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Conformational states control Lck switching between free and confined diffusion modes in T cells

Geva Hilzenrat, Elvis Pandžić, Zhengmin Yang, View ORCID ProfileDaniel J. Nieves, View ORCID ProfileJesse Goyette, Jérémie Rossy, View ORCID ProfileKatharina Gaus
doi: https://doi.org/10.1101/446732
Geva Hilzenrat
1EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia
2ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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Elvis Pandžić
3BioMedical Imaging Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, Australia
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Zhengmin Yang
1EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia
2ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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Daniel J. Nieves
1EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia
2ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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  • ORCID record for Daniel J. Nieves
Jesse Goyette
1EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia
2ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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Jérémie Rossy
4Biotechnology Institute Thurgau, University of Konstanz, Kreuzlingen, Switzerland
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Katharina Gaus
1EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, Australia
2ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia
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  • For correspondence: k.gaus@unsw.edu.au
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Abstract

T cell receptor (TCR) phosphorylation by Lck is an essential step in T cell activation. It is known the conformational states of Lck control enzymatic activity; however, the underlying principles of how Lck finds its substrate in the plasma membrane remain elusive. Here, single-particle tracking is paired with photoactivatable localization microscopy (sptPALM) to observe the diffusive modes of Lck in the plasma membrane. Individual Lck molecules switched between free and confined diffusion in resting and stimulated T cells. Conformational state, but not partitioning into membrane domains, caused Lck confinement as open conformation Lck was more confined than closed. Further confinement of kinase-dead versions of Lck suggests that Lck interacts with open active Lck to cause confinement, irrespectively of kinase activity. Our data supports a model that confined diffusion of open Lck results in high local phosphorylation rates and closed Lck diffuses freely to enable wide-range scanning of the plasma membrane.

T cell signaling is a tightly controlled process involving both simultaneous and sequential spatiotemporal events, involving membrane remodeling and redistribution of key signaling proteins’ 1,2. Engagement of the T cell receptor (TCR) with an antigenic pMHC on the surface of an antigen-presenting cell (APC) leads to the formation of immunological synapses and initiates downstream signaling events that lead to T cell activation 4 The Src family kinase Lck plays a crucial role in the signaling cascade. TCR engagement results in the membrane release 5 and phosphorylation of the immunoreceptor tyrosine-based motifs (ITAMs) located in the cytoplasmic tails of the CD3ζ chain by Lck 6. Phosphorylated sites on the TCR-CD3 complex become docking sites for the zeta chain-associated protein kinase 70 (ZAP70), that is further phosphorylated by Lck 7 before recruiting other proteins in the signaling cascade that are necessary for complete T cell activation.

The role of Lck in T cell activation as a signaling regulator is of particular interest due to its dynamic characteristics. Lck is a 56 kDa protein comprised of a Src homology (SH) 4 domain at the N-terminus, followed by a unique domain, an SH3 domain, an SH2 domain, a kinase domain and short C-terminal tail. Lck is anchored to the plasma membrane through its SH4 domain via post-translational acylation on three specific sites: a myristoylated Gly2 8 and palmitoylated Cys3 and Cys5. The latter two are crucial for membrane binding and biological activity, enabling Lck diffusion in the inner leaflet of the plasma membrane and its recruitment to the immunological synapse 9 The unique domain interacts with the CD3ε subunit in the TCR-CD3 complex 10 as well as the co-receptors CD4 and CD8 11 via zinc-mediated bonds. However, Lck does not require the co-receptors for recruitment to the immunological synapse or for TCR triggering 12, suggesting that freely diffusing Lck is sufficient for T cell activation.

Lck conformation is regulated by the phosphorylation of two tyrosine residues: Tyr394, where phosphorylation increases Lck activity, and Tyr505, whose phosphorylation reduces Lck activity 13,14 Intramolecular interactions between the phosphorylated Tyr505 (pTyr505) and the SH3 and SH2 domains cause rearrangements that keep Lck in a closed, inactive conformation 15,16. When dephosphorylated by CD45, Lck exists in an open, primed conformation. When Tyr394 is trans-autophosphorylated 14, rearrangements in the activation loop stabilize the active conformation 17. Lck’s diffusion behavior 18 and conformational state 19,20 are thought to be regulated by the activation state of the cell. The conformational state also influences Lck clustering 21. This means that not only does Lck conformational state regulate Lck enzymatic activity but also aids in its diffusive search strategy.

Whether Lck becomes ‘active’, i.e., converted into the open conformation upon TCR engagement, has been controversial. There is evidence of global changes in relative populations of closed and open Lck in resting versus stimulated T cells 19,20. These studies propose that Lck undergoes conformational changes upon T cell activation, driving it from its closed state to an open state, therefore enhancing its activity. Using biochemical analyses, conformational heterogeneity was observed in resting and stimulated T cells 22, suggesting a “standby-model” in which ~40% of Lck is in the open conformation in both resting and stimulated T cells. Ballek et al. challenged these observations in a later report that used different cell lysis conditions 13. Another study, based on measurements of fluorescence resonance energy transfer (FRET) between fluorescent proteins fused to the N- and C-terminals of Lck, concluded there was no significant change in open versus closed populations of Lck even after T cell stimulation 24. While different papers report different percentages of open Lck in pre-stimulated cells, constitutively active Lck were also found in CD8+ memory T cells and may account for the enhanced sensitivity to antigen in these cells 25. A pool of active Lck existing prior to T cell stimulation led to the idea that rapid TCR triggering post receptor engagement may be caused by changes in Lck spatial rearrangements as opposed to, or in addition to conformational changes. Using single-molecule localization microscopy in fixed cells, we previously showed that Lck distributed differently on the cell surface depending on its conformational state 21, with open Lck residing preferentially in clusters and closed Lck preventing clustering, regardless of the cell’s activation state. However, this study only captured the overall distribution of open or closed Lck and the movement of Lck clusters, but to understand the search strategy of the membrane-bound kinase the dynamic behavior of individual molecules need to be taken into account.

The efficiency of a dual-state search strategies has previously been demonstrated in other systems 26. For Lck, such a strategies would entail that individual molecules oscillate between two distinct states: a confined state that corresponds to high Lck activity and a diffusive state that enables the kinase to scan the membrane for substrates. Such a dual-state search strategy may account for the high fidelity of Lck-mediated phosphorylation of the available TCR-CD3 complexes while also retaining high signaling sensitivity when membrane-detached cytosolic tails of the CD3 complex are limited. The former would be mediated by the high enzymatic activity in Lck clusters while the high level of diffusion of Lck in the closed state would enable the latter.

The dynamic behavior of Lck was previously mapped with single particle tracking (SPT) in live cells, revealing, for example, the differences in Lck diffusion in stimulated versus resting T cells and the formation of microclusters, but without linking dynamics to conformational states 18,27. Overall changes in diffusion constants were observed, as well as segregation into different confinement zones, attributed to actin and other proteins compartmentalizing the membrane 27,28 or to the formation of membrane microdomains 18. Recently, Lck compartmentalization upon TCR stimulation was attributed to the formation of close-contact zones between the T cell membrane and the stimulating surface, possibly because of exclusion of CD45, in line with the kinetic segregation model 29. These works, however, did not take into account the conformational change in Lck.

In the current study, we utilize SPT using photoactivatable localization microscopy (sptPALM)30 as a tool to study the diffusion of wild type (WT) and mutated Lck, lacking the tyrosine residues on positions 394 and 505, to measure the dynamics of the closed and open forms, respectively 19,20. Lck variants were tagged with photoactivatable monomeric cherry (PAmCherry) 31, expressed in Jurkats 1.6E cells and imaged in resting and activating conditions. Single trajectories were extracted and analyzed in order to find periods when the proteins underwent confined diffusion and the fraction of confined versus free proteins was determined 32. Measurements of different Lck variants showed that conformation has a key role in Lck’s substrate search strategy, with the open form dwelling more in confinements compared to the closed form. Further, we provide evidence of Lck-Lck interaction in the open conformation in stimulated T cells. Taken together, the data suggest that Lck continuously switched between open and closed states, which is likely to determine the probability of productive encounters between Lck and its substrates.

Results

Identification of free and confined states of Lck in live T cells

In order to characterize the diffusion patterns of Lck, we applied single particle tracking on image sequences from different experimental conditions and decomposed each trajectory into free and confined segments. Jurkat E6.1 cells were transfected with either wild-type Lck (wtLck) fused to PAmCherry (wtLck-PAmCherry) or a truncated construct of Lck containing only the first ten amino acids that are responsible for Lck anchoring to the membrane (Lck10-PAmCherry). T cells were stimulated for ~5 minutes at 37°C on a coverslip coated with anti-CD3 and anti-CD28 antibodies and imaged either in live-cell conditions or after chemical fixation. In each experiment we acquired 10,000 frames with an 18 ms exposure for the duration of ~197 s. Imaging was done while continuously photo-activating and exciting the fluorophores. Trajectories shorter than 15 frames and immobile particles (particles with a low RMSD, as described in the Methods section) were excluded from analysis.

We decomposed trajectories by adopting a previously described post-tracking analysis 32. Briefly, every trajectory is first fragmented into overlapping windows. For each window, the normalized variance of the location of the particle is calculated as a measure of the level of confinement, LConf, according to: Embedded Image where Dfree is the diffusion coefficient of freely diffusing Lck in μm2 sec-1, W is the window size in frames, tW is the temporal length of the window in seconds and var(r) is the variance in μm2. We chose the diffusion coefficient of Lck10-PAmCherry as the value for Dfree for all versions of Lck as Lck10 is membrane anchored but does not interact with other proteins. We then defined a threshold of LConf above which particles are considered confined. For this threshold, we chose the most abundant LConf value for wtLck-PAmCherry in stimulated T cells, following the procedure published previously 32 (dotted line in Fig. 1A). This threshold was suitable because the majority of values for Lck10-PAmCherry in resting cells were below this threshold and all values for wtLck-PAmCherry in fixed cells were above the threshold (Fig. 1A). In order to ensure that Lck molecules were in fact confined, rather than just temporarily slowing down, we only regarded a molecule as confined if it has an LConf value above the threshold for three or more consecutive windows. Trajectories were then segmented into confined and free periods (Fig. 1B), depending on whether LConf was above or below the threshold (Fig. 1C). From this analysis it was evident that molecules that diffused slowly for 3 or more consecutive states were found to be confined (Fig. S1). This analysis was applied to all trajectories recorded in a cell (Fig. 1D). As is evident from this sptPALM analysis, individual wtLck-PAmCherry molecules in live cells switched between free and confined diffusive states (Fig. 1D) while in fixed cells, only confined or immobile molecules were observed (Fig. 1D).

Fig.1
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Fig.1 wtLck switches between free and confined states.

(A) Lconf acquired for Lck10-PAmCherry in resting Jurkat cells (purple), wtLck-PAmCherry in stimulated Jurkat cells (orange) and wtLck-PAmCherry in fixed cells (cyan), normalized to peak value. The dashed vertical line marks the threshold where a particle was to be considered confined, i.e., if it had three or more consecutive steps with an LConf value greater than that threshold. (B) An experimental trajectory decomposed to free (magenta) and confined (cyan) states, with the confinements highlighted in yellow circles. (C) Time evolution of LConf values for the trajectory in (B) with the threshold marked with an orange dashed line and the confined periods with a yellow shade. (D) Trajectory decomposition maps of wtLck-PAmCherry in a stimulated live cells (left) and fixed Jurkat cells (right) Free periods are colored magenta, whereas confined periods are colored cyan. Scale bar = 5 μm. (E) 5 μm by 5 μm zoomed-in regions of interest in (D) (top – live, bottom - fixed). Scale bar = 1 μm.

Wild-type Lck was more confined in stimulated than resting T cells

Previous studies provided evidence that T cell activation decreases the overall diffusion of Lck 18,27 In our experiments, resting T cell data was generated by placing T cells expressing wtLck-PAmCherry onto coverslips coated with anti-CD90 antibodies. This resulted in good T cell adhesion, but not TCR signaling or T cell activation 33. Our measurements confirmed the decrease in diffusion (Fig 2A; Movie S1: resting - right, stimulated - left), with diffusion coefficients of 1.16 μm2 s-1 (1.15-1.17) to 0.69 μm2 s-1 (0.68-0.7) for resting and stimulated cells, respectively (Fig. 2A, Fig. S2a; Movie S1). We wanted to assess whether this slowdown is caused by enhanced spatial compartmentalization in the membrane. Thus, we conducted the LConf analysis for wtLck-PAmCherry in resting and stimulated cells. When comparing the LConf histogram of wtLck in stimulated T cells (Fig. 2B, blue) versus resting T cells (Fig. 2B, orange), it is noticeable that the values in activated cells are shifted to higher values, resulting in a mean LConf value of 32.9 in stimulated cells and 29.1 in resting cells.

Fig.2
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Fig.2 wtLck-PAmCherry is more confined in stimulated cells.

(A) Representative stimulated and resting Jurkat E6-1 cells expressing wtLck-PAmCherry. The left panels show bright field images of the cells with detected trajectories overlaid, color-coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar = 5 μm. Bottom: diffusions histogram corresponding to the cells above, sharing mutual color-coding. (B) LConf histograms for wtLck-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined wtLck-PAmCherry molecules obtained for 13 stimulated (blue) and 17 resting (orange) Jurkat cells. Box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, **** p≤0.00001.

Next we examined whether the decrease in local displacement variance is due to a redistribution of wtLck-PAmCherry into confinements that would result in an increase in the number of consecutive steps that fall above the LConf threshold value. Thus, we segmented the total video into segments of five frames (Fig. S3), in which we asked how many particles, out of the total number of particles imaged, were confined. Histograms obtained for stimulated and non-stimulated cells (Fig. 2C) were collected. There was a clear difference in peak value for the two populations as well as a larger tail of high values for wtLck-PAmCherry in stimulated cells. As a consequence, the populations were statistically different (Fig. 2C) when tested against the null hypothesis according to which the samples are drawn from the same population, using the rank sum test, with different medians and non-overlapping 95% confidence intervals with the values of 27.27% (26.67-27.78) and 22.22% (21.82-22.73) for stimulated and resting cells, respectively. The percentage of confined wtLck-PAmCherry were 30.97% (30.63-31.3) and 26.4% (26.14-26.68) in stimulated and resting cells, respectively.

Overall, these results show that wtLck-PAmCherry diffused slower in stimulated cells compared to resting cells, suggesting that in addition to a global reduction in diffusion, a redistribution of Lck into confinements had occurred. These results are in agreement with an increase in wtLck-PAmCherry clustering in fixed stimulated versus fixed resting T cells 21.

Membrane anchoring alone is not contributing to Lck confinement

Lck confinement may be attributed to the formation of membrane domains, i.e., changes in membrane order, as a result of TCR triggering 34 If that is the case, a truncated version of Lck, Lck10, that includes the first ten amino acids that are responsible to Lck anchoring to the membrane as it contains the post-translational lipid modifications, is expected to experience the same slowdown and confinement as full-length Lck. However, we did not observe such a scenario (Fig. 3A; Movie S2), as the diffusion coefficients found for Lck10-PAmCherry in stimulating and resting conditions remained high (Fig. S2b). The overall level of confinement of Lck10-PAmCherry was almost identical for both resting and stimulated cells, with a peak LConf value of 7.2 and 7.74, respectively (Fig. 3B). These values were significantly different from the ones found for wtLck-PAmCherry, with most of the probability function having a value below the threshold described above. A histogram of confinement events (Fig. 3C) shows comparable peak values for both stimulated and resting cells. No statistically significant difference was found between the two samples (Fig. 3C, top panel), as shown by median of 9.62% (9.43-9.8) and 9.68% (9.52-10.00) for Lck10-PAmCherry expressed in stimulated and resting cells, respectively. Further, the mean fraction of confined particles was slightly higher in resting cells, with values of 13.96% (13.74-14.18) and 14.73% (14.45-15.00) for stimulated and resting cells, respectively. These values were lower than those found for wtLck-PAmCherry, suggesting Lck10-PAmCherry was far less confined than wtLck-PAmCherry, even in stimulated cells.

Fig. 3
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Fig. 3 Lck10-PAmCherry demonstrates free-diffusion in resting and stimulated calls.

(A) Representative stimulated and resting Jurkat E6-1 cells expressing Lck10-PAmCherry. The left panels show bright field images of the cells with detected trajectories overlaid, color-coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar = 5 μm. Bottom: diffusions histogram corresponding to the cells above, sharing mutual color-coding. (B) LConf histograms for Lck10-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined Lck10-PAmCherry molecules obtained for 19 stimulated (blue) and 15 resting (orange) Jurkat cells. Box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, n.s. p>0.01

Taken together, the data strongly suggest that the increased confinement observed for full-length wtLck-PAmCherry was not due to global changes in membrane organization or membrane domains 18 as confinement of Lck10 in resting and stimulated T cells was similar.

Open Lck is highly confined in stimulated and resting cells

Previously, we reported that Lck clustering was regulated by the kinase’s conformational state 21. We thus quantified the influence of conformation on confinement of Lck in live cells. First, we introduced a Tyrosine-to-Phenylalanine mutation at position 505 in Lck (LckY505F). The mutation prevents the binding of Lck pTyr505 to its own SH2 domain. This mutation is well known as ‘constitutively open’ 19-21,24,35 and ‘hyperactive’ 13. An overall change in the diffusion constants due to cell activation (Fig. 4A; Movie S3) was observed, with values of 0.65 μm2 s-1 (0.64-0.66) and 0.95 μm2 s-1 (0.94-0.96) in stimulated and resting cells, respectively (Fig. S2c). Further, LConf values for LckY505F-PAmCherry were higher than that of wtLck-PAmCherry (Fig. 4B), with peak values of 39.28 and 42.53 in stimulated and resting cells, respectively, with <50% of log10(LConf) events above the confinement threshold. In contrast to wtLck-PAmCherry, the LConf distributions of LckY505-PAmCherry were similar in resting and stimulated T cells. This similarity was also observed in the histograms of the confined fractions (Fig. 4C), with a large population of LckY505 molecules falling into the right tail of the distribution. Importantly, unlike in the corresponding data for wtLck-PAmCherry, these values were not significantly different from each other (Fig. 4C, top), with median values and overlapping 95% confidence interval of 26.55% (26.32-26.67) and 26.39% (26.14-26.67) for stimulated and resting cells, respectively. The means of LckY505 were 29.85% (29.59-30.11) and 29.97% (29.74-30.22) in stimulated and resting cells, respectively.

Fig. 4
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Fig. 4 LckY505F-PAmCherry is equally confined in stimulated and resting cells.

(A)Representative stimulated and resting Jurkat E6-1 cells expressing LckY505F-PAmCherry. The left panels show bright field images of the cells with detected trajectories overlaid, color-coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar = 5 μm. Bottom: diffusions histogram corresponding to the cells above, sharing mutual color-coding. (B) LConf histograms for LckY505F-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined LckY505F-PAmCherry molecules obtained for 14 stimulated (blue) and 18 resting (orange) Jurkat cells. Box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, n.s. p>0.01.

These data show that when Lck is locked in the open state, it is also driven into a more confined diffusive behavior, which is comparable with wtLck-PAmCherry in stimulated cells (Fig. S4). Although the diffusion coefficient found for LckY505F-PAmCherry is lower, in terms of confinement, open Lck was insensitive to the T cell activation with LckY505F-PAmCherry confinement levels being similar in both stimulated and resting cells. This indicates that Lck confinement is driven by the open conformation of the kinase and supports that a higher proportion of Lck is in the open conformation in stimulated T cells 19,20,36.

Closed Lck is as confined as wild-type Lck in resting cells

To further investigate the hypothesis that Lck conformation regulates Lck diffusive behavior, we expressed a closed form of Lck in Jurkat cells. A mutation in position 394 converting a tyrosine into phenylalanine (LckY394F) prevents the formation of the activation loop and results in reduced-activity 14 or an inactive Lck 13 because of the hyper-phosphorylated tyr50522 that constitutively closes the enzyme 19.

As with the wtLck and LckY505F, LckY394F-PAmCherry did undergo a decrease in diffusion coefficient due to stimulation (Fig.5A; Movie S4), from 1.24 μm2 s-1 (1.22-1.26) in resting cells to 0.88 μm2 s-1 (0.87-0.89) in stimulated cells (Fig. S2d). We applied the same sptPALM analysis to LckY394F-PAmCherry and lower LConf values were obtained with peak values of 32.93 and 30.36 in stimulated and resting cells, respectively (Fig. 5B). Histograms of the fraction of confined LckY394F-PAmCherry showed the populations were skewed towards lower values (Fig. 5C). Similarly to LckY505F-PAmCherry, LckY394F-PAmCherry showed no statistically significant difference between stimulated and resting cells (Fig. 5C, top panel) and medians of 22.22% (21.88-22.58) and 21.95% (21.43-22.22) for LckY394F-PAmCherry in stimulated and resting cells, respectively. The mean confinement fractions were 26.09% (25.85-26.33) and 26.24% (25.92-26.55) for LckY394F-PAmCherry in stimulated and resting cells, respectively.

Fig. 5
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Fig. 5 LckY394F-PAmCherry is equally confined in stimulated and resting cells.

(A)Representative stimulated and resting Jurkat E6-1 cells expressing LckY394F-PAmCherry. The left panels show bright field images of the cells with detected trajectories overlaid, color-coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar = 5 μm. Bottom: diffusions histogram corresponding to the cells above, sharing mutual color-coding. (B) LConf histograms for LckY394F-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined LckY394F-PAmCherry molecules obtained for 16 stimulated (blue) and 14 resting (orange) Jurkat cells. Box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, n.s. p>0.01.

The confinement fraction values we found for the closed Lck were smaller than the ones found for the open Lck (Fig. S4), illustrating the significance conformational states have on Lck diffusion. Indeed closed Lck has a similar level of confinement as wtLck in resting cells while open Lck was similarly confined as wtLck in activated cells (Fig. S4). Thus, the data confirms that confinements are regulated by the conformational state of Lck with open Lck being more confined and closed Lck being less confined.

Lck self-associates with other Lcks, depending on its conformation and activity

An open Lck that is also phosphorylated in Tyrosine 394 is known to be active, while studies done on LckY505F showed hyperactivity 13,14 By expressing a constitutively inactive Lck, we could assess whether Lck confinement relies on enzymatic activity. We tested an Lck variant in which the lysine in position 273 in the kinase domain is replaced with Arginine (LckK273R-PAmCherry, Fig. 6, Fig. S5), which has been shown to render Lck kinase-dead 37. Different diffusion coefficients of 0.82 μm2 s-1 (0.81-0.83) and 1.13 μm2 s-1 (1.12-1.15) were observed for LckK273R-PAmCherry in stimulated and resting cells, respectively (Fig. S2e). However, similar LConf histograms, with values of 34.80 for stimulated and 37.58 for resting cells, were obtained (Fig. 6B, blue and orange) with no significant difference observed in the fraction of time spent confined (Fig 6C, blue and orange). Additionally, LckK273R-PAmCherry spent 25.80% (25.56-26.07) and 25.62% (25.38-25.86) of time confined in stimulated and resting cells, respectively (Fig 6C). Thus, the level of confinement kinase-dead Lck did not depend on the T cell activation status as it did for wtLck (Fig. S5). Assuming that the K273R mutation disables Lck activation via autophosphorylation, as hypothesized previously 13, the finding suggest that confinement of wtLck in stimulated T cells is regulated by Lck activation.

Fig. 6
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Fig. 6 Confinement analyses for LckK273R-PAmCherry and LckK273R’ Y505F-PAmCherry in stimulated and resting cells.

(A) Representative stimulated and resting Jurkat E6-1 cells expressing LckK273R-PAmCherry and LckK273R’ Y505F-PAmCherry. The left panels show bright field images of the cells with detected trajectories overlaid, color-coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar = 5 μm. Bottom: diffusions histogram corresponding to the cells above, sharing mutual color-coding. (B) LConf histograms for LckK273R-PAmCherry and LckK273R,Y505F-PAmCherry in and stimulated cells. (orange, blue, purple and yellow, respectively). (C) Histograms of the fraction of confined LckK273R-PAmCherry molecules obtained for 12 stimulated (blue) and 14 resting (orange) Jurkat cells and histograms of the fraction of confined LckK273R,Y505F-PAmCherry obtained for 8 stimulated (yellow) and 8 resting (purple) Jurkat cells. Box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, **** p≤0.00001, n.s. p>0.01.

To further test this hypothesis, we expressed a constitutively-open kinase-dead mutant LckK273R’ Y505F-PAmCherry. This mutant had slower diffusion coefficients of 0.41 μm2 s-1(0.41-0.42) and 0.51 μm2 s-1 (0.5-0.51) in stimulated and resting cells, respectively (Fig. 6A; Fig. S2f; Movie S5), values that were slower than those obtained for LckK273R-PAmCherry (Fig. S2e, f). Further, LckK273R’ Y505F-PAmCherry had higher Lconf values in stimulated cells (Fig. 6C, purple and yellow) compared to resting cells (44.78 and 35.09, respectively).

Conducting the same analysis to quantify confinement fractions, we found a large fraction of kinase-dead mutant in the open conformation was highly confined in stimulated cells (Fig. 6C, purple and yellow). When comparing total trajectories, Lck K273R, Y505F-PAmCherry in stimulated cells was more confined than in resting cells and more than LckK273R in both cell activation statuses (Fig. S5). These data confirm the conclusion that open, but not necessarily enzymatically active Lck confined the kinase in distinct zones in the plasma membrane.

LckK273R, Y505F-PAmCherry was more confined in stimulated cells (26.97% (26.76-27.18)) than resting cells (23.30% (23.08-23.52)). It is possible that the open, kinase-dead variant of Lck interacts with endogenous Lck in Jurkat cells that were already shown to be confined in stimulated cells (Fig. 2). This would suggest that open Lck is confined in activated T cells by Lck-Lck interaction. Moreover, the lowered confinement for the K273R-Y505F mutant in resting cells compared to stimulated cells excludes the possibility of confinement due to increase in hydrodynamic radius of the enzyme (Fig. S5). Taken together, the experiments with the kinase-dead version of Lck confirmed the finding that it was the open conformation that caused the Lck confinement. Thus it is likely that the enzyme switches between open and close conformation, which results in a dual-state search strategy where open and active Lck is confined, and closed and inactive Lck diffuses freely (Fig. 7).

Fig. 7
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Fig. 7 Two-stage diffusion model of Lck that combines an efficient search strategy with a high phosphorylation rates of substrates.

Lck (illustrated in blue) exists in two main conformations: a closed conformation characterized by low catalytic activity and mediated by intramolecular interactions; and an open conformation characterized by high catalytic activity and free SH2 and SH3 domains. Our data propose that the closed conformation diffuses unimpeded (purple line), whereas the open conformation interacts with other membrane proteins (illustrated in green) via SH2 and SH3 domain mediated interactions and becomes confined (yellow circles) through rapid rebinding (teal line). Free diffusion allows Lck to scan large membrane areas while confinement in the open conformation enables high substrate phosphorylation rates.

Discussion

Phosphorylation of the TCR-CD3 complex by the kinase Lck is an essential step in T cell activation 38. While it is relatively well documented that the conformational states control enzymatic activity, how membrane-bound Lck finds and phosphorylates its substrates is not well understood. For example, the link between phosphorylation state and activity is well established 39, as well as some interactions of Lck with other proteins 40-43 and lipids 44 Most studies so far have focused on whether or not T cell stimulation results in an ‘activation’ of Lck itself, i.e., whether there is an overall increase of Lck molecules in the open conformation and whether a stable pool of open Lck already exists in resting T cells. However, it is also possible that in the dynamic environment of the inner leaflet of the plasma membrane, Lck switches between open and closed states, as many other types of enzymes do 45-47. Utilizing single molecule localization microscopy (SMLM) techniques, our group showed that open Lck clusters were bigger and denser than closed Lck clusters 21. In SMLM, re-excitation of the same molecule can lead to overestimation of clustering 48. Thus, we investigated here whether Lck switches between confined and free diffusion modes. By tracking single Lck molecules, we were indeed able to set a threshold to distinguish a population that diffuses freely from one that exhibited restricted diffusion. We found that wild-type Lck (wtLck-PAmCherry) transitioned between free and confined states in both resting and stimulated T cells, strongly suggesting that the kinase has a sophisticated search strategy.

In a study employing immunofluorescence staining, a pre-existing pool of constitutively active Lck was used to explain the readiness of Lck to phosphorylate the TCR immediately after T cell stimulation 22, while showing no difference in the fraction of open Lck when comparing stimulated to resting cells. Therefore, it was speculated that Lck undergoes re-distribution upon T-cell stimulation, while maintaining the same overall fraction of Lck in the open and closed conformation. By examining the diffusion modes of Lck, as a function of conformational status, we can provide an alternative explanation of how the kinase can be efficient at both searching for substrates and phosphorylating the TCR complex. Firstly, we found that T cell stimulation significantly changed the behavior of wtLck, promoting Lck molecules to spend more time in confinements, compared to resting cells. Further our results showed that in resting cells, wtLck behaved like the closed Lck mutant in both activating and resting conditions. In contrast, in stimulated cells, wtLck demonstrated a diffusion pattern that was similar to that of the open Lck mutant in both conditions. These observations led us to the conclusion that T cell activation leads to a higher proportion of open Lck, supporting the recent findings that were obtained with a fluorescence resonance energy transfer (FRET) Lck biosensor 19 Our findings do not exclude the possibility of a pre-existing pool of open Lck.

Comparing the level of confinement of open and closed Lck mutations (Fig. S4) clearly showed that diffusion behaviour dependent on the conformational state of the enzyme. LckY394F-PAmCherry i.e. closed Lck was confined than wtLck-PAmCherry in stimulated cells and LckY505F-PAmCherry i.e. open Lck in stimulated and resting cells. Further, LckY394F-PAmCherry demonstrated similar confinement to that of wtLck-PAmCherry in resting cells. The values obtained for the open mutant, both in stimulated and resting cells were closer to the value that we obtained for wtLck-PAmCherry in stimulating conditions. Taken together, our data support that notion that the open conformational state of Lck is responsible for Lck confinement and that T cell activation resulted in converting some of the wtLck molecules into the open state 19,20.

All Lck variants demonstrated some level of confinement in resting conditions. As these results were obtained by expressing Lck variants in Jurkat cell lines, this confinement may be an outcome of self-association with endogenous active Lck, and may be related to a pre-existing pool of opened Lck in resting cells. Other mechanisms such as Lck’s SH4 domain interaction with lipid rafts 49,50 and microdomains 51,52 were previously suggested. Such scenarios should have, however, also affected Lck10-PAmCherry, as this segment is responsible for anchoring Lck to the membrane and should have resulted in slower diffusion in stimulated cells. However this was not the case; similarly to closed Lck (LckY394F-PAmCherry) we found no difference in confinement of Lck10-PAmCherry in resting and stimulated T cells. Further, one may hypothesize that Lck confinement is indirectly related to membrane domains, by interacting with other proteins that are lipid raft-associated. However, from our results with open Lck (LckY505F-PAmCherry) we could not find support for this idea, as LckY505F was similarly confined in resting and stimulated cells.

The kinase-dead mutant, Lcky-PAmCherry, was found to be minimally-confined in resting and stimulated cells. It is possible that the K273R mutation in Lck prevents the rearrangements in the activation loop that prevent self-association of LckK273R, or interaction with other proteins, thus, limiting confinement 13. Relying on our results obtained for wtLck-PAmCherry, and thus assuming that a greater population of endogenous Lck was in the open, confined state in stimulated Jurkat cells compared to resting cells, LckK273R, Y505F-PAmCherry was found to be highly confined in stimulated cells, supporting the hypothesis that Lck self-associated with other active Lck, therefore, promoting a more confined population. This is consistent with a previous report on Lck self-association in the open conformation 43. Given that Lck in the open conformation exhibited confined diffusion and hyperactivity 13,14, it is highly likely that this state results in high local phosphorylation rates.

In conclusion, we provide evidence that the conformation of Lck was the main driver of Lck diffusion modes with open Lck causing confined diffusion and closed Lck enabling free diffusion. Individual Lck molecules can switch between confined and free diffusion in resting and stimulated T cells. This is consistent with a dual-state search strategy that enables Lck to scan large areas of the membrane in the closed state, but efficiently phosphorylate TCR-CD3 complexes at numerous sites in the open state.

Methods and Materials

Plasmids

Lck and Lck10 were amplified by PCR and inserted within the Ecot1 and Age1 restriction sites of a pPAmCherry-N1 plasmid. Y394F, Y505F and K273R mutations were further introduced via site-directed mutagenesis.

Sample Preparation

Jurkat cells were cultured in RPMI medium (Gibco) containing phenol-red and supplemented with 10% (vol/vol) FBS, 2 mM L-glutamine (Invitrogen), 1 mM penicillin (Invitrogen) and 1 mM streptomycin (Invitrogen). Cell cultures were passaged normally every ~48 hours, when the cell count reached ~8×105 viable cells per ml. The cells were cultured for at least 1 week (3-4 passages) after thawing prior to transfection and imaging. No cells were used after passage 20.

Cells were transfected by electroporation (Neon; Invitrogen); briefly, cells were collected before reaching a cell density of 8×105 cell/ml and while ≥90% viable. The cells were washed twice with 1x PBS in 37°C and resuspended in the resuspension buffer (R-buffer) provided with the Neon kit. Three pulses of 1325 V with 10 ms duration were applied. The cells were allowed to recover in clear RPMI 1640 medium (Gibco) supplemented with 20% HI-FBS for overnight. Prior to imaging, fresh warm (37°C) media with 40 mM HEPES, pH 7.4 was added to achieve a final concentration of 20 mM HEPES.

1.5H coverslips (Marienfeld-Superior) were waterbath-sonicated in four 30-minutes stages: 1 M KOH, Acetone, EtOH and ultra-pure (18 MΩ) water. The coverslips were then allowed to adsorb 0.01% PLL (Sigma) in ultra-pure water for 15 minutes. Excess solution was later aspirated and the coverslips were baked-dry in 60 °C for 1 hour. Finally, after cooling-down, the coverslips were coated with either 0.01 mg/ml anti-CD3 (OKT3; eBioscience) and 0.01 mg/ml anti-CD28 (CD28.2; Invitrogen) for stimulating conditions or 0.01 mg/ml αCD90 for (Thy-1; eBioscience) for resting conditions and let rest in 4°C overnight before imaging. The coverslips were washed 3 times with phosphate buffer saline (PBS) pre-warmed to 37°C before the cells were transferred onto them to interact with the antibodies. For live-cell experiments, imaging took place ~5 minutes after cell-transfer, or fixed with 4% paraformaldehyde (P6148; Sigma) in 37°C, followed by 3 washing cycles with PBS for fixed-cell imaging.

Imaging

For each sptPALM experiment 10,000 frames were acquired in a ~50 frames per second (18 ms exposure time) rate on a total internal reflection fluorescence (TIRF) microscope (ELYRA, Zeiss) in 37 °C using a 100× oil immersion objective (N.A. = 1.46) and a 67.5° incident beam angle. PAmCherry fused to Lck variants were continuously photoactivated using a 405 nm laser radiation tuned to 0.5-5 μW (interchangeable during acquisition to maintain a low density) and continuously excited with a 561 nm laser tuned to 2.5 mW. Point density was monitored by using ZEN (Zeiss) online-processing tool.

Data Analysis

All accumulated data are comprised of three biologically-independent experiments, i.e. each mutant was imaged in two or more cells (in one of the three repetitions, where a repetition relates to a different transfection) in each cell-activation state (stimulated or resting). We used Diatrack 53 for fitting the point spread functions (PSFs) to a Gaussian with a 1.75 pixel width (1 pixel ≈ 0.097 nm) and then to track the particles by setting the search radius to 10 pixels. The data was later analyzed by a custom MATLAB (Mathworks) adaptation of the trajectory analysis part of a previously published multi-target tracing (MTT) code 32. Immobile particles (RMSD < 2 pixels) and trajectories shorter than 15 frames were excluded from analysis. Stages of confined and free diffusion were detected according to equation 1, with Dfree = 2.15 μm2 /sec (Fig. S2b, bottom), W = 4 and tW was the sum of the exposure time and the CCD reading time (~19.7 ms). To detect time spent in confinement, each sequence was segmented to non-overlapping windows of 5 frames and in each block of 5 frames, the ratio of confined:total particles was calculated. Each value of one 5 frames-window is a count in the histogram. All data processing and statistical analyses were performed in MATLAB.

Statistical Tests

To compare between two populations of confinement fractions, that do not normally distribute, we used the Mann-Whitney U test, while the Kruskal-Wellis test was used for multiple datasets followed by a bonferroni post-hoc test. **** and n.s. indicate p≤0.00001 and p>0.01, respectively. Ranges around median and mean values in supplementary text are the 95% confidence intervals calculated from bootstrapping the data by sampling 10,000 times.

Funding

K.G. acknowledges funding from the ARC Centre of Excellence in Advanced Molecular Imaging (CE140100011), Australian Research Council (LP140100967 and DP130100269) and National Health and Medical Research Council of Australia (1059278 and 1037320).

Author Contributions

GH performed experiments, modified analysis, analyzed data, and wrote manuscript. EP established analysis and helped write the manuscript. ZY was responsible for the generation of Lck constructs. DJN and JG aided in writing and drafting of the manuscript. JR provided guidance with experiments. KG designed the project, interpreted the data and wrote the manuscript.

Competing interests

The authors declare no competing interests.

References and Notes

  1. ↵
    Klammt, C. & Lillemeier, B. F. How membrane structures control T cell signaling. Front Immunol 3, 291, doi:10.3389/fimmu.2012.00291 (2012).
    OpenUrlCrossRefPubMed
  2. ↵
    Guy, C. S. & Vignali, D. A. Organization of proximal signal initiation at the TCR:CD3 complex. Immunol Rev 232, 7–21, doi:10.1111/j.1600-065X.2009.00843.x (2009).
    OpenUrlCrossRefPubMedWeb of Science
  3. Dustin, M. L. The immunological synapse. Cancer Immunol Res 2, 1023–1033, doi:10.1158/2326-6066.CIR-14-0161 (2014).
    OpenUrlAbstract/FREE Full Text
  4. ↵
    Carreno, L. J. et al. T-cell antagonism by short half-life pMHC ligands can be mediated by an efficient trapping of T-cell polarization toward the APC. Proc Natl Acad Sci U S A 107, 210–215, doi:10.1073/pnas.0911258107 (2010).
    OpenUrlAbstract/FREE Full Text
  5. ↵
    van der Merwe, P. A., Zhang, H. & Cordoba, S. P. Why do some T cell receptor cytoplasmic domains associate with the plasma membrane? Front Immunol 3, 29, doi:10.3389/fimmu.2012.00029 (2012).
    OpenUrlCrossRefPubMed
  6. ↵
    Rossy, J., Williamson, D. J. & Gaus, K. How does the kinase Lck phosphorylate the T cell receptor? Spatial organization as a regulatory mechanism. Front Immunol 3, 167, doi:10.3389/fimmu.2012.00167 (2012).
    OpenUrlCrossRefPubMed
  7. ↵
    Weiss, A. T cell antigen receptor signal transduction: a tale of tails and cytoplasmic protein-tyrosine kinases. Cell 73, 209–212 (1993).
    OpenUrlCrossRefPubMedWeb of Science
  8. ↵
    Kabouridis, P. S., Magee, A. I. & Ley, S. C. S-acylation of LCK protein tyrosine kinase is essential for its signalling function in T lymphocytes. EMBO J 16, 4983–4998, doi:10.1093/emboj/16.16.4983 (1997).
    OpenUrlAbstract
  9. ↵
    Yurchak, L. K. & Sefton, B. M. Palmitoylation of either Cys-3 or Cys-5 is required for the biological activity of the Lck tyrosine protein kinase. Mol Cell Biol 15, 6914–6922 (1995).
    OpenUrlAbstract/FREE Full Text
  10. ↵
    Li, L. et al. Ionic CD3-Lck interaction regulates the initiation of T-cell receptor signaling. Proc Natl Acad Sci U S A 114, E5891–E5899, doi:10.1073/pnas.1701990114 (2017).
    OpenUrlAbstract/FREE Full Text
  11. ↵
    Briese, L. & Willbold, D. Structure determination of human Lck unique and SH3 domains by nuclear magnetic resonance spectroscopy. BMC Structural Biology 3, 3, doi:10.1186/1472-6807-3-3 (2003).
    OpenUrlCrossRef
  12. ↵
    Casas, J. et al. Ligand-engaged TCR is triggered by Lck not associated with CD8 coreceptor. Nature Communications 5, 5624, doi:10.1038/ncomms6624 (2014).
    OpenUrlCrossRefPubMed
  13. ↵
    Liaunardy-Jopeace, A., Murton, B. L., Mahesh, M., Chin, J. W. & James, J. R. Encoding optical control in LCK kinase to quantitatively investigate its activity in live cells. Nat Struct Mol Biol 24, 1155–1163, doi:10.1038/nsmb.3492 (2017).
    OpenUrlCrossRefPubMed
  14. ↵
    Hui, E. & Vale, R. D. In vitro membrane reconstitution of the T-cell receptor proximal signaling network. Nat Struct Mol Biol 21, 133–142, doi:10.1038/nsmb.2762 (2014).
    OpenUrlCrossRefPubMed
  15. ↵
    Nika, K. et al. A weak Lck tail bite is necessary for Lck function in T cell antigen receptor signaling. J Biol Chem 282, 36000–36009, doi:10.1074/jbc.M702779200 (2007).
    OpenUrlAbstract/FREE Full Text
  16. ↵
    Gervais, F. G., Chow, L. M., Lee, J. M., Branton, P. E. & Veillette, A. The SH2 domain is required for stable phosphorylation of p56lck at tyrosine 505, the negative regulatory site. Mol Cell Biol 13, 7112–7121 (1993).
    OpenUrlAbstract/FREE Full Text
  17. ↵
    Davis, S. J. & van der Merwe, P. A. Lck and the nature of the T cell receptor trigger. Trends in Immunology 32, 1–5, doi:https://doi.org/10.1016/j.it.2010.11.003 (2011).
    OpenUrlCrossRefPubMed
  18. ↵
    Douglass, A. D. & Vale, R. D. Single-molecule microscopy reveals plasma membrane microdomains created by protein-protein networks that exclude or trap signaling molecules in T cells. Cell 121, 937–950, doi:10.1016/j.cell.2005.04.009 (2005).
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    Philipsen, L. et al. De novo phosphorylation and conformational opening of the tyrosine kinase Lck act in concert to initiate T cell receptor signaling. Sci Signal 10, doi:10.1126/scisignal.aaf4736 (2017).
    OpenUrlAbstract/FREE Full Text
  20. ↵
    Stirnweiss, A. et al. T cell activation results in conformational changes in the Src family kinase Lck to induce its activation. Sci Signal 6, ra13, doi:10.1126/scisignal.2003607 (2013).
    OpenUrlAbstract/FREE Full Text
  21. ↵
    Rossy, J., Owen, D. M., Williamson, D. J., Yang, Z. & Gaus, K. Conformational states of the kinase Lck regulate clustering in early T cell signaling. Nat Immunol 14, 82–89, doi:10.1038/ni.2488 (2013).
    OpenUrlCrossRefPubMed
  22. ↵
    Nika, K. et al. Constitutively active Lck kinase in T cells drives antigen receptor signal transduction. Immunity 32, 766–777, doi:10.1016/j.immuni.2010.05.011 (2010).
    OpenUrlCrossRefPubMedWeb of Science
  23. Ballek, O., Valecka, J., Manning, J. & Filipp, D. The pool of preactivated Lck in the initiation of T-cell signaling: a critical re-evaluation of the Lck standby model. Immunol Cell Biol 93, 384–395, doi:10.1038/icb.2014.100 (2015).
    OpenUrlCrossRef
  24. ↵
    Paster, W. et al. Genetically encoded Forster resonance energy transfer sensors for the conformation of the Src family kinase Lck. J Immunol 182, 2160–2167, doi:10.4049/jimmunol.0802639 (2009).
    OpenUrlAbstract/FREE Full Text
  25. ↵
    Moogk, D. et al. Constitutive Lck Activity Drives Sensitivity Differences between CD8+ Memory T Cell Subsets. J Immunol 197, 644–654, doi:10.4049/jimmunol.1600178 (2016).
    OpenUrlAbstract/FREE Full Text
  26. ↵
    Bénichou, O., Loverdo, C., Moreau, M. & Voituriez, R. Intermittent search strategies. Reviews of Modern Physics 83, 81–129 (2011).
    OpenUrlCrossRef
  27. ↵
    Ike, H. et al. Mechanism of Lck recruitment to the T-cell receptor cluster as studied by single-molecule-fluorescence video imaging. Chemphyschem 4, 620–626, doi:10.1002/cphc.200300670 (2003).
    OpenUrlCrossRefPubMedWeb of Science
  28. ↵
    Ballek, O. et al. TCR Triggering Induces the Formation of Lck-RACK1-Actinin-1 Multiprotein Network Affecting Lck Redistribution. Front Immunol 7, 449, doi:10.3389/fimmu.2016.00449 (2016).
    OpenUrlCrossRef
  29. ↵
    Fernandes, R. A. et al. Constraining CD45 exclusion at close-contacts provides a mechanism for discriminatory T-cell receptor signalling. bioRxiv, doi:10.1101/109785 (2017).
    OpenUrlAbstract/FREE Full Text
  30. ↵
    Manley, S. et al. High-density mapping of single-molecule trajectories with photoactivated localization microscopy. Nat Methods 5, 155–157, doi:10.1038/nmeth.1176 (2008).
    OpenUrlCrossRefPubMedWeb of Science
  31. ↵
    Subach, F. V. et al. Photoactivatable mCherry for high-resolution two-color fluorescence microscopy. Nat Methods 6, 153–159, doi:10.1038/nmeth.1298 (2009).
    OpenUrlCrossRefPubMedWeb of Science
  32. ↵
    Serge, A., Bertaux, N., Rigneault, H. & Marguet, D. Dynamic multiple-target tracing to probe spatiotemporal cartography of cell membranes. Nat Methods 5, 687–694, doi:10.1038/nmeth.1233 (2008).
    OpenUrlCrossRefPubMedWeb of Science
  33. ↵
    Ma, Y. et al. An intermolecular FRET sensor detects the dynamics of T cell receptor clustering. Nat Commun 8, 15100, doi:10.1038/ncomms15100 (2017).
    OpenUrlCrossRef
  34. ↵
    Gaus, K., Chklovskaia, E., Fazekas de St Groth, B., Jessup, W. & Harder, T. Condensation of the plasma membrane at the site of T lymphocyte activation. J Cell Biol 171, 121–131, doi:10.1083/jcb.200505047 (2005).
    OpenUrlAbstract/FREE Full Text
  35. ↵
    Ledbetter, J. A. et al. CD4, CD8 and the role of CD45 in T-cell activation. Current Opinion in Immunology 5, 334–340, doi:https://doi.org/10.1016/0952-7915(93)90050-3 (1993).
    OpenUrlCrossRefPubMed
  36. ↵
    Simeoni, L. Lck activation: puzzling the pieces together. Oncotarget 8, 102761–102762, doi:10.18632/oncotarget.22309 (2017).
    OpenUrlCrossRef
  37. ↵
    Laham, L. E., Mukhopadhyay, N. & Roberts, T. M. The activation loop in Lck regulates oncogenic potential by inhibiting basal kinase activity and restricting substrate specificity. Oncogene 19, 3961–3970, doi:10.1038/sj.onc.1203738 (2000).
    OpenUrlCrossRefPubMed
  38. ↵
    Chakraborty, A. K. & Weiss, A. Insights into the initiation of TCR signaling. Nat Immunol 15, 798–807, doi:10.1038/ni.2940 (2014).
    OpenUrlCrossRefPubMed
  39. ↵
    D′Oro, U., Sakaguchi, K., Appella, E. & Ashwell, J. D. Mutational analysis of Lck in CD45- negative T cells: dominant role of tyrosine 394 phosphorylation in kinase activity. Mol Cell Biol 16, 4996–5003 (1996).
    OpenUrlAbstract/FREE Full Text
  40. ↵
    Courtney, A. H. et al. A Phosphosite within the SH2 Domain of Lck Regulates Its Activation by CD45. Mol Cell 67, 498–511 e496, doi:10.1016/j.molcel.2017.06.024 (2017).
    OpenUrlCrossRef
  41. Dobbins, J. et al. Binding of the cytoplasmic domain of CD28 to the plasma membrane inhibits Lck recruitment and signaling. Sci Signal 9, ra75, doi:10.1126/scisignal.aaf0626 (2016).
    OpenUrlAbstract/FREE Full Text
  42. Filipp, D. et al. Lck-dependent Fyn activation requires C terminus-dependent targeting of kinase-active Lck to lipid rafts. J Biol Chem 283, 26409–26422, doi:10.1074/jbc.M710372200 (2008).
    OpenUrlAbstract/FREE Full Text
  43. ↵
    Kapoor-Kaushik, N. et al. Distinct Mechanisms Regulate Lck Spatial Organization in Activated T Cells. Front Immunol 7, 83, doi:10.3389/fimmu.2016.00083 (2016).
    OpenUrlCrossRef
  44. ↵
    Sheng, R. et al. Lipids Regulate Lck Protein Activity through Their Interactions with the Lck Src Homology 2 Domain. J Biol Chem 291, 17639–17650, doi:10.1074/jbc.M116.720284 (2016).
    OpenUrlAbstract/FREE Full Text
  45. ↵
    Gorfe, A. A., Lu, B., Yu, Z. & McCammon, J. A. Enzymatic activity versus structural dynamics: the case of acetylcholinesterase tetramer. Biophys J 97, 897–905, doi:10.1016/j.bpj.2009.05.033 (2009).
    OpenUrlCrossRefPubMed
  46. Merlino, A. et al. The importance of dynamic effects on the enzyme activity: X-ray structure and molecular dynamics of onconase mutants. J Biol Chem 280, 17953–17960, doi:10.1074/jbc.M501339200 (2005).
    OpenUrlAbstract/FREE Full Text
  47. ↵
    Hanson, J. A. et al. Illuminating the mechanistic roles of enzyme conformational dynamics. Proc Natl Acad Sci U S A 104, 18055–18060, doi:10.1073/pnas.0708600104 (2007).
    OpenUrlAbstract/FREE Full Text
  48. ↵
    Baumgart, F. et al. Varying label density allows artifact-free analysis of membrane-protein nanoclusters. Nat Methods 13, 661–664, doi:10.1038/nmeth.3897 (2016).
    OpenUrlCrossRef
  49. ↵
    Jordan, S. & Rodgers, W. T cell glycolipid-enriched membrane domains are constitutively assembled as membrane patches that translocate to immune synapses. J Immunol 171, 78–87 (2003).
    OpenUrlAbstract/FREE Full Text
  50. ↵
    Ventimiglia, L. N. & Alonso, M. A. The role of membrane rafts in Lck transport, regulation and signalling in T-cells. Biochem J 454, 169–179, doi:10.1042/BJ20130468 (2013).
    OpenUrlAbstract/FREE Full Text
  51. ↵
    Ilangumaran, S., Arni, S., van Echten-Deckert, G., Borisch, B. & Hoessli, D. C. Microdomain-dependent regulation of Lck and Fyn protein-tyrosine kinases in T lymphocyte plasma membranes. Mol Biol Cell 10, 891–905 (1999).
    OpenUrlAbstract/FREE Full Text
  52. ↵
    Filipp, D., Ballek, O. & Manning, J. Lck, Membrane Microdomains, and TCR Triggering Machinery: Defining the New Rules of Engagement. Front Immunol 3, 155, doi:10.3389/fimmu.2012.00155 (2012).
    OpenUrlCrossRefPubMed
  53. ↵
    Vallotton, P. & Olivier, S. Tri-track: free software for large-scale particle tracking. Microsc Microanal 19, 451–460, doi:10.1017/S1431927612014328 (2013).
    OpenUrlCrossRefPubMed
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Conformational states control Lck switching between free and confined diffusion modes in T cells
Geva Hilzenrat, Elvis Pandžić, Zhengmin Yang, Daniel J. Nieves, Jesse Goyette, Jérémie Rossy, Katharina Gaus
bioRxiv 446732; doi: https://doi.org/10.1101/446732
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Conformational states control Lck switching between free and confined diffusion modes in T cells
Geva Hilzenrat, Elvis Pandžić, Zhengmin Yang, Daniel J. Nieves, Jesse Goyette, Jérémie Rossy, Katharina Gaus
bioRxiv 446732; doi: https://doi.org/10.1101/446732

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