Abstract
Global population aging is one of the major social and economic challenges of contemporary society. During aging the progressive decline in physiological functions has serious consequences for all organs including brain. The age-related incidence of neurodegenerative diseases coincides with the sharp decline of the amount and functionality of adult neural stem cells. Recently, we identified a short list of brain age-regulated genes by means of next-generation sequencing. Among them znf367 codes for a transcription factor that represents a central node in gene coregulation networks during aging but its function, in the central nervous system (CNS), is completely unknown. As proof of concept we analyzed the role of znf367 during neurogenesis. By means of a gene loss of function approach limited to the CNS, we suggested that znf367 might act as a key controller of the neuroblasts cell cycle, particularly in the progression of mitosis and spindle check-point. Using a candidate gene approach, based on a weighted-gene co-expression network analysis, we suggested possible targets of znf367 such as fancd2 and ska3. The age-related decline of znf367 well correlated with its role during embryonic neurogenesis opening new lines of investigation to improved maintenance and even repair of neuronal function.
Introduction
The age-related incidence of many brain diseases coincides with a reduced adult neurogenic potential. The regenerative capability and the amount of adult neural stem cells (aNSCs) decline with age, contributing to the reduced functionality of the aged brain. Despite the great interest in age related diseases, the molecular factors responsible for age-dependent decay of aNSCs function and the transition between stemness and differentiating properties of these precursors are almost unknown. Recently, we identified a set of evolutionarily-conserved genes expressed in aNSCs and age-regulated by RNA-seq analysis in the short-lived fish Nothobranchius furzeri, a well-established animal model in aging studies. Among them, zinc finger protein 367 (znf367) was suggested to occupy a central position in a regulatory network controlling cell cycle progression and DNA replication. We found that znf367 is expressed in the adult brain of N. furzeri, where its RNA level decreases with age, and in neuroblasts and retinoblasts of developing Zebrafish embryos 1. Znf367 belongs to the Zinc finger (ZNF) transcription factors family that represents a large class of proteins that are encoded by 2 % of human genes 2, 3. Their functions included DNA recognition, RNA packaging, transcriptional activation, regulation of apoptosis, protein folding and assembly, and lipid binding. Zinc finger proteins have an evolutionarily conserved structure and the ones containing the Cys2-His2 motif constitute the largest family. The function of the majority of ZNF genes is largely unknown, but some of them play a critical role in the development and differentiation of the nervous system. For instance, the Kruppel-like zinc finger transcription factor Zic has multiple roles in the regulation of proliferation and differentiation of neural progenitors in the medial forebrain and cerebellum 4. The Ikaros family of transcription factors is characterized by two sets of highly conserved Cys2His2-type zinc finger motif and is involved in the maturation and differentiation of striatal medium spiny neurons 5. Znf367 gene (also known as ZFF29) has been initially isolated in human fetal liver erythroid cells. In the human genome, this gene is on chr 9q and two alterative mRNA splicing products, were identified and designated ZFF29a and ZFF29b. They both code for nuclear proteins, but only ZFF29b seems to act as an activator factor of erythroid gene promoters6. In Human SW13 adrenocortical carcinoma cell line, znf367 is overexpressed and in this cell line Znf367 downregulation caused an increase of cellular proliferation, invasion and migration7. Furthermore, znf367 was also identified as a potential tissue-specific biomarker correlated with breast cancer where its expression level is dysregulated influencing cell proliferation, differentiation and metastatic processes8. To our knowledge, there are no data available regarding the putative role of znf367 in the Central Nervous System (CNS) during embryonic and adult neurogenesis. In order to characterize the biological function of znf367 in vertebrates CNS, we analyzed its role during Xenopus laevis neurogenesis. The clawed frog Xenopus is the gold standard as animal model to perform functional screening of genes. In Xenopus, it is possible to microinject mRNAs or morpholino oligos in just one side of the early cleaving embryo and compare, in every single embryo, the manipulated side of the embryo with its wild-type counterpart that represent a perfect internal control. This model gave us also the unique possibility among vertebrates, to rapidly perform gene loss of function experiments in a tissue specific manner thanks to the well-defined fate map of each blastomere of the early cleaving embryo. This allowed us to target specific znf367 morpholinos to the central nervous system without interfering with the normal development of all other tissues. In this paper, we showed that znf367 is expressed in the developing CNS in Xenopus and it could have a key role in the primary neurogenesis regulating the neuroblast progression of mitosis. This aspect well correlates with its gene expression decline during CNS aging, suggesting that znf367 could represents a new key piece in the complex mosaic of developmental neurobiology and aging research.
Results
Evolutionary conservation and embryonic expression analysis of znf367
To verify the evolutionary conservation of znf367 sequence in vertebrates we performed an in silico analysis of the amino acid sequences of ZNF367 in Homo sapiens (both splicing variants: ZFF29a and ZFF29b), Nothobranchius furzeri and Xenopus laevis (both splicing variants: znf367a and znf367b). This approach revealed a high conservation of znf367 with a 66% of identity between the human and Xenopus aminoacidic sequence that reached the 98% at the level of the zinc finger domains (Fig 1) suggesting a conserved putative znf367 function in vertebrates, from fish to tetrapods and primates. To analyze the spatio-temporal gene expression pattern of znf367, whole mount in situ hybridization (WISH) was performed on xenopus embryos at different stages. Znf367 is expressed maternally in the animal pole in Xenopus embryos at blastula stage (Fig. 2A-B) when compared to sense control probe treated siblings (Fig. 2A). At neurula stage znf367 is expressed in the neural tube, in the eye fields, in the pre-placodal territory and in the neural crest cells (NCC) (Fig. 2C). At tadpole stage znf367 is widely expressed in the central nervous system, in the eye, in otic vesicle and in the NCC migrated in the branchial pouches (Fig. 2D). At larval stages of development, znf367 is still widely expressed in the CNS as showed in transverse sections (Fig. 2E-F)
Znf367 Knockdown inhibits neuronal differentiation in Xenopus laevis embryos
To investigate the znf367 function during neurogenesis in Xenopus, we performed knockdown experiment using a specific antisense oligonucleotide morpholino designed to block the translation of the endogenous mRNA (ZNF367-MO). For all the experiments here described, injections were performed unilaterally into one dorso-animal blastomere at four cells stage to target the neural tissue. The un-injected side served as internal control and the co-injection of 250 pg gfp RNA was used to screen the embryos correctly injected (Fig. 3A). The standard Gene Tools Control-morpholino (co-MO) was used to control for non-specific embryo responses. At neurula stage (st.18), when the neural tube is just closed, znf367 morphants showed a strong reduction of post-mitotic neurons expressing N-tubulin and elrC (also known as HuC) on the injected side of the embryos compared to the control side and the co-MO injected embryos (Fig. 3B-3E’). These data are confirmed also by qRT-PCR analysis that showed a significant reduction of both neuronal markers in znf367 morphants (Fig. 3F-G). Interestingly, the injection of ZNF367-MO did not affect the expression of ngnr1, a proneural marker necessary for the specification of primary neurons 19(n=53) (Fig. 3H-H’) suggesting a role of znf367 during neuronal differentiation but not in neuronal specification. The lack of differentiated primary neurons in znf367 morphants could be due to an increase in cell apoptosis during the differentiation process. To evaluate this aspect, we performed a TUNEL assay in znf367 morphants at neurula stage. TUNEL staining revealed not-significant increase in TUNEL positive cells between the znf367 injected side and the un-injected control side of each analyzed embryo (Fig. 3I).
Znf367 knockdown increases proliferation markers in Xenopus laevis embryos
To determine, whether the observed loss of post-mitotic neurons in znf367 morphants was the consequence of impairment in the maintenance of the neuronal progenitors pool, we examined the expression of the stemness genes sox2 and rx1, in the injected embryos. Sox2 and rx1 are involved in maintaining neuroblasts and retinoblasts as cycling precursors in the neural plate 20,21. The expression domains of sox2 and rx1 were expanded on the ZNF367-MO injected side of the embryo as compared to either the un-injected and Co-Mo injected sides (Fig. 4A-B). These data were confirmed also by qRT-PCR analysis that showed a significant increase of both mRNAs in znf367 morphants (Fig. 3B). On the base of these results we can suggest that the znf367 knockdown enhances self-renewal at the expenses of differentiation. For testing the specificity of the ZNF367-MO to induce this phenotype, we performed functional rescue experiments by co-injecting 9 ng ZNF367 MO together with 500 pg full-length Xenopus znf367 mRNA. We observed a restoration of the phenotype of the injected embryos visualized by the sox2 and elrc markers at neurula stage (Fig. 2O) (30% of rescue for sox2 n=114; 25% of rescue for elrc n= 100) (Fig. 4D). To further verify whether znf367 downregulation could alter the regulation of neuroblasts proliferation, we also examined the mRNA expression of pcna (proliferating cell nuclear antigen) and we directly counted mitotically active cells marked by antibody specific for phosphorylated H3 (p-H3). Znf367 morphants showed an increased pcna mRNA expression both in WISH (Fig. 4E-F) and qRT-PCR experiments (Fig. 4G). p-H3 staining showed a significant increase in mitotic cells number upon ZNF367-MO injection as compared to the control side (Fig. 4H-I). Given that a larger pool of neuroblasts did not correspond to an increased number of differentiated cells in the absence of apoptotic cell death, it is tempting to speculate that znf367 could be required to exit the M phase or in the control of the mitotic check point that precedes the anaphase. To test this hypothesis, we first evaluated the relative expression of cyclin B1 that is expressed predominantly during M phase of the cell cycle22, by qRT-PCR analysis of znf367 morphants. This experiment revealed a significant increase of cyclin B1 expression in znf367 morphants (Fig 4L) indicating again that znf367 deficient neuroblasts could enter in M phase but they could not correctly exit mitosis and differentiate. The differentiation of neuronal progenitors requires the withdrawal from the cell cycle, driven by cell cycle inhibitors such as pak3 (p21) and p27 23; 24. Coherently with the increase in mitotically active cells, a mild loss of p27 expression (phenotype 55%, n=93) was observed in neurula morphants indicating that znf367 depleted neuroblasts are unable to exit cell cycle (Fig. 4M-N). These data let us to hypothesize that znf367 could be involved in the cell cycle exit and/or for the initiation of maintenance of a differentiated state. Finally, we examined morphants at tailbud stage by performing WHIS using rx1 and elrD (also known as HuD). ElrD labeled post mitotic neurons in the neural tube and the developing cranial ganglia25. As stated above, znf367 knockdown, but not control MO, caused an increase in rx1 gene expression (phenotype 52%, n=72) (Fig. 4O) while inhibited neuronal differentiation affecting the expression of elrD (phenotype 54% n=64) (Fig. 4P). These data showed that the effects of ZNF367 depletion are not recovered even in the late phases of primary neurogenesis.
Identification of putative Znf367 targets: a candidate gene approach
Our previous results suggested that znf367 could represent a hub in the control of gene expression in the N. furzeri brain. In order to test the conservation of this co-regulation across species, we analyzed CORTECON18 a public dataset of RNA-seq during cortical differentiation of human embryonic stem cells (hESCs) using weighted-gene co-expression network analysis (WGCNA)17. WGCNA constructs co-expression networks based on topological criteria, it was shown to be more robust than simple correlation and it has become the method of choice for gene expression studies in the nervous system. We therefore tested the conservation of gene co-expression networks between N. furzeri brain and human neuronal differentiation in vitro. We identified a conserved module that contains znf367 (Fig. 5). Then, we tested whether znf367 can be considered a hub in both species by computing its connectivity. Znf367 was among the top connected genes in the gene module in both species (98% percentile in N. furzeri and 92% percentile in human cells). Gene Ontology overrepresentation analysis revealed that cell-cycle related terms are highly overrepresented in this module. It should be also noted that all these genes have high expression in the hESCs, they are down-regulated during early differentiation and show a peak of expression around 12 days of differentiation in vitro that correspond to the period of cortical specification18. Among the genes that showed the highest topological overlap, we particularly noted an enrichment in genes known to be involved in the progression of mitosis and in the mitotic spindle check point (Fig.5B). This corroborate the idea that znf367 had a role in the control of cell cycle and it could be preeminent in mitosis, when the diving cell has the fundamental task to correctly arrange the genetic content in the two daughter cells. To verify our hypothesis, we decided to test by qRT-PCR the expression of three of the closest genes to znf367 showed in the network (Fig. 6). We analyzed the expression level of smc2, ska3 and fancd2 in znf367 morphants. Smc2 gene codes for one of the condensin part of the Structural Maintenance of Chromosomes (SMC) protein complexes, which play key roles in the regulation of higher-order chromosome organization and its role is crucial in the chromatin compaction in the prophase 26. Ska3 is one of the spindle and kinetochore-associated (Ska) proteins required for accurate chromosome segregation during mitosis. During mitosis the cyclin-dependent kinase Cdk1 phosphorylates Ska3 to promote its direct binding to the Ndc80 complex, (also present in the Znf367 network). This event is required for the overcoming of spindle checkpoint and the beginning of anaphase 27, 28. Fancd2 encodes for a nuclear effector protein that is monoubiquitinated in response to DNA damage, targeting it to nuclear foci where it preserves chromosomal integrity. Mutations in the Fanc family are causative of the Fanconi Anemia in humans. Greater than 60% of Fanconi anemia patients have developmental defects, such as growth retardation, short stature, microcephaly, and microphthalmia at birth, in addition to a highly elevated risk of bone marrow failure in the first decade of life. This gene draws our attention as its knock down in zebrafish embryos induced microcephaly, microphthalmia and pericardial edema 29. It has been demonstrated that this factor is crucial for the S-phase rescue of damaged DNA but also for the safeguarding of chromosome stability during mitosis30,31. The results obtained in three independent experiments, showed a significant increase in fancd2 and ska3 gene expression in znf367 morphants. The smc2 gene expression level followed the same trend without a statistical significance. These results seem to suggest that znf367 could have a major role in the control of chromosome stability and the functionality of the spindle check point. The loss of znf367 gene function could alter the strict control on the cell cycle progression during metaphase causing the expansion of the neuroblasts and retinoblasts territories and the increase of mitotic cell numbers observed in znf367 morphants. It is also interesting to note that in human tumor cells the overexpression of FANCD2 and SKA3 are correlated with cancer cell proliferation maintenance and malignant transformation32,33. On the basis of our results it is also possible to hypothesize that znf367 could act, in the control of the cell cycle, as a transcriptional repressor to allow the progression between metaphase and anaphase and the subsequent cell cycle exit and neuronal differentiation.
Discussion
Aging is an inevitable and extremely complex, multifactorial process. It is characterised by the progressive physiological decline of organs and tissues linked to a reduction of their regenerative capabilities and the progressive exhaustion of adult neural stem cells. Interventions designed to target the underlying mechanisms of aging are expected to provide great benefit to human health and quality of life for elderly people. To provide a contribution to the field, we identified a short list of brain age-regulated genes of possible regulatory function, specifically associated with aNSCs in N.furzeri, an innovative animal model system in aging studies, by means of next-generation sequencing (NGS). These potential neurogenic regulators are down-regulated with age in an evolutionarily conserved manner and are also expressed in at least one neurogenic region of the zebrafish embryo. Among them, we found the zinc finger protein znf367 to be particularly intriguing. Network analysis identified znf367 as a central node in gene co-regulation networks controlling cell cycle progression and DNA replication1. However, nothing is known about its role in the vertebrate nervous system. Our first aim was to provide an in vivo validation of the potential role of znf367 during neurogenesis. We choose Xenopus laevis as a model system for the possibility to directly modulate the znf367 expression in the CNS without affecting other tissues and to unveil its role in tetrapods. Znf367 is expressed in the neural tissue of the early Xenopus laevis embryo including the eye field and in the neural crest cells. The spatial expression pattern suggested a role in the context of primary neurogenesis. This was further supported by the marked loss of post mitotic neurons upon knockdown of znf367, suggesting that znf367 could be essential for neuronal differentiation. In Xenopus znf367 morphants, we did not observe an increase in apoptosis rate suggesting that the loss of post-mitotic neurons was not due to unspecific morpholino toxicity or to a specific triggering of apoptotic pathways. Indeed, we found that the loss of znf367 function led to an increased expression of genes involved in the maintenance of neuroblasts and retinoblasts as proliferating precursors. Accordingly, we observed a significant increase in the number mitotic cells in znf367 morphants. The intricate balance between proliferation and differentiation is of fundamental importance in development of the central nervous system. At early developmental stages, a period of extensive proliferation is needed to generate the required number of progenitor cells for correct tissue and organ formation, accompanied or closely followed by differentiation. After the closure of the neural tube, the epithelial lining of the ventricles become specialized, consisting of a single sheet of progenitor cells (neuroepithelial cells). These cells undergo symmetrical cell divisions during the proliferative period to self-renew and expand the pool of progenitors 34. The subsequent transition from a proliferative neural precursor cell to a post-mitotic neurons is a highly regulated step, which, in many instances, has been shown to involve a cascade of transcription factors that is triggered by pro-neural genes35. Differentiation of neural progenitor cells requires withdrawal from the cell cycle, which is regulated by the expression of cell cycle inhibitors such as p27 in Xenopus24. Consistent with the increase in mitotically active cells, a reduced p27 expression was observed in znf367 morphants, thus raising the possibility that the neural progenitors are prevented from undergoing differentiation because they are not able to exit the cell cycle, remaining in an undifferentiated state. Znf367 morphants also expressed high levels of cyclin B1, which is required to drive cells into mitotic division but that must be degraded to allow the anaphase. Again, this datum corroborates our hypothesis that znf367 deficient neuroblasts could enter in M phase, but they could not correctly exit mitosis and differentiate. Given the requirement of znf367 for both proliferation and neuronal differentiation of neuroectodermal cells, it is plausible that znf367 could be required to exit the M phase or in the control of the spindle check point that precedes the anaphase. To have a wider view on the molecular mechanisms potentially regulated by znf367, we performed a correlation-based network analysis testing the conservation of gene co-expression networks between N. furzeri brain and human neuronal differentiation in vitro, identifying a conserved module that contains znf367. We noted enrichment in genes involved in the regulation of the cell cycle and specifically in the progression of mitosis and mitotic spindle check point. The involvement of znf367 in the control of cell cycle is supported by functional studies that demonstrated its implication in regulating different aspects of cancer progression7. Some of the genes, correlated to znf367 in our correlation analysis are, in fact, both implicated in CNS development as well as in cancer initiation and/or progression. Among these, we decided to closely analyze the relation between znf367 and smc2, ska3 and fancd2. Smc2 is part of the condensing complex required for the structural and functional organization of chromosomes36. Its role is crucial in the chromatin compaction in the prophase 26. In our functional study the loss of znf367 seemed to interfere with smc2 mRNA level but even if smc2 mRNA seemed to be more abundant in znf367 morphants in respect to controls, the results are suggestive of a trend but not statistically significant. Fancd2 is essential during zebrafish CNS development to prevent neural cell apoptosis during neuroblasts proliferative expansion29. Fancd2, when mutated, is one of the causative gene of Fanconi anemia, an inherited disorder characterized by developmental defects, progressive bone marrow failure, and predisposition to cancer. In particular, fancd2, in postnatal and adult life is required for the functional maintenance of the hematopoietic stem cells pool37. The link between znf367 and fancd2 seems therefore particularly intriguing since the znf367 function seemed to be required to repress fancd2 expression and allow cells to inactivate the spindle checkpoint and proceed towards differentiation. The level of fancd2 mRNA is, in fact, significantly up regulated in znf367 morphants. It is tempting to speculate that during primary neurogenesis in Xenopus znf367 could regulate fancd2 expression level in order to define the pool of neuroblasts and coordinate the cell cycle exit necessary for the post-mitotic differentiation. Ska3 is one of the spindle assembly checkpoint proteins. SKA3 is strongly associated to the kinetochores during prometaphase and metaphase while diminished its concentration during anaphase and it was lost telophase 27. Its major role is to contribute to the silencing of spindle checkpoint during metaphase and to the maintenance of chromosome cohesion in mitosis 27. In our znf367 morphants, ska3 is upregulated supporting the idea that znf367 could play a key role in the control of mitosis and in particular during metaphase. As ska3 has to be downregulate to allow the progression towards anaphase and telophase, the loss function of znf367 could maintain abnormal high level of ska3 keeping cells blocked in mitosis (metaphase). This analysis provided us a deeper view of the possible action of znf367 during neurogenesis. Functional analysis on znf367 morphants clearly pointed to a role of znf367 in the control of the cell cycle and in the formation/maintenance of the neuroblasts pool. The loss of znf367 caused a differentiation failure keeping an enlarged number of neuroblasts in mitosis. In this condition, neuroblasts did not activate an apoptotic pathway that can be prevented when fancd2 is present29. The gene network analysis also suggested a possible function of znf367 in the regulation of the spindle checkpoint during the metaphase acting on the expression level of ska3.
In conclusion, we unveiled a role for znf367 during neurogenesis in vertebrates. In particular, znf367 emerged as a key controller of the neuroblasts cell cycle and it seemed to act regulating the events that are strictly controlled during the metaphase to allow the progression of the cell cycle and the onset of anaphase. The observed age-related regulation of znf367 well correlated with its role during embryonic neurogenesis giving a proof of concept of the continuity of molecular control in developing and adult neurogenesis. It will be of interest for future studies to identify both the upstream regulators and the downstream effectors of znf367. This is important not only due to the requirement of znf367 during X. laevis neurogenesis but more generally for the identification of the molecular factors that allow better monitoring of stem cell renewal and differentiation. Our findings could represent the first step in defining new strategies to increase adult neurogenesis, leading to improved maintenance and even repair of neuronal function.
Methods
Synteny analysis of znf367
Synteny analysis was performed using the NCBI GeneBank for the following organisms: Xenopus laevis znf367a (NP_001085362.1); Xenopus laevis znf367b (XP_018114684 PREDICTED); Homo sapiens ZFF29A (AY554164.1) and Homo sapiens ZFF29b (AY554165.1); Nothobranchius furzeri (HADY01011608.1).
Embryo preparation
Animal handling and care were performed in strict compliance with protocols approved by Italian Ministry of Public Health and of the local Ethical Committee of University of Pisa (authorization n.99/2012-A, 19.04.2012). Xenopus laevis embryos were obtained by hormone-induced laying and in vitro fertilization then reared in 0.1 X Marc’s Modified Ringer’s Solution (MMR 1×: 0.1 M NaCl, 2 mM KCl, 1 mM MgCl2, 5 mM HEPES pH 7.5) till the desired stage according to Nieuwkoop and Faber9.
Morpholino oligonucleotides, cloning and microinjections
ZNF367 antisense Morpholino oligonucleotides (MO) and a standard Control MO were provided by Gene Tools, Philomath, OR, USA. ZNF367 MO sequence:5’-CAGCCTATCTGACATTTGTTACTAC-3’. Co MO sequence: 5’-CCTCTTACCTCAGTTACAATTTATA-3’. Microinjections were performed as described previously 10. Injected MO amounts were: 9 ng ZNF367 MO and 9 ng Control MO. Correct injections were verified by co-injected of 250 pg of GFP mRNA and using a fluorescence microscope. The un-injected side represents an internal control in each embryo. For functional rescue experiments, the open reading frame of X. laevis znf367 (XM_018259195.1 PREDICTED) was cloned into the pCS2+. For Rescue experiments, 9 ng ZNF367 MO and 500 pg full-length znf367 mRNA were co-injected. Capped znf367 mRNA was obtained using the MegaScript in vitro transcription kit (Ambion), according to manufacturer’s instructions.
In situ hybridization (ISH) experiments
Whole mount in situ hybridization (WISH) approaches was performed as described 11. BM purple (Roche) was used as a substrate for the alkaline phosphatase; digoxigenin-11-UTP-labelled sense and antisense RNA probes were generated via in vitro transcription. After color development embryos were post-fixed and bleached over light to remove the pigment. For ISH on cryosections (12 µm), embryos were fixed in 4% paraformaldehyde (PFA) in PBS, cryoprotected with 30% sucrose in PBS and embedded in Tissue-Tek O.C.T. compound (Sakura, 4583). ISH on cryosections was performed as described 11. The following plasmids were used for preparation of antisense RNA probes, enzyme used for linearization and polymerases are indicated: X. laevis Znf367 EST clone image (ID_6637026) was cloned in pBKS-(XhoI, T7); Pcna-pBSK (SalI,T7); sox2-pCS2+ (EcoR1,T7); N-tubulin-pBKS(NotI,T3); elrC-pBKS (NOTI,T7); elrD-pBSK (XhoI,T3); rx1 12. nrg1-pBKS (BamHI, T3); p27-Pbsk (BamHI, T7). Digoxigenin labelled sense RNA probe was generated for znf367-pBKS- (SacI; T3).
TUNEL and PH3 staining in Xenopus
TUNEL (TdT-mediated dUTP-dig nick end labeling) and PH3 (phosho histone 3) staining was performed at neurula stage according to established protocols 13,10. TUNEL and PH3 positive cells were counted within defined areas in control and injected side of each manipulated embryo.
Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR)
Total RNA was extracted from 15 Xenopus morphants using Nucleospin® RNA (Macherey-Nagel) according to the manufacturer’s instruction. cDNA was prepared by using iScript™ cDNA Synthesis Kit (Bio-Rad) and quantitative real-time PCR was performed using GoTaq®qPCR master mix (Promega) according to the manufacturer’s instruction. Relative expression levels of each gene were calculated using the 2−ΔΔCt method 14 and normalized to glyceraldehyde 3-phosphate dehydrogenase (GAPDH). The following primers were used to perform qRT-PCR: pcna 15; N-tubulin and sox2 (De Robertis’s lab, web site: http://www.hhmi.ucla.edu/derobertis/); elrC 16; cby1 (Forward: 5’-TGAAGCGGTTCCAGTTGTCG-3’; Reverse: 5’-TTGGTGGCAACAACCCTCTT-3’); ska3 (Forward: 5’-ACCGGAACTTTCCTACAGGC-3’; Reverse: 5’-ATTTCTGGGCGTGTTGGTGT-3’); fancd2 (Forward: 5’-CCCTACACTCACCAGGCAAAC-3’; Reverse: 5’-AGCGTTTCAGCTTTCTTGCTATT-3’); scm2 (Forward: 5’-GCTGAAAGAGAGAAGAAACGCAAA; Reverse: 5’-CTTGCAGAGAGCTCAGACCATC-3’); rx1 (Forward: 5’-GAGGAACCGGACAACATTCAC-3’; Reverse: 5’-TCATAGCCAGCTCTTZCTCTGC-3’); gapdh (Forward: 5’-CTTTGATGCTGATGCTGGA-3’; Reverse: 5’-GAAGAGGGGTTGACAGGTGA-3’).
WGCNA (Weighted Gene Co-expression Network Analysis)
Network analysis was performed using WGCNA method17. Samples used for the workflow were derived from two independent datasets, one from Nothobranchius furzeri’s brain, comprehensive of two strains (MZM-04010 and GRZ), six different time points and five replicates per time point 1 and the other one from human embryonic stem cells. In particular the second one was obtained from a cerebro-cortical developmental experiment performed on hESC with 9 different time points 18.
Network analysis was performed through different steps:
– Setting of the soft threshold, coefficient necessary for the adjacency matrix construction, as shown in the formula:
– Adjacency matrix and TOM (Topological Overlap Matrix), defined as:
– Hierarchical clustering and modules detection after measuring the module eigengenes; every module is characterized by a color (as the module which has been studied for the analysis, defined by the turquoise color)
Module-trait relationship table construction, as correlation between single gene expression and external trait (in this case aging/development)
– Module membership plot (as correlation between single gene expression and module eigengene): this was done for both the N. furzeri and the H. sapiens datasets, as described in Figure 5A
– Visualization with Cytoscape software.
Network construction was done in two independent analyses: the first one only on Nothobranchius furzeri dataset, the second one using a consensus network obtained matching the two datasets. As soft threshold we chose β=6 for both the analyses to obtain the correspondent adiacency matrix and TOM, and significant modules negatively correlated with N. furzeri brain aging were selected. The genes contained in the selected modules were then tested for GO analysis using WebGestalt software, and then visualized using Cytoscape. Finally, the overall module membership of the genes contained in the “turquoise” module (as specified above, and only for the second analysis) was plotted on the ranked genes for both the killifish and the human data. Network analysis was performed using WGCNA method 17. Samples used for the workflow were derived from two independent datasets, one from Nothobranchius furzeri’s brain, comprehensive of two strains (MZM-04010 and GRZ), six different time points and five replicates per time point1 and the other one from human embryonic stem cells. In particular the second one was obtained from a cerebro-cortical developmental experiment performed on hESC with 9 different time points 18.
Author Contribution Statement
V. Naef, S. Monticelli, D. Corsinovi performed all the Xenopus experiments. M.T. Mazzetto and A. Cellerino performed WGCNA (Weighted Gene Co-expression Network Analysis), contributed in the manuscript discussion and writing. M. Ori contributed in conceptualization, provided necessary financial resources, experimental supervision, data analysis and discussion, writing.
Acknowledgments
We thank Guglielma De Matienzo and Dr. Elena Landi for technical support. This work was supported by funding from University of Pisa (Michela Ori).