Systems Biology

Drug-tolerant idling melanoma cells exhibit theory-predicted metabolic low-low phenotype
Dongya Jia, Bishal Paudel, Corey E Hayford, Keisha Hardeman, Herbert Levine, Jose N Onuchic, Vito Quaranta

bioRxiv 809889; doi: https://doi.org/10.1101/809889 New Results

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Weakly-Supervised Prediction of Cell Migration Modes in Confocal Microscopy Images Using Bayesian Deep Learning
Anindya Gupta, Veronica Larsson, Damian Matuszewski, Staffan Strömblad, Carolina Wählby

bioRxiv 810473; doi: https://doi.org/10.1101/810473 New Results

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Mother machine image analysis with MM3
John T. Sauls, Jeremy W. Schroeder, Steven D. Brown, Guillaume Le Treut, Fangwei Si, Dongyang Li, Jue D. Wang, Suckjoon Jun

bioRxiv 810036; doi: https://doi.org/10.1101/810036 New Results

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3’-5’ crosstalk contributes to transcriptional bursting
Massimo Cavallaro, Mark D. Walsh, Matt Jones, James Teahan, Simone Tiberi, Bärbel Finkenstädt, Daniel Hebenstreit

bioRxiv 514174; doi: https://doi.org/10.1101/514174 New Results

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Protein Interactome of the Cancerous Inhibitor of Protein Phosphatase 2A (CIP2A) in Th17 Cells
Mohd Moin Khan, Tommi Välikangas, Meraj Hasan Khan, Robert Moulder, Ubaid Ullah, Santosh Dilip Bhosale, Elina Komsi, Umar Butt, Xi Qiao, Jukka Westermarck, Laura L Elo, Riitta Lahesmaa

bioRxiv 809459; doi: https://doi.org/10.1101/809459 New Results

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Inferring the structures of signaling motifs from paired dynamic traces of single cells
R. A. Haggerty, Jeremy E. Purvis

bioRxiv 809434; doi: https://doi.org/10.1101/809434 New Results

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Pathological circadian rhythm states driven by CK2 and noise
Z. Malik, Y. Fatima, J. Alam, R. Singh

bioRxiv 809632; doi: https://doi.org/10.1101/809632 New Results

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Data-Driven Analysis of a Mechanistic Model of CAR T Cell Signaling Predicts Effects of Cell-to-cell Heterogeneity
Colin G. Cess, Stacey D. Finley

bioRxiv 808626; doi: https://doi.org/10.1101/808626 New Results

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Nickel induced transcriptional changes persist post exposure through epigenetic reprograming
Cynthia C Jose, Zhenjia Wang, Vinay Singh Tanwar, Xiaoru Zhang, Chongzhi Zang, Suresh Cuddapah

bioRxiv 806588; doi: https://doi.org/10.1101/806588 New Results

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KOPTIC: A novel approach for in silico prediction of enzyme kinetics and regulation
Wheaton L. Schroeder, Rajib Saha

bioRxiv 807628; doi: https://doi.org/10.1101/807628 New Results

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Systems Biology

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