Gene regulatory networks (GRNs) model causal linkages that control cell fate decisions and differentiation transitions. Prioritizing regulatory subnetworks underlying cell state differences is of critical importance, but current methods including those reliant on topological metrics introduce circularity as the metrics...
Z. H. Rarani, S. Keshari, A. Sachan et al.· bioRxiv· 0 citations
Single-cell RNA sequencing reveals how cells vary across states, but these measurements capture only static snapshots of dynamic biological processes. RNA velocity addresses this limitation by estimating how gene expression is changing over time, providing directional information about cell state transitions. However,...
Jing-Yuan Hu, Harinder Singh, Jishnu Das et al.· bioRxiv· 0 citations
A generalizable framework for assembling and testing GRNs in the context of immune cell fate decisions is established, and previously unreported feedback loops that link cell division to fate specification are revealed.
Nicholas A. Pease, Jing-Yu Fan, S. Keshari et al.· Journal of Immunology· 0 citations
Findings establish malignant differentiation state as a causal determinant of immune architecture across GC-derived lymphomas and identify lineage-directed immune reprogramming as a potential therapeutic strategy.
P. Mondello, A. Sadekova, ksenia fede et al.· Research Square· 0 citations
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