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Thiagarajan, V.

Publications and source records attributed to Thiagarajan, V..

3 recordsLinked to original sources

Actin polymerization and crosslinking drive left-right asymmetry in single cell and cell collectives

Deviations from mirror symmetry in the development of bilateral organisms are highly stereotypic and genetically predetermined, but their mechanisms are not sufficiently understood. At the cellular level, self-organization of the actin cytoskeleton results in chiral actin swirling, and cells in groups confined to micropatterns demonstrate chiral cell alignment. The relationship between individual and collective cell chirality is unclear, and molecular players involved remain essentially unidentified. Here, by screening major actin-associated proteins and deep-learning-based morphometric analysis of actin patterns, we found that knockdowns of specific actin polymerization regulators, such as mDia1, ARPC2, and cofilins 1&2, abolished chiral actin swirling, while depletion of profilin 1 and CapZ{beta}, reversed its direction in an actin crosslinker -actinin1-dependent manner. Analysis of these and other knockdowns and pharmacological treatments revealed a robust correlation between their effects on the chirality of individual cells and confined cell groups. Thus, actin-driven cell chirality may underlie tissue and organ asymmetry. One Sentence SummaryCell chirality determined by specific regulators of actin polymerization drives left-right asymmetry emergence in cell groups

cell biology↗

A literature-derived knowledge graph augments the interpretation of single cell RNA-seq datasets

Technology to generate single cell RNA-sequencing (scRNA-seq) datasets and tools to annotate them have rapidly advanced in the past several years. Such tools generally rely on existing transcriptomic datasets or curated databases of cell type defining genes, while the application of scalable natural language processing (NLP) methods to enhance analysis workflows has not been adequately explored. Here we deployed an NLP framework to objectively quantify associations between a comprehensive set of over 20,000 human protein-coding genes and over 500 cell type terms across over 26 million biomedical documents. The resultant gene-cell type associations (GCAs) are significantly stronger between a curated set of matched cell type-marker pairs than the complementary set of mismatched pairs (Mann Whitney p < 6.15x10-76, r = 0.24; cohens D = 2.6). Building on this, we developed an augmented annotation algorithm that leverages GCAs to categorize cell clusters identified in scRNA-seq datasets, and we tested its ability to predict the cellular identity of 185 clusters in 13 datasets from human blood, pancreas, lung, liver, kidney, retina, and placenta. With the optimized settings, the true cellular identity matched the top prediction in 66% of tested clusters and was present among the top five predictions for 94% of clusters. Further, contextualization of differential expression analyses with these GCAs highlights poorly characterized markers of established cell types, such as CLIC6 and DNASE1L3 in retinal pigment epithelial cells and endothelial cells, respectively. Taken together, this study illustrates for the first time how the systematic application of a literature derived knowledge graph can expedite and enhance the annotation and interpretation of scRNA-seq data.

genomics↗

Microtubule regulation of integrin-based adhesions is mediated by myosin-IIA

The interrelationship between microtubules and the actin cytoskeleton in mechanoregulation of integrin-mediated adhesions is poorly understood. Here, we show that the effects of microtubules on two major types of cell-matrix adhesions, focal adhesions and podosomes, are mediated by KANK family proteins connecting the adhesion protein talin with microtubule tips. Both total microtubule disruption and microtubule uncoupling from adhesions by manipulations with KANKs trigger a massive assembly of myosin-IIA filaments. Myosin-IIA filaments, augmenting the focal adhesions and disrupting the podosomes, are indispensable effectors in the microtubule-dependent regulation of integrin-mediated adhesions. Myosin-IIA filament assembly depends on Rho activation by the RhoGEF, GEF-H1, which is trapped by microtubules when they are connected with integrin-mediated adhesions via KANK proteins but released after their disconnection. Thus, microtubule capturing by integrin-mediated adhesions modulates the GEF-H1-dependent effect of microtubules on the myosin-IIA filaments. Subsequent actomyosin reorganization then remodels the focal adhesions and podosomes, closing the regulatory loop.

cell biology↗