Author

A. Srinivasan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 2 Animal Behavior & Cognition· 1 Biochemistry· 1 Cancer Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell-cell communication· 1 Assay:clinical cohort / trial· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1

Frequent Co-Authors

A. Moongilpatti Angappa· 1 shared A. Nelson· 1 shared A. P. Arora· 1 shared A. Singh· 1 shared C. Brackett· 1 shared D. B. Ravi· 1 shared D. Washington· 1 shared H. Sussman· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBiochemistry

A. Moongilpatti Angappa

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6 papers

Recent·Most cited

Identifying Intermolecular Interactions in Single-Molecule Localization Microscopy

X. Yan, P. Y. Yu, A. Srinivasan, S. Abdul Rehman, M. B. Prigozhin

This paper develops a probabilistic algorithm to accurately identify and quantify intermolecular interactions using single-molecule localization microscopy.

bioRxiv · May 10, 2024Biophysics

Stochastic Voronoi Tessellations as Models for Cellular Neighborhoods in Simple Multicellular Organisms

A. Srinivasan, S. S. M. H. Hohn, R. E. Goldstein

The paper models cellular neighborhood volumes in Volvox using stochastic Voronoi tessellations and shows they follow gamma distributions due to intrinsic biological noise.

bioRxiv · Mar 11, 2024 · PreprintBiophysics

Development of a mobile, high-throughput, and low-cost image-based plant growth phenotyping system

L. Yu, H. Sussman, O. Khmelnitsky, M. R. Ishka, A. Srinivasan, A. Nelson, M. M. Julkowska

The paper develops a low-cost image-based phenotyping system for plant growth and validates it using a cowpea diversity panel to identify drought resilience loci.

bioRxiv · Jul 18, 2023Plant Biology

Robust eIF4B levels undermine invasive growth and immune evasion mechanisms in murine triple negative breast cancer models.

R. Smith, L. Z. D. Z. D. Diba, A. Srinivasan, R. A. Zollo, T. Ossevoort, Q. He, S. H. Colligan, M. Dolan, Y. Vedire, T. Sultana, M. Venkatesh, A. P. Arora, S. Gawlak, D. Washington, C. Brackett, , S. E. Walker

This study shows that higher eIF4B levels in murine triple negative breast cancer models are linked to less aggressive tumor growth and better patient outcomes.

bioRxiv · Sep 16, 2022 · PreprintCancer Biology

Hippocampal and Medial Prefrontal Cortical Maps Represent Episodes and Rules in a Common Task Space

A. Srinivasan, J. Riceberg, M. Goodman, A. Srinivasan, K. Guise, M. Shapiro

The paper shows that hippocampal and medial prefrontal cortical activity form similar low-dimensional task-specific representations in rats during spatial memory tasks.

bioRxiv · Jul 17, 2022 · PreprintAnimal Behavior & Cognition

Cholesterol Myth and the Imperative Role of Functional Evaluation of Lipoproteins in Atherosclerotic Risk Prediction Strategies

D. B. Ravi, A. Srinivasan, P. Velusamy, K. K. S Narasimhan, L. N. Chakrapani, A. Singh, T. Mohan, K. Thiruvengadam, A. Moongilpatti Angappa, K. Periandavan

The paper compares traditional and functional lipoprotein markers to predict atherosclerotic risk in diabetic and cardiovascular patients.

bioRxiv · Feb 28, 2019 · PreprintBiochemistry