Author

BV Harshavardhan

Indian Institute of Science Bangalore

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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Systems Biology· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:optimal transport· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Mohit Kumar JollyiD· 3 shared Anchita Gopikrishnan· 1 shared Atchuta Srinivas DudduiD· 1 shared Bree CumminsiD· 1 shared Elizabeth AndreasiD· 1 shared Franziska Michor AiD· 1 shared Geoffrey R. SchiebingeriD· 1 shared Herbert LevineiD· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersSystems Biology

Mohit Kumar JollyORCID

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Author profile →

3 papers

Recent·Most cited

Collective amoeboid dynamics drives colonization of drug-resistant ovarian cancer cells

Shyamili Goutham, Anchita Gopikrishnan, BV Harshavardhan, Nivedhya Venas, Radhakrishnan Sabarinathan, Mohit Kumar Jolly, Ramray Bhat

This study shows drug-resistant ovarian cancer cells exhibit collective amoeboid dynamics that enhance their ability to colonize and invade tissues.

bioRxiv · Oct 5, 2024 · PreprintCancer Biology

Multistability and predominant double-positive states in a four node mutually repressive network: a case study of Th1/Th2/Th17/T-reg differentiation

Atchuta Srinivas Duddu, Elizabeth Andreas, BV Harshavardhan, Kaushal Grover, Vivek Raj Singh, Kishore Hari, Siddharth Jhunjhunwala, Bree Cummins, Tomáš Gedeon, Mohit Kumar Jolly

The paper studies a four-node mutually repressive network, showing it allows for six stable double-positive states and applies this to explain Th1/Th2/Th17/Treg differentiation.

bioRxiv · Jan 30, 2024 · PreprintSystems Biology

Reconstruction of single cell lineage trajectories and identification of diversity in fates during the epithelial-to-mesenchymal transition

Yu-Chen Cheng, Yun Zhang, Shubham Tripathi, BV Harshavardhan, Mohit Kumar Jolly, Geoffrey R. Schiebinger, Herbert Levine, Thomas O. McDonald, Franziska Michor A

This study uses optimal transport analysis on scRNA-seq data to reconstruct EMT trajectories in MCF10A cells, identifying three distinct fates and novel genes associated with different EMT states.

bioRxiv · Sep 19, 2023 · PreprintSystems Biology