Author

A. Luthra

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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Cancer Biology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1

Frequent Co-Authors

K. Ganesh· 2 shared A. Boire· 1 shared A. Cercek· 1 shared A. G. Clark· 1 shared A. L. Ho· 1 shared A. Mahmoud· 1 shared A. Moorman· 1 shared A. N. Shoushtari· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

K. Ganesh

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Author profile →

3 papers

Recent·Most cited

Progressive plasticity during colorectal cancer metastasis

A. Moorman, F. Cambuli, E. Benitez, Q. Jiang, Y. Xie, A. Mahmoud, M. Lumish, S. Hartner, S. Balkaran, J. Bermeo, S. Asawa, C. Firat, A. Saxena, A. Luthra, V. Sgambati, , K. Ganesh

This study identifies progressive plasticity in colorectal cancer metastases, showing reprogramming into fetal progenitor states and divergent differentiation, linked to poor survival.

bioRxiv · Aug 18, 2023Cancer Biology

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

B. Nguyen, C. Fong, A. Luthra, S. A. Smith, R. G. DiNatale, S. Nandakumar, H. Walch, W. K. Chatila, R. Madupuri, R. Kundra, C. M. Bielski, B. Mastrogiacomo, A. Boire, S. Chandarlapaty, K. Ganesh, , Varghes

The paper analyzes genomic data from 25,000 patients to identify associations between genomic alterations and metastatic patterns across 50 tumor types, finding chromosomal instability correlates with metastatic burden in some cancers.

bioRxiv · Jun 28, 2021Cancer Biology

Maximum likelihood estimation of fitness components in experimental evolution

J. Liu, J. Champer, C. Liu, J. Chung, R. Reeves, A. Luthra, Y. L. Lee, A. G. Clark, P. W. Messer

The paper develops a maximum likelihood framework to estimate fitness components in experimental evolution using Drosophila melanogaster data, finding reduced mating preference and viability for a yellow allele.

bioRxiv · Jun 14, 2018Evolutionary Biology