Author

Keerthana Elango

Elements Biosciences (United States)

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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Genomics· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:imaging· 1

Frequent Co-Authors

Daniel J. HonigfortiD· 3 shared Mariam Dawood· 3 shared Matthew William Kellinger· 3 shared Ramreddy Tippana· 3 shared Semyon KruglyakiD· 3 shared Sinan ArslaniD· 3 shared Tyler Lopez· 3 shared Vivian T. DieniD· 3 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Daniel J. HonigfortORCID

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3 papers

Recent·Most cited

Unraveling Tyrosine-Kinase Inhibitor Resistance in NSCLC Cells via Same-cell Measurement of RNA, Protein, and Morphological Responses

Vivian T. Dien, Connor Thompson, Tristin Rammel, Jaime Roquero, Marielle Krivit, Grace Yeo, Daniel J. Honigfort, Pazinah Bhadha, Colin Brown-Greaves, Mariam Dawood, Keerthana Elango, Hyukjin Kwon, Tyler Lopez, Alvin T. Lo, Meghna Manjunath, , Molly Min He

The paper measures RNA, protein, and morphology in NSCLC cells treated with TKIs to identify resistance mechanisms and show that CDK4/6 inhibition enhances TKI efficacy.

bioRxiv · May 6, 2025 · PreprintGenomics

High-Throughput Multiomics Profiling of Model Systems Using the AVITI24 Platform

Tyler Lopez, Daniel J. Honigfort, Adeline Mah, Connor Thompson, Vivian T. Dien, Mariam Dawood, Eva Frankel, Derek Fuller, Claudia Jamison, Ryan Kelley, Jean Kwon, Yu Liu, Pin Ren, Sanchari Saha, Haosen Wang, , Sinan Arslan

The paper introduces a multiomics platform for high-throughput analysis of cellular responses, demonstrating its ability to capture dynamic cellular processes and drug responses in cancer cells.

bioRxiv · May 3, 2025 · PreprintGenomics

Sequencing by avidity enables high accuracy with low reagent consumption

Sinan Arslan, Francisco J. Garcia, Minghao Guo, Matthew William Kellinger, Semyon Kruglyak, Jake A. LeVieux, Adeline Mah, Haosen Wang, Junhua Zhao, Chunhong Zhou, Andrew Altomare, John Bailey, Matthew B. Byrne, Chiting Chang, Steve X. Chen, , Jordan M. Neysmith

This paper introduces avidity sequencing, a new chemistry that improves sequencing accuracy and reduces reagent use, enabling applications like single-cell RNA-seq and whole-genome sequencing.

Nature Biotechnology · May 25, 2023Peer-reviewedGenomics