Author

Chaitanya R. Acharya

Multiple Myeloma Research FoundationORCID 0000-0001-7149-1749Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 4 Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1

Frequent Co-Authors

David AviganiD· 3 shared Denis J. OhlstromiD· 3 shared Dimitra KaragkouniiD· 3 shared Edgar Gonzalez‐KozlovaiD· 3 shared George MulliganiD· 3 shared Ioannis S. VlachosiD· 3 shared Katherine E. FergusoniD· 3 shared Manoj BhasiniD· 3 shared

Activity by Year

2016-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

David AviganORCID

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4 papers

Recent·Most cited

Cancer BiologybioRxivPreprintAug 11, 2026

Integrated coding-noncoding genome annotation expands single-cell transcriptomic discovery and identifies clinically relevant noncoding RNAs in multiple myeloma

Marina E. Michaud, Denis J. Ohlstrom, Mojtaba Bakhtiari…·Manoj Bhasin

The paper integrates coding and noncoding genome annotations to improve transcriptomic analysis, identifying clinically relevant noncoding RNAs in multiple myeloma.

DOI 10.64898/2026.08.09.743753

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsNature CancerPeer-reviewedJan 9, 2026

A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma

William Pilcher, Lijun Yao, Edgar Gonzalez‐Kozlova…·Manoj Bhasin

The paper characterizes immune microenvironment dysregulation in multiple myeloma using single-cell data and links it to disease progression and patient outcomes.

37 citationstop 1%

humanscRNA-seq

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Cancer BiologybioRxivPreprintMay 27, 2025

Longitudinal multi-omic profiling uncovers immune escape and predictors of response in multiple myeloma

Denis J. Ohlstrom, William Pilcher, Marina E. Michaud…·Manoj Bhasin

This study uses longitudinal multi-omic profiling to identify immune escape mechanisms and predictors of response in multiple myeloma.

2 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 8, 2016

Exploiting expression patterns across multiple gene isoforms to identify radiation response biomarkers in early-stage breast cancer patients.

Chaitanya R. Acharya, Kouros Owzar, Janet K. Horton, Andrew S. Allen

The paper introduces two statistical methods to identify radiation response biomarkers in early-stage breast cancer by analyzing gene isoform expression patterns.

DOI 10.1101/086322

humanbulk RNA-seq

𝕏 PostBluesky