Author

Ajay K. Nooka

Emory UniversityORCID 0000-0003-4165-6869Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 4 Organism:human· 4 Research Focus:cell type annotation· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Assay:whole-genome sequencing· 2 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Sagar LonialiD· 4 shared Denis J. OhlstromiD· 3 shared Katherine E. FergusoniD· 3 shared Manoj BhasiniD· 3 shared Marina E. MichaudiD· 3 shared Sarthak SatpathyiD· 3 shared William PilcheriD· 3 shared Alessandro LaganàiD· 2 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Curved chords = mutual co-authorship

4 shared papersCancer Biology

Sagar LonialORCID

Mutual co-authors in cluster

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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

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Cancer BiologybioRxivPreprintMar 25, 2026

Spatial multi-omics of multiple myeloma uncovers niche-dependent pro-myeloma and immunosuppressive signaling in the bone marrow and extramedullary lesions

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

This study uses spatial and single-cell transcriptomics to identify niche-specific signaling programs in multiple myeloma that drive progression and immunosuppression.

1 citation

humanspatial transcriptomics

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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

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GenomicsNature CommunicationsPeer-reviewedApr 23, 2019

Multiple myeloma immunoglobulin lambda translocations portend poor prognosis

Benjamin G. Barwick, Paola E. Neri, Nizar Jacques Bahlis…·Lawrence Boise

The paper identifies IgL translocations in multiple myeloma as a marker of poor prognosis, often misclassified as standard risk due to co-occurrence with hyperdiploidy.

147 citationstop 1%

humanwhole-genome sequencing

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