Author

Cynthia C. Hession

Broad Institute

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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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Joshua Z. LeviniD· 2 shared Sean SimmonsiD· 2 shared Xian AdiconisiD· 2 shared Alex K. ShalekiD· 1 shared Alexandra–Chloé VillaniiD· 1 shared Amanda J. KedaigleiD· 1 shared Aviv RegeviD· 1 shared Boaz BarakiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersMolecular Biology

Joshua Z. LevinORCID

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Author profile →

3 papers

Recent·Most cited

Monkeybread: A Python toolkit for the analysis of cellular niches in single-cell resolution spatial transcriptomics data

Matthew N. Bernstein, Dillon Scott, Cynthia C. Hession, Tim O. Nieuwenhuis, Jacqueline S. Gerritsen, Siamak Tabrizi, Vandana Nandivada, Matthew A. Huggins, Meixue Duan, Shruti Malu, Ming Tang

Monkeybread identifies cellular niches in spatial transcriptomics data, revealing immunogenic and tolerogenic macrophage populations in melanoma tumors.

bioRxiv · Sep 14, 2023 · PreprintBioinformatics

Pluripotent stem cell derived models of neurological diseases reveal early transcriptional heterogeneity

Matan Sorek, Walaa Oweis, Malka Nissim‐Rafinia, Moria Maman, Shahar Simon, Cynthia C. Hession, Xian Adiconis, Sean Simmons, Neville E. Sanjana, Xi Shi, Congyi Lu, Jen Q. Pan, Xiaohong Xu, Mahmoud A. Pouladi, Lisa Ellerby, , Eran Meshorer

The paper uses scRNA-seq to show increased transcriptional heterogeneity in neurodegenerative disease models, suggesting early regulatory imbalances.

Genome biology · Mar 4, 2021Peer-reviewedMolecular Biology

Systematic comparative analysis of single cell RNA-sequencing methods

Jiarui Ding, Xian Adiconis, Sean Simmons, Monika S. Kowalczyk, Cynthia C. Hession, Nemanja Despot Marjanovic, Travis K. Hughes, Marc H. Wadsworth, Tyler Burks, Lan Nguyễn, John Kwon, Boaz Barak, William H. Ge, Amanda J. Kedaigle, Shaina L. Carroll, , Joshua Z. Levin

Seven single-cell and single-nucleus protocols run side by side on the same cell lines, PBMCs and mouse cortex, analysed through one pipeline: 10x Chromium led the high-throughput methods.

bioRxiv · May 23, 2019 · PreprintGenomics✦ In-depth digest