Author

Jimin Guo

Harvard UniversityORCID 0000-0002-8304-9947Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 3 Approach:statistical model· 3 Assay:ATAC-seq· 1 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:mouse· 1

Frequent Co-Authors

David T. ScaddeniD· 2 shared Ninib BaryawnoiD· 2 shared Peter V. KharchenkoiD· 2 shared Viktor PetukhoviD· 2 shared Alessandro FurlaniD· 1 shared Amit ZeiseliD· 1 shared Audrey Sporrij· 1 shared David van BruggeniD· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersDevelopmental Biology

David T. ScaddenORCID

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3 papers

Recent·Most cited

Niche signals regulate continuous transcriptional states in hematopoietic stem cells

Eva Maria Fast, Audrey Sporrij, Margot E. Manning, Edroaldo Lummertz da Rocha, Song P. Yang, Yi Zhou, Jimin Guo, Ninib Baryawno, Nikolaos Barkas, David T. Scadden, Fernando D. Camargo, Leonard Ira Zon

The paper identifies six HSC states and shows niche perturbations induce rapid transitions between them, revealing HSC-specific molecular signatures and chromatin features related to regenerative potential.

eLife · Nov 17, 2021Peer-reviewedDevelopmental Biology

RNA velocity in single cells

Gioele La Manno, Ruslan Soldatov, Amit Zeisel, Emelie Braun, Hannah Hochgerner, Viktor Petukhov, Katja Lidschreiber, Maria Eleni Kastriti, Peter Lönnerberg, Alessandro Furlan, Jean Fan, Lars E. Borm, Zehua Liu, David van Bruggen, Jimin Guo, , Peter V. Kharchenko

Unspliced versus spliced mRNA in standard scRNA-seq gives RNA velocity, a per-cell vector predicting future state over hours, validated in neural crest and used to trace mouse hippocampal lineages.

Nature · Aug 7, 2018Peer-reviewedGenomics

Accurate estimation of molecular counts in droplet-based single-cell RNA-seq experiments

Viktor Petukhov, Jimin Guo, Ninib Baryawno, Nicolas Sévère, David T. Scadden, Maria G. Samsonova, Peter V. Kharchenko

The paper introduces a pipeline for processing droplet-based single-cell RNA-seq data to improve molecular count estimation by correcting barcode biases and sequencing errors.

Genome biology · Jun 19, 2018Peer-reviewedGenomics