Author

Magali Soumillon

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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Genomics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alexander van Oudenaarden· 2 shared Stefan SemrauiD· 2 shared Bin HuiD· 1 shared Clive Niels SvendseniD· 1 shared Davide Cacchiarelli· 1 shared Dhruv SareeniD· 1 shared Emilda Gomez· 1 shared Eric A. SobieiD· 1 shared

Activity by Year

2014-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersSystems Biology

Alexander van Oudenaarden

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3 papers

Recent·Most cited

A Comparison of mRNA Sequencing with Random Primed and 3’-Directed Libraries

Yuguang Xiong, Magali Soumillon, Jie Wu, Jens Hansen, Bin Hu, J. G. Coen van Hasselt, Gomathi Jayaraman, Ryan G. Lim, Mehdi Bouhaddou, Loren Ornelas, Jim Bochicchio, Lindsay Lenaeus, Jennifer T. Stocksdale, Jaehee V. Shim, Emilda Gomez, , Marc R. Birtwistle

This study compares 3-DGE and conventional mRNAseq, finding similar gene expression results with 3-DGE offering cost savings and scalability.

Scientific Reports · Nov 1, 2017Peer-reviewedGenomics

Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells

Stefan Semrau, Johanna Goldmann, Magali Soumillon, Tarjei S. Mikkelsen, Rudolf Jaenisch, Alexander van Oudenaarden

This study uses single-cell transcriptomics to analyze lineage commitment in differentiating mouse embryonic stem cells, identifying key transcriptional changes and a phase of susceptibility to lineage signals.

bioRxiv · Aug 7, 2016Systems Biology

Characterization of directed differentiation by high-throughput single-cell RNA-Seq

Magali Soumillon, Davide Cacchiarelli, Stefan Semrau, Alexander van Oudenaarden, Tarjei S Mikkelsen

The paper develops a single-cell RNA-Seq protocol to analyze adipogenic differentiation and finds an inverse relationship between inflammatory gene expression and lipid accumulation in human cells.

bioRxiv · Mar 5, 2014 · PreprintGenomics