Author

Julien Grenier

InsermORCID 0000-0002-1897-1329Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Organism:mouse· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Organism:human· 1

Frequent Co-Authors

Charbel MassaadiD· 3 shared Venkat Krishnan SundaramiD· 3 shared Nirmal Kumar SampathkumariD· 2 shared Rasha BarakatiD· 2 shared Tatiana El JalkhiD· 2 shared Aïda Padilla-FerreriD· 1 shared Camille Julie Isabelle FernandeziD· 1 shared Ivo CarreiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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3 shared papersMolecular Biology

Charbel MassaadORCID

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3 papers

Recent·Most cited

RNA-Seq is not required to determine stable reference genes for qPCR normalization

Nirmal Kumar Sampathkumar, Venkat Krishnan Sundaram, Prakroothi S. Danthi, Rasha Barakat, Shiden Solomon, Mrityunjoy Mondal, Ivo Carre, Tatiana El Jalkh, Aïda Padilla-Ferrer, Julien Grenier, Charbel Massaad, Jacqueline C. Mitchell

This study shows that using a robust statistical method to select reference genes from randomly chosen candidates is as effective as selecting stable genes from RNA-Seq data for qPCR normalization.

PLoS Computational Biology · Feb 28, 2022Peer-reviewedMolecular Biology

Retracing Schwann cell developmental transitions in embryonic dissociated DRG/Schwann cell cocultures in mice

Venkat Krishnan Sundaram, Tatiana El Jalkh, Rasha Barakat, Camille Julie Isabelle Fernandez, Charbel Massaad, Julien Grenier

This study identifies the timing of Schwann cell developmental transitions in dissociated DRG/Schwann cell cocultures by comparing gene expression profiles to developing spinal nerves.

Frontiers in Cellular Neuroscience · May 20, 2021Peer-reviewedNeuroscience

Optimal use of statistical methods to validate reference gene stability in longitudinal studies

Venkat Krishnan Sundaram, Nirmal Kumar Sampathkumar, Charbel Massaad, Julien Grenier

The paper evaluates four statistical methods for validating reference gene stability in longitudinal studies and proposes a combined workflow for improved accuracy.

PLoS ONE · Jul 23, 2019Peer-reviewedMolecular Biology