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Claim

Human HSPC single cell RNA-seq data and analysis : Sickle Cell Disease gene therapy

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Dec 2023Publisher:ZenodoFunded by:EC | EDITSCD
Authors: DENIS, Adeline; SIX, Emmanuelle;

doi: 10.5281/zenodo.10497480 , 10.5281/zenodo.10069444 , 10.5281/zenodo.14276110 , 10.5281/zenodo.10069445 , 10.5281/zenodo.12608930

Human HSPC single cell RNA-seq data and analysis : Sickle Cell Disease gene therapy

Abstract

The present repository contains the Single cell RNA-seq pipeline and data analysis, adapted from https://doi.org/10.5281/zenodo.7377739 by DENIS Adeline, CORTAL Akira, MARTIGNETTI Loredana, SIX Emmanuelle, RAUSELL Antonio. The present repository is related to the following manuscript entitled "Severe inflammation and lineage skewing are associated with poor engraftment of engineered hematopoietic stem cells in patients with sickle cell disease" by Steicy Sobrino, Laure Joseph, Elisa Magrin, Anne Chalumeau, Nicolas Hebert, Cécile Roudaut, Clotilde Aussel, Olivia Leblanc, Adeline Denis, Mégane Brusson, Tristan Felix, Jean-Sebastien Diana, Angelina Petrichenko, Jana El Etri, Auria Godard, Eden Tibi, Sandra Manceau, Jean Marc Treluyer, Fulvio Mavilio, Frederic Bushman, Ambroise Marcais, Martin Castelle, Benedicte Neven, Olivier Hermine, Alice Corsia, Sylvain Renolleau, Alessandra Magnani, Vahid Asnafi, Wassim El Nemer, Pablo Bartolucci, Emmanuelle Six, Michaela Semeraro, Annarita Miccio, Marina Cavazzana.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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