期刊
GENOME BIOLOGY
卷 21, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13059-020-02032-0
关键词
Single-cell; Biobank; RNA sequencing; Peripheral blood mononuclear cells; PBMC; Chronic lymphocytic leukemia; CLL; Sampling; Cryopreservation; Benchmarking
资金
- Spanish Institute of Health Carlos III (ISCIII) [CP14/00229]
- AECC
- Ministerio de Ciencia, Innovacion y Universidades [SAF2017-89109-P]
- Spanish Ministry of Economy and Competitiveness [IPT-010000-2010-36]
- European Regional Development Fund
- ISCIII
- Generalitat de Catalunya
- Spanish Ministry of Economy, Industry and Competitiveness (MEIC)
- Centro de Excelencia Severo Ochoa
- CERCA Programme/Generalitat de Catalunya
- Spanish Ministry of Economy, Industry and Competitiveness (MEIC) through the Instituto de Salud Carlos III
- Generalitat de Catalunya through Departament de Salut
- Departament d'Empresa i Coneixement
- European Regional Development Fund (ERDF)
- Generalitat de Catalunya Suport Grups de Recerca AGAUR [2017-SGR-736, 2017-SGR-1142]
- CIBERONC [CB16/12/00225, CB16/12/00334]
- European Commission [SEP-210574908]
- European Research Council (ERC) under the European Union [810287]
- European Research Council (ERC) [810287] Funding Source: European Research Council (ERC)
Robust protocols and automation now enable large-scale single-cell RNA and ATAC sequencing experiments and their application on biobank and clinical cohorts. However, technical biases introduced during sample acquisition can hinder solid, reproducible results, and a systematic benchmarking is required before entering large-scale data production. Here, we report the existence and extent of gene expression and chromatin accessibility artifacts introduced during sampling and identify experimental and computational solutions for their prevention.
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