Preparation of mouse pancreatic tumor for single-cell RNA sequencing and analysis of the data.
Preparation of mouse pancreatic tumor for single-cell RNA sequencing and analysis of the data.
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DOI:
10.1016/j.xpro.2021.100989
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发表时间:
2021-12-17
期刊:
影响因子:
--
通讯作者:
Astsaturov I
中科院分区:
文献类型:
--
作者:
Surumbayeva A;Kotliar M;Gabitova-Cornell L;Kartashov A;Peri S;Salomonis N;Barski A;Astsaturov I
Preparation of single-cell suspension from primary tumor tissue can provide a valuable resource for functional, genetic, proteomic, and tumor microenvironment studies. Here, we describe an effective protocol for mouse pancreatic tumor dissociation with further processing of tumor suspension for single-cell RNA sequencing analysis of cellular populations. We further provide an outline of the bioinformatics processing of the data and clustering of heterogeneous cellular populations comprising pancreatic tumors using Common Workflow Language (CWL) pipelines within user-friendly Scientific Data Analysis Platform (https://SciDAP.com). For complete details on the use and execution of this protocol, please refer to. Isolation of single-cell suspension from pancreatic tumor Step-by-step guidance to the generation of quality single-cell RNA libraries An online informatics pipeline SciDAP for downstream processes SciDAP uses open source pipelines to obtain reproducible results Preparation of single-cell suspension from primary tumor tissue can provide a valuable resource for functional, genetic, proteomic, and tumor microenvironment studies. Here, we describe an effective protocol for mouse pancreatic tumor dissociation with further processing of tumor suspension for single-cell RNA sequencing analysis of cellular populations. We further provide an outline of the bioinformatics processing of the data and clustering of heterogeneous cellular populations comprising pancreatic tumors using Common Workflow Language (CWL) pipelines within user-friendly Scientific Data Analysis Platform (https://SciDAP.com).
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影响因子:
28.2
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Barski, Artem
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50.3
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Gabitova-Cornell L;Surumbayeva A;Peri S;Franco-Barraza J;Restifo D;Weitz N;Ogier C;Goldman AR;Hartman TR;Francescone R;Tan Y;Nicolas E;Shah N;Handorf EA;Cai KQ;O'Reilly AM;Sloma I;Chiaverelli R;Moffitt RA;Khazak V;Fang CY;Golemis EA;Cukierman E;Astsaturov I
通讯作者:
Astsaturov I
影响因子:
28.2
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通讯作者:
Cukierman E