Single cell qtSEQ : Cell-indexed quantitative and targeted RNA sequencing for sorted rare lymphocyte subpopulations
© 2021 The Authors..
Adaptive T and B lymphocytes expand, respond, and persist across a multitude of separable cell differentiation states. Small compartments of these cells present defined cell surface phenotype, but express potentially divergent immune functions. Here, we use high resolution flow cytometry to provide direct access to rare lymphocyte subpopulations for evaluation of steady-state or reactive transcriptional programs. We sort and index single cells by phenotype in 384-well format for quantification of targeted gene amplification through RNA sequencing (single cell qtSEQ). For complete details on the use and execution of this profile, please refer to Dufaud et al. (2021).
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:3 |
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| Enthalten in: |
STAR protocols - 3(2022), 1 vom: 18. März, Seite 101064 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shuparski, Andrew G [VerfasserIn] |
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| Links: |
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| Themen: |
Flow Cytometry/Mass Cytometry |
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| Anmerkungen: |
Date Completed 08.04.2022 Date Revised 08.04.2022 published: Electronic-eCollection Citation Status MEDLINE |
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| doi: |
10.1016/j.xpro.2021.101064 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM335409113 |
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| 520 | |a © 2021 The Authors. | ||
| 520 | |a Adaptive T and B lymphocytes expand, respond, and persist across a multitude of separable cell differentiation states. Small compartments of these cells present defined cell surface phenotype, but express potentially divergent immune functions. Here, we use high resolution flow cytometry to provide direct access to rare lymphocyte subpopulations for evaluation of steady-state or reactive transcriptional programs. We sort and index single cells by phenotype in 384-well format for quantification of targeted gene amplification through RNA sequencing (single cell qtSEQ). For complete details on the use and execution of this profile, please refer to Dufaud et al. (2021) | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Flow Cytometry/Mass Cytometry | |
| 650 | 4 | |a Immunology | |
| 650 | 4 | |a Molecular Biology | |
| 650 | 4 | |a RNAseq | |
| 650 | 4 | |a Sequencing | |
| 650 | 4 | |a Single Cell | |
| 700 | 1 | |a Higgins, Brett W |e verfasserin |4 aut | |
| 700 | 1 | |a Miller, Karen B |e verfasserin |4 aut | |
| 700 | 1 | |a Dufaud, Chad R |e verfasserin |4 aut | |
| 700 | 1 | |a Robinson, Amanda M |e verfasserin |4 aut | |
| 700 | 1 | |a Dueker, Katharina |e verfasserin |4 aut | |
| 700 | 1 | |a McHeyzer-Williams, Louise J |e verfasserin |4 aut | |
| 700 | 1 | |a McHeyzer-Williams, Michael G |e verfasserin |4 aut | |
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