Literature DB >> 28369679

Preparing Viable Single Cells from Human Tissue and Tumors for Cytomic Analysis.

Nalin Leelatian1, Deon B Doxie1, Allison R Greenplate2, Justine Sinnaeve1, Rebecca A Ihrie1,3,4, Jonathan M Irish1,2.   

Abstract

Mass cytometry is a single-cell biology technique that samples >500 cells per second, measures >35 features per cell, and is sensitive across a dynamic range of >104 relative intensity units per feature. This combination of technical assets has powered a series of recent cytomic studies where investigators used mass cytometry to measure protein and phospho-protein expression in millions of cells, characterize rare cell types in healthy and diseased tissues, and reveal novel, unexpected cells. However, these advances largely occurred in studies of blood, lymphoid tissues, and bone marrow, since the cells in these tissues are readily obtained in single-cell suspensions. This unit establishes a primer for single-cell analysis of solid tumors and tissues, and has been tested with mass cytometry. The cells obtained from these protocols can be fixed for study, cryopreserved for long-term storage, or perturbed ex vivo to dissect responses to stimuli and inhibitors. © 2017 by John Wiley & Sons, Inc.
Copyright © 2017 John Wiley & Sons, Inc.

Entities:  

Keywords:  cytometry; dissociation; human tissue; human tumor; single cell

Mesh:

Year:  2017        PMID: 28369679      PMCID: PMC5518778          DOI: 10.1002/cpmb.37

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  80 in total

1.  Identification of B-cell subsets: an exposition of 11-color (Hi-D) FACS methods.

Authors:  James W Tung; David R Parks; Wayne A Moore; Leonard A Herzenberg; Leonore A Herzenberg
Journal:  Methods Mol Biol       Date:  2004

2.  Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development.

Authors:  Sean C Bendall; Kara L Davis; El-Ad David Amir; Michelle D Tadmor; Erin F Simonds; Tiffany J Chen; Daniel K Shenfeld; Garry P Nolan; Dana Pe'er
Journal:  Cell       Date:  2014-04-24       Impact factor: 41.582

3.  Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.

Authors:  Bo Wang; Junjie Zhu; Emma Pierson; Daniele Ramazzotti; Serafim Batzoglou
Journal:  Nat Methods       Date:  2017-03-06       Impact factor: 28.547

4.  Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data.

Authors:  Kirsten E Diggins; P Brent Ferrell; Jonathan M Irish
Journal:  Methods       Date:  2015-05-13       Impact factor: 3.608

5.  Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes.

Authors:  Evan W Newell; Natalia Sigal; Sean C Bendall; Garry P Nolan; Mark M Davis
Journal:  Immunity       Date:  2012-01-27       Impact factor: 31.745

6.  Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study.

Authors:  Michael J Borowitz; Meenakshi Devidas; Stephen P Hunger; W Paul Bowman; Andrew J Carroll; William L Carroll; Stephen Linda; Paul L Martin; D Jeanette Pullen; David Viswanatha; Cheryl L Willman; Naomi Winick; Bruce M Camitta
Journal:  Blood       Date:  2008-04-03       Impact factor: 22.113

7.  A multipotent EGF-responsive striatal embryonic progenitor cell produces neurons and astrocytes.

Authors:  B A Reynolds; W Tetzlaff; S Weiss
Journal:  J Neurosci       Date:  1992-11       Impact factor: 6.167

8.  Characterizing Phenotypes and Signaling Networks of Single Human Cells by Mass Cytometry.

Authors:  Nalin Leelatian; Kirsten E Diggins; Jonathan M Irish
Journal:  Methods Mol Biol       Date:  2015

9.  High-dimensional analysis of the murine myeloid cell system.

Authors:  Burkhard Becher; Andreas Schlitzer; Jinmiao Chen; Florian Mair; Hermi R Sumatoh; Karen Wei Weng Teng; Donovan Low; Christiane Ruedl; Paola Riccardi-Castagnoli; Michael Poidinger; Melanie Greter; Florent Ginhoux; Evan W Newell
Journal:  Nat Immunol       Date:  2014-10-12       Impact factor: 25.606

10.  High-Dimensional Analysis of Acute Myeloid Leukemia Reveals Phenotypic Changes in Persistent Cells during Induction Therapy.

Authors:  Paul Brent Ferrell; Kirsten Elizabeth Diggins; Hannah Grace Polikowsky; Sanjay Ram Mohan; Adam C Seegmiller; Jonathan Michael Irish
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

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  21 in total

1.  Computational Immune Monitoring Reveals Abnormal Double-Negative T Cells Present across Human Tumor Types.

Authors:  Allison R Greenplate; Daniel D McClanahan; Brian K Oberholtzer; Deon B Doxie; Caroline E Roe; Kirsten E Diggins; Nalin Leelatian; Megan L Rasmussen; Mark C Kelley; Vivian Gama; Peter J Siska; Jeffrey C Rathmell; P Brent Ferrell; Douglas B Johnson; Jonathan M Irish
Journal:  Cancer Immunol Res       Date:  2018-11-09       Impact factor: 11.151

2.  High-resolution, ultrasensitive and quantitative DNA double-strand break labeling in eukaryotic cells using i-BLESS.

Authors:  Anna Biernacka; Magdalena Skrzypczak; Yingjie Zhu; Philippe Pasero; Maga Rowicka; Krzysztof Ginalski
Journal:  Nat Protoc       Date:  2020-12-21       Impact factor: 13.491

3.  Training Novices in Generation and Analysis of High-Dimensional Human Cell Phospho-Flow Cytometry Data.

Authors:  Caroline E Roe; Madeline J Hayes; Sierra M Barone; Jonathan M Irish
Journal:  Curr Protoc Cytom       Date:  2020-03

4.  Best Practices for Preparing a Single Cell Suspension from Solid Tissues for Flow Cytometry.

Authors:  Andrew Reichard; Kewal Asosingh
Journal:  Cytometry A       Date:  2018-12-06       Impact factor: 4.355

Review 5.  Beyond the message: advantages of snapshot proteomics with single-cell mass cytometry in solid tumors.

Authors:  Akshitkumar M Mistry; Allison R Greenplate; Rebecca A Ihrie; Jonathan M Irish
Journal:  FEBS J       Date:  2019-01-07       Impact factor: 5.542

6.  Unexpected PD-L1 immune evasion mechanism in TNBC, ovarian, and other solid tumors by DR5 agonist antibodies.

Authors:  Tanmoy Mondal; Gururaj N Shivange; Rachisan Gt Tihagam; Evan Lyerly; Michael Battista; Divpriya Talwar; Roxanna Mosavian; Karol Urbanek; Narmeen S Rashid; J Chuck Harrell; Paula D Bos; Edward B Stelow; M Sharon Stack; Sanchita Bhatnagar; Jogender Tushir-Singh
Journal:  EMBO Mol Med       Date:  2021-02-15       Impact factor: 12.137

7.  A Pilot Study to Determine the Utility of Automated Tissue Dissociator for Flowcytometry Based Evaluation of Hematolymphoid Tumor Tissue Biopsies.

Authors:  Tanusri Karmakar; Sambhunath Banerjee; Subhajit Brahma; Debdeep Dey; Vivek Radhakrishnan; Mammen Chandy; Niharendu Ghara; Shekhar Krishnan; Geetashree Mukherjee; Deepak Kumar Mishra; Neeraj Arora
Journal:  Indian J Hematol Blood Transfus       Date:  2021-08-15       Impact factor: 0.900

8.  BRAF and MEK inhibitor therapy eliminates Nestin-expressing melanoma cells in human tumors.

Authors:  Deon B Doxie; Allison R Greenplate; Jocelyn S Gandelman; Kirsten E Diggins; Caroline E Roe; Kimberly B Dahlman; Jeffrey A Sosman; Mark C Kelley; Jonathan M Irish
Journal:  Pigment Cell Melanoma Res       Date:  2018-06-28       Impact factor: 4.693

9.  Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells.

Authors:  Nalin Leelatian; Justine Sinnaeve; Akshitkumar M Mistry; Sierra M Barone; Asa A Brockman; Kirsten E Diggins; Allison R Greenplate; Kyle D Weaver; Reid C Thompson; Lola B Chambless; Bret C Mobley; Rebecca A Ihrie; Jonathan M Irish
Journal:  Elife       Date:  2020-06-23       Impact factor: 8.140

10.  Sulindac Modulates the Response of Proficient MMR Colorectal Cancer to Anti-PD-L1 Immunotherapy.

Authors:  Bin Yi; Hao Cheng; Dorota Wyczechowska; Qingzhao Yu; Li Li; Augusto C Ochoa; Adam I Riker; Yaguang Xi
Journal:  Mol Cancer Ther       Date:  2021-04-20       Impact factor: 6.261

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