Literature DB >> 22693166

Single-cell mass cytometry adapted to measurements of the cell cycle.

Gregory K Behbehani1, Sean C Bendall, Matthew R Clutter, Wendy J Fantl, Garry P Nolan.   

Abstract

Mass cytometry is a recently introduced technology that utilizes transition element isotope-tagged antibodies for protein detection on a single-cell basis. By circumventing the limitations of emission spectral overlap associated with fluorochromes utilized in traditional flow cytometry, mass cytometry currently allows measurement of up to 40 parameters per cell. Recently, a comprehensive mass cytometry analysis was described for the hematopoietic differentiation program in human bone marrow from a healthy donor. The current study describes approaches to delineate cell cycle stages utilizing 5-iodo-2-deoxyuridine (IdU) to mark cells in S phase, simultaneously with antibodies against cyclin B1, cyclin A, and phosphorylated histone H3 (S28) that characterize the other cell cycle phases. Protocols were developed in which an antibody against phosphorylated retinoblastoma protein (Rb) at serines 807 and 811 was used to separate cells in G0 and G1 phases of the cell cycle. This mass cytometry method yielded cell cycle distributions of both normal and cancer cell populations that were equivalent to those obtained by traditional fluorescence cytometry techniques. We applied this to map the cell cycle phases of cells spanning the hematopoietic hierarchy in healthy human bone marrow as a prelude to later studies with cancers and other disorders of this lineage.
Copyright © 2012 International Society for Advancement of Cytometry.

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Year:  2012        PMID: 22693166      PMCID: PMC3667754          DOI: 10.1002/cyto.a.22075

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  32 in total

1.  Immunophenotypic differentiation patterns of normal hematopoiesis in human bone marrow: reference patterns for age-related changes and disease-induced shifts.

Authors:  E G van Lochem; V H J van der Velden; H K Wind; J G te Marvelde; N A C Westerdaal; J J M van Dongen
Journal:  Cytometry B Clin Cytom       Date:  2004-07       Impact factor: 3.058

2.  Hematopoietic stem cells: the paradigmatic tissue-specific stem cell.

Authors:  David Bryder; Derrick J Rossi; Irving L Weissman
Journal:  Am J Pathol       Date:  2006-08       Impact factor: 4.307

3.  Study of cell antigens and intracellular DNA by identification of element-containing labels and metallointercalators using inductively coupled plasma mass spectrometry.

Authors:  O I Ornatsky; X Lou; M Nitz; S Schäfer; W S Sheldrick; V I Baranov; D R Bandura; S D Tanner
Journal:  Anal Chem       Date:  2008-03-05       Impact factor: 6.986

4.  Detection of mitotic cells.

Authors:  Gloria Juan; Zbigniew Darzynkiewicz
Journal:  Curr Protoc Cytom       Date:  2004-05

5.  Cell cycle kinetic studies in 68 patients with myelodysplastic syndromes following intravenous iodo- and/or bromodeoxyuridine.

Authors:  A Raza; S Alvi; L Broady-Robinson; M Showel; J Cartlidge; S D Mundle; V T Shetty; R Z Borok; S E Dar; H K Chopra; L Span; A Parcharidou; C Hines; S Gezer; P Venugopal; J Loew; J Showel; D Alston; B Hernandez; S Rifkin; E Robin; R Shah; S A Gregory
Journal:  Exp Hematol       Date:  1997-06       Impact factor: 3.084

6.  Aurora-B phosphorylates Histone H3 at serine28 with regard to the mitotic chromosome condensation.

Authors:  Hidemasa Goto; Yoshihiro Yasui; Erich A Nigg; Masaki Inagaki
Journal:  Genes Cells       Date:  2002-01       Impact factor: 1.891

7.  The effect of bleeding on hematopoietic stem cell cycling and self-renewal.

Authors:  Samuel H Cheshier; Susan S Prohaska; Irving L Weissman
Journal:  Stem Cells Dev       Date:  2007-10       Impact factor: 3.272

8.  Unscheduled expression of cyclin B1 and cyclin E in several leukemic and solid tumor cell lines.

Authors:  J Gong; B Ardelt; F Traganos; Z Darzynkiewicz
Journal:  Cancer Res       Date:  1994-08-15       Impact factor: 12.701

9.  AML engraftment in the NOD/SCID assay reflects the outcome of AML: implications for our understanding of the heterogeneity of AML.

Authors:  Daniel J Pearce; David Taussig; Kazem Zibara; Lan-Lan Smith; Christopher M Ridler; Claude Preudhomme; Bryan D Young; Ama Z Rohatiner; T Andrew Lister; Dominique Bonnet
Journal:  Blood       Date:  2005-10-18       Impact factor: 22.113

10.  Innovative analyses support a role for DNA damage and an aberrant cell cycle in myelodysplastic syndrome pathogenesis.

Authors:  David R Head; James W Jacobberger; Claudio Mosse; Madan Jagasia; William Dupont; Stacey Goodman; Leanne Flye; Andrew Shinar; Sara McClintock-Treep; Greg Stelzer; Robert Briggs; Keith Shults
Journal:  Bone Marrow Res       Date:  2011-06-07
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  78 in total

Review 1.  Single-cell mass cytometry for analysis of immune system functional states.

Authors:  Zach B Bjornson; Garry P Nolan; Wendy J Fantl
Journal:  Curr Opin Immunol       Date:  2013-08-31       Impact factor: 7.486

2.  Impairment of neutrophil oxidative burst in children with sickle cell disease is associated with heme oxygenase-1.

Authors:  Ceri Evans; Katharine Orf; Erzsebet Horvath; Michael Levin; Josu De La Fuente; Subarna Chakravorty; Aubrey J Cunnington
Journal:  Haematologica       Date:  2015-08-27       Impact factor: 9.941

Review 3.  Pituitary gland development and disease: from stem cell to hormone production.

Authors:  Shannon W Davis; Buffy S Ellsworth; María Inés Peréz Millan; Peter Gergics; Vanessa Schade; Nastaran Foyouzi; Michelle L Brinkmeier; Amanda H Mortensen; Sally A Camper
Journal:  Curr Top Dev Biol       Date:  2013       Impact factor: 4.897

4.  Quantifying the Dynamics of Hematopoiesis by In Vivo IdU Pulse-Chase, Mass Cytometry, and Mathematical Modeling.

Authors:  Amir Erez; Ratnadeep Mukherjee; Grégoire Altan-Bonnet
Journal:  Cytometry A       Date:  2019-05-31       Impact factor: 4.355

5.  Sample Preparation for Mass Cytometry Analysis.

Authors:  Ryan L McCarthy; Aundrietta D Duncan; Michelle C Barton
Journal:  J Vis Exp       Date:  2017-04-29       Impact factor: 1.355

6.  IL-15 regulates susceptibility of CD4+ T cells to HIV infection.

Authors:  Lara Manganaro; Patrick Hong; Matthew M Hernandez; Dionne Argyle; Lubbertus C F Mulder; Uma Potla; Felipe Diaz-Griffero; Benhur Lee; Ana Fernandez-Sesma; Viviana Simon
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-26       Impact factor: 11.205

7.  Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade.

Authors:  Spencer C Wei; Jacob H Levine; Alexandria P Cogdill; Yang Zhao; Nana-Ama A S Anang; Miles C Andrews; Padmanee Sharma; Jing Wang; Jennifer A Wargo; Dana Pe'er; James P Allison
Journal:  Cell       Date:  2017-08-10       Impact factor: 41.582

8.  High-Dimensional Data Analysis Algorithms Yield Comparable Results for Mass Cytometry and Spectral Flow Cytometry Data.

Authors:  Laura Ferrer-Font; Johannes U Mayer; Samuel Old; Ian F Hermans; Jonathan Irish; Kylie M Price
Journal:  Cytometry A       Date:  2020-04-15       Impact factor: 4.355

9.  Quantifying Heterogeneity of Individual Organelles in Mixed Populations via Mass Cytometry.

Authors:  Heather M G Brown; Edgar A Arriaga
Journal:  Anal Chem       Date:  2018-11-05       Impact factor: 6.986

10.  Single cell-resolution western blotting.

Authors:  Chi-Chih Kang; Kevin A Yamauchi; Julea Vlassakis; Elly Sinkala; Todd A Duncombe; Amy E Herr
Journal:  Nat Protoc       Date:  2016-07-28       Impact factor: 13.491

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