Literature DB >> 29030335

Single-cell RNA-seq reveals a distinct transcriptome signature of aneuploid hematopoietic cells.

Xin Zhao1,2, Shouguo Gao1, Zhijie Wu1,2, Sachiko Kajigaya1, Xingmin Feng1, Qingguo Liu1,2, Danielle M Townsley1, James Cooper1, Jinguo Chen3, Keyvan Keyvanfar1, Maria Del Pilar Fernandez Ibanez1, Xujing Wang4, Neal S Young1.   

Abstract

Cancer cells frequently exhibit chromosomal abnormalities. Specific cytogenetic aberrations often are predictors of outcome, especially in hematologic neoplasms, such as monosomy 7 in myeloid malignancies. The functional consequences of aneuploidy at the cellular level are difficult to assess because of a lack of convenient markers to distinguish abnormal from diploid cells. We performed single-cell RNA sequencing (scRNA-seq) to study hematopoietic stem and progenitor cells from the bone marrow of 4 healthy donors and 5 patients with bone marrow failure and chromosome gain or loss. In total, transcriptome sequences were obtained from 391 control cells and 588 cells from patients. We characterized normal hematopoiesis as binary differentiation from stem cells to erythroid and myeloid-lymphoid pathways. Aneuploid cells were distinguished from diploid cells in patient samples by computational analyses of read fractions and gene expression of individual chromosomes. We confirmed assignment of aneuploidy to individual cells quantitatively, by copy-number variation, and qualitatively, by loss of heterozygosity. When we projected patients' single cells onto the map of normal hematopoiesis, diverse patterns were observed, broadly reflecting clinical phenotypes. Patients' monosomy 7 cells showed downregulation of genes involved in immune response and DNA damage checkpoint and apoptosis pathways, which may contribute to the clonal expansion of monosomy 7 cells with accumulated gene mutations. scRNA-seq is a powerful technique through which to infer the functional consequences of chromosome gain and loss and explore gene targets for directed therapy.

Entities:  

Mesh:

Year:  2017        PMID: 29030335      PMCID: PMC5746166          DOI: 10.1182/blood-2017-08-803353

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  54 in total

1.  Highly homologous T-cell receptor beta sequences support a common target for autoreactive T cells in most patients with paroxysmal nocturnal hemoglobinuria.

Authors:  Lucia Gargiulo; Sonia Lastraioli; Giannamaria Cerruti; Martina Serra; Fabrizio Loiacono; Simona Zupo; Lucio Luzzatto; Rosario Notaro
Journal:  Blood       Date:  2007-02-06       Impact factor: 22.113

Review 2.  The pathophysiology of acquired aplastic anemia.

Authors:  N S Young; J Maciejewski
Journal:  N Engl J Med       Date:  1997-05-08       Impact factor: 91.245

3.  Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing.

Authors:  Dmitry Usoskin; Alessandro Furlan; Saiful Islam; Hind Abdo; Peter Lönnerberg; Daohua Lou; Jens Hjerling-Leffler; Jesper Haeggström; Olga Kharchenko; Peter V Kharchenko; Sten Linnarsson; Patrik Ernfors
Journal:  Nat Neurosci       Date:  2014-11-24       Impact factor: 24.884

4.  Distinct clinical outcomes for cytogenetic abnormalities evolving from aplastic anemia.

Authors:  Jaroslaw P Maciejewski; Antonio Risitano; Elaine M Sloand; Olga Nunez; Neal S Young
Journal:  Blood       Date:  2002-05-01       Impact factor: 22.113

5.  CUX1 is a haploinsufficient tumor suppressor gene on chromosome 7 frequently inactivated in acute myeloid leukemia.

Authors:  Megan E McNerney; Christopher D Brown; Xiaoyue Wang; Elizabeth T Bartom; Subhradip Karmakar; Chaitanya Bandlamudi; Shan Yu; Jinkyung Ko; Barry P Sandall; Thomas Stricker; John Anastasi; Robert L Grossman; John M Cunningham; Michelle M Le Beau; Kevin P White
Journal:  Blood       Date:  2012-12-03       Impact factor: 22.113

6.  New insights into the prognostic impact of the karyotype in MDS and correlation with subtypes: evidence from a core dataset of 2124 patients.

Authors:  Detlef Haase; Ulrich Germing; Julie Schanz; Michael Pfeilstöcker; Thomas Nösslinger; Barbara Hildebrandt; Andrea Kundgen; Michael Lübbert; Regina Kunzmann; Aristoteles A N Giagounidis; Carlo Aul; Lorenz Trümper; Otto Krieger; Reinhard Stauder; Thomas H Müller; Friedrich Wimazal; Peter Valent; Christa Fonatsch; Christian Steidl
Journal:  Blood       Date:  2007-08-28       Impact factor: 22.113

7.  Cytogenetic profile predicts prognosis of patients with clear cell renal cell carcinoma.

Authors:  Tobias Klatte; P Nagesh Rao; Michela de Martino; Jeffrey LaRochelle; Brian Shuch; Nazy Zomorodian; Jonathan Said; Fairooz F Kabbinavar; Arie S Belldegrun; Allan J Pantuck
Journal:  J Clin Oncol       Date:  2009-01-05       Impact factor: 44.544

8.  Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells.

Authors:  Amit Grover; Alejandra Sanjuan-Pla; Supat Thongjuea; Joana Carrelha; Alice Giustacchini; Adriana Gambardella; Iain Macaulay; Elena Mancini; Tiago C Luis; Adam Mead; Sten Eirik W Jacobsen; Claus Nerlov
Journal:  Nat Commun       Date:  2016-03-24       Impact factor: 14.919

9.  Single-Cell RNA-Sequencing Reveals a Continuous Spectrum of Differentiation in Hematopoietic Cells.

Authors:  Iain C Macaulay; Valentine Svensson; Charlotte Labalette; Lauren Ferreira; Fiona Hamey; Thierry Voet; Sarah A Teichmann; Ana Cvejic
Journal:  Cell Rep       Date:  2016-01-21       Impact factor: 9.423

10.  Analysis of chromosomal aberrations and recombination by allelic bias in RNA-Seq.

Authors:  Uri Weissbein; Maya Schachter; Dieter Egli; Nissim Benvenisty
Journal:  Nat Commun       Date:  2016-07-07       Impact factor: 14.919

View more
  23 in total

1.  Sequencing of RNA in single cells reveals a distinct transcriptome signature of hematopoiesis in GATA2 deficiency.

Authors:  Zhijie Wu; Shouguo Gao; Carrie Diamond; Sachiko Kajigaya; Jinguo Chen; Rongye Shi; Cindy Palmer; Amy P Hsu; Katherine R Calvo; Dennis D Hickstein; Steven M Holland; Neal S Young
Journal:  Blood Adv       Date:  2020-06-23

Review 2.  The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution.

Authors:  Deanne M Taylor; Bruce J Aronow; Kai Tan; Kathrin Bernt; Nathan Salomonis; Casey S Greene; Alina Frolova; Sarah E Henrickson; Andrew Wells; Liming Pei; Jyoti K Jaiswal; Jeffrey Whitsett; Kathryn E Hamilton; Sonya A MacParland; Judith Kelsen; Robert O Heuckeroth; S Steven Potter; Laura A Vella; Natalie A Terry; Louis R Ghanem; Benjamin C Kennedy; Ingo Helbig; Kathleen E Sullivan; Leslie Castelo-Soccio; Arnold Kreigstein; Florian Herse; Martijn C Nawijn; Gerard H Koppelman; Melissa Haendel; Nomi L Harris; Jo Lynne Rokita; Yuanchao Zhang; Aviv Regev; Orit Rozenblatt-Rosen; Jennifer E Rood; Timothy L Tickle; Roser Vento-Tormo; Saif Alimohamed; Monkol Lek; Jessica C Mar; Kathleen M Loomes; David M Barrett; Prech Uapinyoying; Alan H Beggs; Pankaj B Agrawal; Yi-Wen Chen; Amanda B Muir; Lana X Garmire; Scott B Snapper; Javad Nazarian; Steven H Seeholzer; Hossein Fazelinia; Larry N Singh; Robert B Faryabi; Pichai Raman; Noor Dawany; Hongbo Michael Xie; Batsal Devkota; Sharon J Diskin; Stewart A Anderson; Eric F Rappaport; William Peranteau; Kathryn A Wikenheiser-Brokamp; Sarah Teichmann; Douglas Wallace; Tao Peng; Yang-Yang Ding; Man S Kim; Yi Xing; Sek Won Kong; Carsten G Bönnemann; Kenneth D Mandl; Peter S White
Journal:  Dev Cell       Date:  2019-03-28       Impact factor: 12.270

Review 3.  5-Aminolevulinate synthase catalysis: The catcher in heme biosynthesis.

Authors:  Bosko M Stojanovski; Gregory A Hunter; Insung Na; Vladimir N Uversky; Rays H Y Jiang; Gloria C Ferreira
Journal:  Mol Genet Metab       Date:  2019-06-13       Impact factor: 4.797

4.  Insufficiency of FZR1 disturbs HSC quiescence by inhibiting ubiquitin-dependent degradation of RUNX1 in aplastic anemia.

Authors:  Chengfang Zhou; Mei Kuang; Zhilong Liu; Xiaoqin Jia; Zhe Chen; Yuanyuan Liu; Zhigang Li; Weiru Wu; Le Ma; Jieping Chen; Yu Hou
Journal:  Leukemia       Date:  2021-10-11       Impact factor: 11.528

5.  Comparative Transcriptomic Analysis of the Hematopoietic System between Human and Mouse by Single Cell RNA Sequencing.

Authors:  Shouguo Gao; Zhijie Wu; Jeerthi Kannan; Liza Mathews; Xingmin Feng; Sachiko Kajigaya; Neal S Young
Journal:  Cells       Date:  2021-04-21       Impact factor: 6.600

Review 6.  New insights into hematopoietic differentiation landscapes from single-cell RNA sequencing.

Authors:  Sam Watcham; Iwo Kucinski; Berthold Gottgens
Journal:  Blood       Date:  2019-02-06       Impact factor: 25.476

7.  HLA associations, somatic loss of HLA expression, and clinical outcomes in immune aplastic anemia.

Authors:  Yoshitaka Zaimoku; Bhavisha A Patel; Sharon D Adams; Ruba Shalhoub; Emma M Groarke; Audrey Ai Chin Lee; Sachiko Kajigaya; Xingmin Feng; Olga Julia Rios; Holly Eager; Lemlem Alemu; Diego Quinones Raffo; Colin O Wu; Willy A Flegel; Neal S Young
Journal:  Blood       Date:  2021-12-30       Impact factor: 25.476

8.  Single-Cell RNA Sequencing of Hematopoietic Stem and Progenitor Cells Treated with Gemcitabine and Carboplatin.

Authors:  Niclas Björn; Ingrid Jakobsen; Kourosh Lotfi; Henrik Gréen
Journal:  Genes (Basel)       Date:  2020-05-14       Impact factor: 4.096

9.  Autophagy-mediated apoptosis eliminates aneuploid cells in a mouse model of chromosome mosaicism.

Authors:  Shruti Singla; Lisa K Iwamoto-Stohl; Meng Zhu; Magdalena Zernicka-Goetz
Journal:  Nat Commun       Date:  2020-06-11       Impact factor: 14.919

Review 10.  An Introduction to the Analysis of Single-Cell RNA-Sequencing Data.

Authors:  Aisha A AlJanahi; Mark Danielsen; Cynthia E Dunbar
Journal:  Mol Ther Methods Clin Dev       Date:  2018-08-02       Impact factor: 6.698

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.