Literature DB >> 30946217

Single-cell Transcriptomics and Solid Organ Transplantation.

Andrew F Malone1, Benjamin D Humphreys1,2.   

Abstract

Single-cell RNA sequencing (scRNA-seq) allows the measurement of transcriptomes from individual cells providing new insights into complex biological systems. scRNA-seq has enabled the identification of rare cell types, new cell states, and intercellular communication networks that may be masked by traditional bulk transcriptional profiling. Researchers are increasingly using scRNA-seq to comprehensively characterize complex organs in health and disease. The diversity of immune cell types, some present at low frequency, in a transplanted organ undergoing rejection makes scRNA-seq ideally suited to characterize transplant pathologies because it can quantify subtle transcriptional differences between rare cell types. In this review, we discuss single-cell sequencing methods and their application in transplantation to date, current challenges, and future directions. We believe that the remarkably rapid pace of technological development in this field makes it likely that single-cell technologies such as scRNA-seq will have an impact on clinical transplantation within a decade.

Entities:  

Mesh:

Year:  2019        PMID: 30946217      PMCID: PMC6713581          DOI: 10.1097/TP.0000000000002725

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  37 in total

1.  International variation in histologic grading is large, and persistent feedback does not improve reproducibility.

Authors:  Peter N Furness; Nicholas Taub; Karel J M Assmann; Giovanni Banfi; Jean-Pierre Cosyns; Anthony M Dorman; Claire M Hill; Silke K Kapper; Rudiger Waldherr; Aryvdas Laurinavicius; Niels Marcussen; Anna Paula Martins; Malfada Nogueira; Heinz Regele; Daniel Seron; Marta Carrera; Ståle Sund; Eero I Taskinen; Timo Paavonen; Tatjana Tihomirova; Rafail Rosenthal
Journal:  Am J Surg Pathol       Date:  2003-06       Impact factor: 6.394

2.  A SAGE-based comparison between glomerular and aortic endothelial cells.

Authors:  Gürkan Sengoelge; Wensheng Luo; Derek Fine; Agnes M Perschl; Wolfgang Fierlbeck; Abdolreza Haririan; Jenny Sorensson; Tausif-Ur Rehman; Peter Hauser; Jacob S Trevick; Stephen C Kulak; Binytha Wegner; Barbara J Ballermann
Journal:  Am J Physiol Renal Physiol       Date:  2005-01-18

Review 3.  Novel insights into lung transplant rejection by microarray analysis.

Authors:  Jeffrey D Lande; Jagadish Patil; Na Li; Todd R Berryman; Richard A King; Marshall I Hertz
Journal:  Proc Am Thorac Soc       Date:  2007-01

4.  Identification of endothelial cell genes by combined database mining and microarray analysis.

Authors:  Michael Ho; Eugene Yang; George Matcuk; David Deng; Nick Sampas; Anya Tsalenko; Raymond Tabibiazar; Ying Zhang; Mary Chen; Said Talbi; Yen Dong Ho; James Wang; Philip S Tsao; Amir Ben-Dor; Zohar Yakhini; Laurakay Bruhn; Thomas Quertermous
Journal:  Physiol Genomics       Date:  2003-05-13       Impact factor: 3.107

5.  Noninvasive discrimination of rejection in cardiac allograft recipients using gene expression profiling.

Authors:  M C Deng; H J Eisen; M R Mehra; M Billingham; C C Marboe; G Berry; J Kobashigawa; F L Johnson; R C Starling; S Murali; D F Pauly; H Baron; J G Wohlgemuth; R N Woodward; T M Klingler; D Walther; P G Lal; S Rosenberg; S Hunt
Journal:  Am J Transplant       Date:  2006-01       Impact factor: 8.086

6.  Circos: an information aesthetic for comparative genomics.

Authors:  Martin Krzywinski; Jacqueline Schein; Inanç Birol; Joseph Connors; Randy Gascoyne; Doug Horsman; Steven J Jones; Marco A Marra
Journal:  Genome Res       Date:  2009-06-18       Impact factor: 9.043

7.  Peripheral blood but not tissue dendritic cells express CD52 and are depleted by treatment with alemtuzumab.

Authors:  Andrea G S Buggins; Ghulam J Mufti; Jonathan Salisbury; Jane Codd; Nigel Westwood; Matthew Arno; Keith Fishlock; Antonio Pagliuca; Stephen Devereux
Journal:  Blood       Date:  2002-09-01       Impact factor: 22.113

8.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

9.  Transcriptome analysis reveals heterogeneity in the injury response of kidney transplants.

Authors:  K S Famulski; G Broderick; G Einecke; K Hay; J Cruz; B Sis; M Mengel; P F Halloran
Journal:  Am J Transplant       Date:  2007-10-01       Impact factor: 8.086

10.  Kidney transplant rejection and tissue injury by gene profiling of biopsies and peripheral blood lymphocytes.

Authors:  Stuart M Flechner; Sunil M Kurian; Steven R Head; Starlette M Sharp; Thomas C Whisenant; Jie Zhang; Jeffrey D Chismar; Steve Horvath; Tony Mondala; Timothy Gilmartin; Daniel J Cook; Steven A Kay; John R Walker; Daniel R Salomon
Journal:  Am J Transplant       Date:  2004-09       Impact factor: 8.086

View more
  9 in total

1.  Kidney cell type-specific changes in the chromatin and transcriptome landscapes following epithelial Hdac1 and Hdac2 knockdown.

Authors:  Kelly A Hyndman; David K Crossman
Journal:  Physiol Genomics       Date:  2021-12-10       Impact factor: 3.107

Review 2.  Cancer Risk and Mutational Patterns Following Organ Transplantation.

Authors:  Yangyang Shen; Di Lian; Kai Shi; Yuefeng Gao; Xiaoxiang Hu; Kun Yu; Qian Zhao; Chungang Feng
Journal:  Front Cell Dev Biol       Date:  2022-06-28

3.  An optimized protocol for single nuclei isolation from clinical biopsies for RNA-seq.

Authors:  Thomas V Rousselle; Jennifer M McDaniels; Amol C Shetty; Elissa Bardhi; Daniel G Maluf; Valeria R Mas
Journal:  Sci Rep       Date:  2022-06-14       Impact factor: 4.996

4.  Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts.

Authors:  Hemant Suryawanshi; Hua Yang; Michelle Lubetzky; Pavel Morozov; Mila Lagman; Gaurav Thareja; Alicia Alonso; Carol Li; Catherine Snopkowski; Aziz Belkadi; Franco B Mueller; John R Lee; Darshana M Dadhania; Steven P Salvatore; Surya V Seshan; Vijay K Sharma; Karsten Suhre; Manikkam Suthanthiran; Thomas Tuschl; Thangamani Muthukumar
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

5.  Single-cell transcriptomic identified HIF1A as a target for attenuating acute rejection after heart transplantation.

Authors:  Yuan Chang; Xiangjie Li; Qi Cheng; Yiqing Hu; Xiao Chen; Xiumeng Hua; Xuexin Fan; Menghao Tao; Jiangping Song; Shengshou Hu
Journal:  Basic Res Cardiol       Date:  2021-12-06       Impact factor: 17.165

6.  T Cells With Activated STAT4 Drive the High-Risk Rejection State to Renal Allograft Failure After Kidney Transplantation.

Authors:  Yihan Chen; Bao Zhang; Tianliang Liu; Xiaoping Chen; Yaning Wang; Hongbo Zhang
Journal:  Front Immunol       Date:  2022-07-01       Impact factor: 8.786

7.  Single-Cell RNA sequencing reveals immune cell dynamics and local intercellular communication in acute murine cardiac allograft rejection.

Authors:  Zhang Chen; Heng Xu; Yuan Li; Xi Zhang; Jikai Cui; Yanqiang Zou; Jizhang Yu; Jie Wu; Jiahong Xia
Journal:  Theranostics       Date:  2022-08-29       Impact factor: 11.600

8.  Single cell transcriptomics of mouse kidney transplants reveals a myeloid cell pathway for transplant rejection.

Authors:  Anil Dangi; Naveen R Natesh; Irma Husain; Zhicheng Ji; Laura Barisoni; Jean Kwun; Xiling Shen; Edward B Thorp; Xunrong Luo
Journal:  JCI Insight       Date:  2020-10-15

9.  Banff Digital Pathology Working Group: Going digital in transplant pathology.

Authors:  Alton B Farris; Ishita Moghe; Simon Wu; Julien Hogan; Lynn D Cornell; Mariam P Alexander; Jesper Kers; Anthony J Demetris; Richard M Levenson; John Tomaszewski; Laura Barisoni; Yukako Yagi; Kim Solez
Journal:  Am J Transplant       Date:  2020-04-19       Impact factor: 8.086

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.