Literature DB >> 30826016

Representation and relative abundance of cell-type selective markers in whole-kidney RNA-Seq data.

Jevin Z Clark1, Lihe Chen1, Chung-Lin Chou1, Hyun Jun Jung1, Jae Wook Lee2, Mark A Knepper3.   

Abstract

Bulk-tissue RNA-Seq is increasingly being used in the study of physiological and pathophysiological processes in the kidney; however, the presence of multiple cell types in kidney tissue complicates data interpretation. We addressed the question of which cell types are represented in whole-kidney RNA-Seq data in order to identify circumstances in which bulk-kidney RNA-Seq can be successfully interpreted. We carried out RNA-Seq in mouse whole kidneys and in microdissected renal tubule segments. To aid in the interpretation of the data, we compiled a database of cell-type selective protein markers for 43 cell types believed to be present in kidney tissue. The whole-kidney RNA-Seq analysis identified transcripts corresponding to 17,742 genes, distributed over 5 orders of magnitude of expression level. Markers for all 43 curated cell types were detectable. Analysis of the cellular makeup of mouse and rat kidney, calculated from published literature, suggests that proximal tubule cells account for more than half of the mRNA in a kidney. Comparison of RNA-Seq data from microdissected proximal tubules with data from whole kidney supports this view. RNA-Seq data for cell-type selective markers in bulk-kidney samples provide a valid means to identify changes in minority-cell abundances in kidney tissue. Because proximal tubules make up a substantial fraction of whole-kidney samples, changes in proximal tubule gene expression can be assessed presumptively by bulk-kidney RNA-Seq, although results could potentially be complicated by the presence of mRNA from other cell types. Published by Elsevier Inc.

Entities:  

Keywords:  bulk tissue; proximal tubule; transcriptome

Mesh:

Substances:

Year:  2019        PMID: 30826016      PMCID: PMC7466803          DOI: 10.1016/j.kint.2018.11.028

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  33 in total

1.  A Single-Cell Transcriptome Atlas of the Mouse Glomerulus.

Authors:  Nikos Karaiskos; Mahdieh Rahmatollahi; Anastasiya Boltengagen; Haiyue Liu; Martin Hoehne; Markus Rinschen; Bernhard Schermer; Thomas Benzing; Nikolaus Rajewsky; Christine Kocks; Martin Kann; Roman-Ulrich Müller
Journal:  J Am Soc Nephrol       Date:  2018-05-24       Impact factor: 10.121

Review 2.  Sequencing technologies - the next generation.

Authors:  Michael L Metzker
Journal:  Nat Rev Genet       Date:  2009-12-08       Impact factor: 53.242

3.  Autoradiographic demonstration of oxytocin-binding sites in the macula densa.

Authors:  M E Stoeckel; M J Freund-Mercier
Journal:  Am J Physiol       Date:  1989-08

4.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

5.  Validation of a Three-Dimensional Method for Counting and Sizing Podocytes in Whole Glomeruli.

Authors:  Victor G Puelles; James W van der Wolde; Keith E Schulze; Kieran M Short; Milagros N Wong; Jonathan G Bensley; Luise A Cullen-McEwen; Georgina Caruana; Stacey N Hokke; Jinhua Li; Stephen D Firth; Ian S Harper; David J Nikolic-Paterson; John F Bertram
Journal:  J Am Soc Nephrol       Date:  2016-03-14       Impact factor: 10.121

Review 6.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

Review 7.  The distribution of renin in the different segments of the renal arterial tree: immunocytochemical investigation in the mouse kidney.

Authors:  R Taugner; E Hackenthal; R Nobiling; M Harlacher; G Reb
Journal:  Histochemistry       Date:  1981

8.  Mapping the Mouse Cell Atlas by Microwell-Seq.

Authors:  Xiaoping Han; Renying Wang; Yincong Zhou; Lijiang Fei; Huiyu Sun; Shujing Lai; Assieh Saadatpour; Ziming Zhou; Haide Chen; Fang Ye; Daosheng Huang; Yang Xu; Wentao Huang; Mengmeng Jiang; Xinyi Jiang; Jie Mao; Yao Chen; Chenyu Lu; Jin Xie; Qun Fang; Yibin Wang; Rui Yue; Tiefeng Li; He Huang; Stuart H Orkin; Guo-Cheng Yuan; Ming Chen; Guoji Guo
Journal:  Cell       Date:  2018-02-22       Impact factor: 41.582

9.  Whole-Transcriptome profiling of formalin-fixed, paraffin-embedded renal cell carcinoma by RNA-seq.

Authors:  Ping Li; Andrew Conley; Hao Zhang; Hyung L Kim
Journal:  BMC Genomics       Date:  2014-12-11       Impact factor: 3.969

10.  Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease.

Authors:  Chengxiang Qiu; Shizheng Huang; Jihwan Park; YoSon Park; Yi-An Ko; Matthew J Seasock; Joshua S Bryer; Xiang-Xi Xu; Wen-Chao Song; Matthew Palmer; Jon Hill; Paolo Guarnieri; Julie Hawkins; Carine M Boustany-Kari; Steven S Pullen; Christopher D Brown; Katalin Susztak
Journal:  Nat Med       Date:  2018-10-01       Impact factor: 53.440

View more
  30 in total

1.  Quantitative Proteomics of All 14 Renal Tubule Segments in Rat.

Authors:  Kavee Limbutara; Chung-Lin Chou; Mark A Knepper
Journal:  J Am Soc Nephrol       Date:  2020-05-01       Impact factor: 10.121

Review 2.  Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods.

Authors:  Zoe A Clarke; Tallulah S Andrews; Jawairia Atif; Delaram Pouyabahar; Brendan T Innes; Sonya A MacParland; Gary D Bader
Journal:  Nat Protoc       Date:  2021-05-24       Impact factor: 13.491

3.  Single cell transcriptomics identifies focal segmental glomerulosclerosis remission endothelial biomarker.

Authors:  Rajasree Menon; Edgar A Otto; Paul Hoover; Sean Eddy; Laura Mariani; Bradley Godfrey; Celine C Berthier; Felix Eichinger; Lalita Subramanian; Jennifer Harder; Wenjun Ju; Viji Nair; Maria Larkina; Abhijit S Naik; Jinghui Luo; Sanjay Jain; Rachel Sealfon; Olga Troyanskaya; Nir Hacohen; Jeffrey B Hodgin; Matthias Kretzler; Kidney Precision Medicine Project Kpmp
Journal:  JCI Insight       Date:  2020-03-26

Review 4.  The Renal Physiology of Pendrin-Positive Intercalated Cells.

Authors:  Susan M Wall; Jill W Verlander; Cesar A Romero
Journal:  Physiol Rev       Date:  2020-07-01       Impact factor: 37.312

5.  Salt-sensitive transcriptome of isolated kidney distal tubule cells.

Authors:  Elizabeth A Swanson; Jonathan W Nelson; Sophia Jeng; Kayla J Erspamer; Chao-Ling Yang; Shannon McWeeney; David H Ellison
Journal:  Physiol Genomics       Date:  2019-03-15       Impact factor: 3.107

Review 6.  Histone Deacetylases in Kidney Physiology and Acute Kidney Injury.

Authors:  Kelly A Hyndman
Journal:  Semin Nephrol       Date:  2020-03       Impact factor: 5.299

7.  The Integrated RNA Landscape of Renal Preconditioning against Ischemia-Reperfusion Injury.

Authors:  Marc Johnsen; Torsten Kubacki; Assa Yeroslaviz; Martin Richard Späth; Jannis Mörsdorf; Heike Göbel; Katrin Bohl; Michael Ignarski; Caroline Meharg; Bianca Habermann; Janine Altmüller; Andreas Beyer; Thomas Benzing; Bernhard Schermer; Volker Burst; Roman-Ulrich Müller
Journal:  J Am Soc Nephrol       Date:  2020-02-28       Impact factor: 10.121

Review 8.  Renal-Tubule Epithelial Cell Nomenclature for Single-Cell RNA-Sequencing Studies.

Authors:  Lihe Chen; Jevin Z Clark; Jonathan W Nelson; Brigitte Kaissling; David H Ellison; Mark A Knepper
Journal:  J Am Soc Nephrol       Date:  2019-06-28       Impact factor: 10.121

9.  Spatiotemporal immune zonation of the human kidney.

Authors:  Benjamin J Stewart; John R Ferdinand; Matthew D Young; Thomas J Mitchell; Kevin W Loudon; Alexandra M Riding; Nathan Richoz; Gordon L Frazer; Joy U L Staniforth; Felipe A Vieira Braga; Rachel A Botting; Dorin-Mirel Popescu; Roser Vento-Tormo; Emily Stephenson; Alex Cagan; Sarah J Farndon; Krzysztof Polanski; Mirjana Efremova; Kile Green; Martin Del Castillo Velasco-Herrera; Charlotte Guzzo; Grace Collord; Lira Mamanova; Tevita Aho; James N Armitage; Antony C P Riddick; Imran Mushtaq; Stephen Farrell; Dyanne Rampling; James Nicholson; Andrew Filby; Johanna Burge; Steven Lisgo; Susan Lindsay; Marc Bajenoff; Anne Y Warren; Grant D Stewart; Neil Sebire; Nicholas Coleman; Muzlifah Haniffa; Sarah A Teichmann; Sam Behjati; Menna R Clatworthy
Journal:  Science       Date:  2019-09-27       Impact factor: 47.728

10.  Kidney Single-cell Transcriptomes Predict Spatial Corticomedullary Gene Expression and Tissue Osmolality Gradients.

Authors:  Christian Hinze; Nikos Karaiskos; Anastasiya Boltengagen; Katharina Walentin; Klea Redo; Nina Himmerkus; Markus Bleich; S Steven Potter; Andrew S Potter; Kai-Uwe Eckardt; Christine Kocks; Nikolaus Rajewsky; Kai M Schmidt-Ott
Journal:  J Am Soc Nephrol       Date:  2020-11-25       Impact factor: 10.121

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.