Literature DB >> 33328386

Identifying cell-enriched miRNAs in kidney injury and repair.

Katie L Connor1,2,3, Oliver Teenan1, Carolynn Cairns1, Victoria Banwell1,2,3, Rachel Ab Thomas2,3, Julie Rodor1, Sarah Finnie1, Riinu Pius4, Gillian M Tannahill5, Vishal Sahni5, Caroline Os Savage5, Jeremy Hughes3, Ewen M Harrison2,4, Robert B Henderson5, Lorna P Marson2,3, Bryan R Conway1, Stephen J Wigmore1,2, Laura Denby1.   

Abstract

Small noncoding RNAs, miRNAs (miRNAs), are emerging as important modulators in the pathogenesis of kidney disease, with potential as biomarkers of kidney disease onset, progression, or therapeutic efficacy. Bulk tissue small RNA-sequencing (sRNA-Seq) and microarrays are widely used to identify dysregulated miRNA expression but are limited by the lack of precision regarding the cellular origin of the miRNA. In this study, we performed cell-specific sRNA-Seq on tubular cells, endothelial cells, PDGFR-β+ cells, and macrophages isolated from injured and repairing kidneys in the murine reversible unilateral ureteric obstruction model. We devised an unbiased bioinformatics pipeline to define the miRNA enrichment within these cell populations, constructing a miRNA catalog of injury and repair. Our analysis revealed that a significant proportion of cell-specific miRNAs in healthy animals were no longer specific following injury. We then applied this knowledge of the relative cell specificity of miRNAs to deconvolute bulk miRNA expression profiles in the renal cortex in murine models and human kidney disease. Finally, we used our data-driven approach to rationally select macrophage-enriched miR-16-5p and miR-18a-5p and demonstrate that they are promising urinary biomarkers of acute kidney injury in renal transplant recipients.

Entities:  

Keywords:  Bioinformatics; Nephrology; Noncoding RNAs; Organ transplantation

Mesh:

Substances:

Year:  2020        PMID: 33328386      PMCID: PMC7819746          DOI: 10.1172/jci.insight.140399

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  61 in total

1.  220-plex microRNA expression profile of a single cell.

Authors:  Fuchou Tang; Petra Hajkova; Sheila C Barton; Dónal O'Carroll; Caroline Lee; Kaiqin Lao; M Azim Surani
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

Review 2.  Kidney donation after circulatory death (DCD): state of the art.

Authors:  Dominic M Summers; Christopher J E Watson; Gavin J Pettigrew; Rachel J Johnson; David Collett; James M Neuberger; J Andrew Bradley
Journal:  Kidney Int       Date:  2015-03-18       Impact factor: 10.612

3.  ShortStack: comprehensive annotation and quantification of small RNA genes.

Authors:  Michael J Axtell
Journal:  RNA       Date:  2013-04-22       Impact factor: 4.942

4.  Tissue-Specific MicroRNA Expression Patterns in Four Types of Kidney Disease.

Authors:  Maria Angeles Baker; Seth J Davis; Pengyuan Liu; Xiaoqing Pan; Anna Marie Williams; Kenneth A Iczkowski; Sean T Gallagher; Kaylee Bishop; Kevin R Regner; Yong Liu; Mingyu Liang
Journal:  J Am Soc Nephrol       Date:  2017-06-29       Impact factor: 10.121

5.  MicroRNA-21 promotes fibrosis of the kidney by silencing metabolic pathways.

Authors:  B Nelson Chau; Cuiyan Xin; Jochen Hartner; Shuyu Ren; Ana P Castano; Geoffrey Linn; Jian Li; Phong T Tran; Vivek Kaimal; Xinqiang Huang; Aaron N Chang; Shenyang Li; Aarti Kalra; Monica Grafals; Didier Portilla; Deidre A MacKenna; Stuart H Orkin; Jeremy S Duffield
Journal:  Sci Transl Med       Date:  2012-02-15       Impact factor: 17.956

6.  Expression, circulation, and excretion profile of microRNA-21, -155, and -18a following acute kidney injury.

Authors:  Janani Saikumar; Dana Hoffmann; Tae-Min Kim; Victoria Ramirez Gonzalez; Qin Zhang; Peter L Goering; Ronald P Brown; Vanesa Bijol; Peter J Park; Sushrut S Waikar; Vishal S Vaidya
Journal:  Toxicol Sci       Date:  2012-06-15       Impact factor: 4.849

7.  Systematic analysis of the expression profile of non-coding RNAs involved in ischemia/reperfusion-induced acute kidney injury in mice using RNA sequencing.

Authors:  Jun Zhou; Hongtao Chen; Youling Fan
Journal:  Oncotarget       Date:  2017-10-26

8.  Circulating microRNAs, potential biomarkers for drug-induced liver injury.

Authors:  Kai Wang; Shile Zhang; Bruz Marzolf; Pamela Troisch; Amy Brightman; Zhiyuan Hu; Leroy E Hood; David J Galas
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-25       Impact factor: 11.205

9.  High-throughput assessment of microRNA activity and function using microRNA sensor and decoy libraries.

Authors:  Gavriel Mullokandov; Alessia Baccarini; Albert Ruzo; Anitha D Jayaprakash; Navpreet Tung; Benjamin Israelow; Matthew J Evans; Ravi Sachidanandam; Brian D Brown
Journal:  Nat Methods       Date:  2012-07-01       Impact factor: 28.547

10.  Single Cell Analysis Identifies the miRNA Expression Profile of a Subpopulation of Muscle Precursor Cells Unique to Humans With Type 2 Diabetes.

Authors:  Tora I Henriksen; Sarah E Heywood; Ninna S Hansen; Bente K Pedersen; Camilla C Scheele; Søren Nielsen
Journal:  Front Physiol       Date:  2018-07-11       Impact factor: 4.566

View more
  6 in total

1.  Evaluation Value of Serum miR-4299 and miR-16-5p in Risk Stratification of Sepsis-Induced Acute Kidney Injury.

Authors:  Weiwei Pan; Junfeng Zhang; Luqi Hu; Zhiping Huang
Journal:  Biomed Res Int       Date:  2022-07-08       Impact factor: 3.246

2.  Leveraging metabolic modeling to identify functional metabolic alterations associated with COVID-19 disease severity.

Authors:  L R Dillard; N Wase; G Ramakrishnan; J J Park; N E Sherman; R Carpenter; M Young; A N Donlan; W Petri; J A Papin
Journal:  Metabolomics       Date:  2022-07-11       Impact factor: 4.747

3.  Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival.

Authors:  Leah B Kosyakovsky; Emily Somerset; Angela J Rogers; Michael Sklar; Jared R Mayers; Augustin Toma; Yishay Szekely; Sabri Soussi; Bo Wang; Chun-Po S Fan; Rebecca M Baron; Patrick R Lawler
Journal:  Intensive Care Med Exp       Date:  2022-06-17

4.  Psychological outcomes of COVID-19 survivors at sixth months after diagnose: the role of kynurenine pathway metabolites in depression, anxiety, and stress.

Authors:  Melike Kucukkarapinar; Aysegul Yay-Pence; Yesim Yildiz; Merve Buyukkoruk; Gizem Yaz-Aydin; Tuba S Deveci-Bulut; Ozlem Gulbahar; Esin Senol; Selcuk Candansayar
Journal:  J Neural Transm (Vienna)       Date:  2022-07-07       Impact factor: 3.850

5.  miR-24 targets SARS-CoV-2 co-factor Neuropilin-1 in human brain microvascular endothelial cells: Insights for COVID-19 neurological manifestations.

Authors:  Pasquale Mone; Jessica Gambardella; Xujun Wang; Stanislovas S Jankauskas; Alessandro Matarese; Gaetano Santulli
Journal:  Res Sq       Date:  2021-02-02

6.  Metabolomics analysis reveals a modified amino acid metabolism that correlates with altered oxygen homeostasis in COVID-19 patients.

Authors:  José C Páez-Franco; Jiram Torres-Ruiz; Víctor A Sosa-Hernández; Rodrigo Cervantes-Díaz; Sandra Romero-Ramírez; Alfredo Pérez-Fragoso; David E Meza-Sánchez; Juan Manuel Germán-Acacio; José L Maravillas-Montero; Nancy R Mejía-Domínguez; Alfredo Ponce-de-León; Alfredo Ulloa-Aguirre; Diana Gómez-Martín; Luis Llorente
Journal:  Sci Rep       Date:  2021-03-18       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.