Literature DB >> 33476038

The study of single cells in diabetic kidney disease.

Harmandeep Kaur1, Andrew Advani2.   

Abstract

In the past few years there has been a rapid expansion of interest in the study of single cells, especially through the new techniques that involve single-cell RNA sequencing (scRNA-seq). Recently, these techniques have provided new insights into kidney health and disease, including insights into diabetic kidney disease (DKD). However, despite the interest and the technological advances, the study of individual cells in DKD is not a new concept. Many clinicians and researchers who work within the DKD space may be familiar with experimental techniques that actually involve the study of individual cells, but may be unfamiliar with newer scRNA-seq technology. Here, with the goal of improving accessibility to the single-cell field, we provide a primer on single-cell studies with a focus on DKD. We situate the technology in its historical context and provide a brief explanation of the common aspects of the different technologies available. Then we review some of the most important recent studies of kidney (patho)biology that have taken advantage of scRNA-seq techniques, before emphasizing the new insights into the molecular pathogenesis of DKD gleaned with these techniques. Finally, we highlight common pitfalls and limitations of scRNA-seq methods and we look toward the future to how single-cell experiments may be incorporated into the study of DKD and how to interpret the findings of these experiments.
© 2021. Italian Society of Nephrology.

Entities:  

Keywords:  Diabetic kidney disease; Genomics; RNA; Single-cell; Transcriptomics

Mesh:

Year:  2021        PMID: 33476038     DOI: 10.1007/s40620-020-00964-1

Source DB:  PubMed          Journal:  J Nephrol        ISSN: 1121-8428            Impact factor:   3.902


  61 in total

Review 1.  Transcription goes digital.

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Journal:  EMBO Rep       Date:  2012-04-02       Impact factor: 8.807

2.  The transcriptional landscape of the yeast genome defined by RNA sequencing.

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Review 3.  Technological Advances in Multiscale Analysis of Single Cells in Biomedicine.

Authors:  Jacky Fong-Chuen Loo; Ho Pui Ho; Siu Kai Kong; Tza-Huei Wang; Yi-Ping Ho
Journal:  Adv Biosyst       Date:  2019-09-11

4.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

Review 5.  Update on Diabetic Nephropathy: Core Curriculum 2018.

Authors:  Kausik Umanath; Julia B Lewis
Journal:  Am J Kidney Dis       Date:  2018-02-03       Impact factor: 8.860

6.  Glomerular epithelial foot processes in normal man and rats. Distribution of true width and its intra- and inter-individual variation.

Authors:  H J Gundersen; T Seefeldt; R Osterby
Journal:  Cell Tissue Res       Date:  1980       Impact factor: 5.249

Review 7.  Diabetic glomerulopathy. Structural characteristics of the early and advanced stages.

Authors:  R Osterby; H J Gundersen; A Hørlyck; J P Kroustrup; G Nyberg; G Westberg
Journal:  Diabetes       Date:  1983-05       Impact factor: 9.461

8.  Association of Elevated Urinary miR-126, miR-155, and miR-29b with Diabetic Kidney Disease.

Authors:  Cristina Beltrami; Kate Simpson; Mark Jesky; Alexa Wonnacott; Christopher Carrington; Peter Holmans; Lucy Newbury; Robert Jenkins; Thomas Ashdown; Colin Dayan; Simon Satchell; Peter Corish; Paul Cockwell; Donald Fraser; Timothy Bowen
Journal:  Am J Pathol       Date:  2018-07-06       Impact factor: 4.307

9.  Identification of cross-species shared transcriptional networks of diabetic nephropathy in human and mouse glomeruli.

Authors:  Jeffrey B Hodgin; Viji Nair; Hongyu Zhang; Ann Randolph; Raymond C Harris; Robert G Nelson; E Jennifer Weil; James D Cavalcoli; Jignesh M Patel; Frank C Brosius; Matthias Kretzler
Journal:  Diabetes       Date:  2012-11-08       Impact factor: 9.461

10.  Enhanced expression of Janus kinase-signal transducer and activator of transcription pathway members in human diabetic nephropathy.

Authors:  Celine C Berthier; Hongyu Zhang; MaryLee Schin; Anna Henger; Robert G Nelson; Berne Yee; Anissa Boucherot; Matthias A Neusser; Clemens D Cohen; Christin Carter-Su; Lawrence S Argetsinger; Maria P Rastaldi; Frank C Brosius; Matthias Kretzler
Journal:  Diabetes       Date:  2008-11-18       Impact factor: 9.461

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  1 in total

1.  High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways.

Authors:  Jamie L Marshall; Teia Noel; Qingbo S Wang; Haiqi Chen; Evan Murray; Ayshwarya Subramanian; Katherine A Vernon; Silvana Bazua-Valenti; Katie Liguori; Keith Keller; Robert R Stickels; Breanna McBean; Rowan M Heneghan; Astrid Weins; Evan Z Macosko; Fei Chen; Anna Greka
Journal:  iScience       Date:  2022-03-16
  1 in total

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