Literature DB >> 34140401

Current Methodological Challenges of Single-Cell and Single-Nucleus RNA-Sequencing in Glomerular Diseases.

Dries Deleersnijder1,2, Jasper Callemeyn2,3, Ingrid Arijs4,5, Maarten Naesens2,3, Amaryllis H Van Craenenbroeck2,3, Diether Lambrechts4,5, Ben Sprangers6,2.   

Abstract

Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA-seq (snRNA-seq) allow transcriptomic profiling of thousands of cells from a renal biopsy specimen at a single-cell resolution. Both methods are promising tools to unravel the underlying pathophysiology of glomerular diseases. This review provides an overview of the technical challenges that should be addressed when designing single-cell transcriptomics experiments that focus on glomerulopathies. The isolation of glomerular cells from core needle biopsy specimens for single-cell transcriptomics remains difficult and depends upon five major factors. First, core needle biopsies generate little tissue material, and several samples are required to identify glomerular cells. Second, both fresh and frozen tissue samples may yield glomerular cells, although every experimental pipeline has different (dis)advantages. Third, enrichment for glomerular cells in human tissue before single-cell analysis is challenging because no effective standardized pipelines are available. Fourth, the current warm cell-dissociation protocols may damage glomerular cells and induce transcriptional artifacts, which can be minimized by using cold dissociation techniques at the cost of less efficient cell dissociation. Finally, snRNA-seq methods may be superior to scRNA-seq in isolating glomerular cells; however, the efficacy of snRNA-seq on core needle biopsy specimens remains to be proven. The field of single-cell omics is rapidly evolving, and the integration of these techniques in multiomics assays will undoubtedly create new insights in the complex pathophysiology of glomerular diseases.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  glomerular disease; molecular biology; renal cell biology; transcriptional profiling

Mesh:

Substances:

Year:  2021        PMID: 34140401      PMCID: PMC8455274          DOI: 10.1681/ASN.2021020157

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  100 in total

1.  Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.

Authors:  Allon M Klein; Linas Mazutis; Ilke Akartuna; Naren Tallapragada; Adrian Veres; Victor Li; Leonid Peshkin; David A Weitz; Marc W Kirschner
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

2.  High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin.

Authors:  Kaia Achim; Jean-Baptiste Pettit; Luis R Saraiva; Daria Gavriouchkina; Tomas Larsson; Detlev Arendt; John C Marioni
Journal:  Nat Biotechnol       Date:  2015-04-13       Impact factor: 54.908

3.  Psychrophilic proteases dramatically reduce single-cell RNA-seq artifacts: a molecular atlas of kidney development.

Authors:  Mike Adam; Andrew S Potter; S Steven Potter
Journal:  Development       Date:  2017-08-29       Impact factor: 6.868

4.  Immune cell landscaping reveals a protective role for regulatory T cells during kidney injury and fibrosis.

Authors:  Fernanda do Valle Duraes; Armelle Lafont; Martin Beibel; Kea Martin; Katy Darribat; Rachel Cuttat; Annick Waldt; Ulrike Naumann; Grazyna Wieczorek; Swann Gaulis; Sabina Pfister; Kirsten D Mertz; Jianping Li; Guglielmo Roma; Max Warncke
Journal:  JCI Insight       Date:  2020-02-13

5.  Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.

Authors:  Darren A Cusanovich; Riza Daza; Andrew Adey; Hannah A Pliner; Lena Christiansen; Kevin L Gunderson; Frank J Steemers; Cole Trapnell; Jay Shendure
Journal:  Science       Date:  2015-05-07       Impact factor: 47.728

6.  Single-Cell Transcriptome Profiling of the Kidney Glomerulus Identifies Key Cell Types and Reactions to Injury.

Authors:  Jun-Jae Chung; Leonard Goldstein; Ying-Jiun J Chen; Jiyeon Lee; Joshua D Webster; Merone Roose-Girma; Sharad C Paudyal; Zora Modrusan; Anwesha Dey; Andrey S Shaw
Journal:  J Am Soc Nephrol       Date:  2020-07-10       Impact factor: 10.121

Review 7.  Integrative single-cell analysis.

Authors:  Tim Stuart; Rahul Satija
Journal:  Nat Rev Genet       Date:  2019-05       Impact factor: 53.242

8.  HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes.

Authors:  Jamie L Marshall; Benjamin R Doughty; Vidya Subramanian; Philine Guckelberger; Qingbo Wang; Linlin M Chen; Samuel G Rodriques; Kaite Zhang; Charles P Fulco; Joseph Nasser; Elizabeth J Grinkevich; Teia Noel; Sarah Mangiameli; Drew T Bergman; Anna Greka; Eric S Lander; Fei Chen; Jesse M Engreitz
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-21       Impact factor: 12.779

9.  A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys.

Authors:  Blue B Lake; Song Chen; Masato Hoshi; Nongluk Plongthongkum; Diane Salamon; Amanda Knoten; Anitha Vijayan; Ramakrishna Venkatesh; Eric H Kim; Derek Gao; Joseph Gaut; Kun Zhang; Sanjay Jain
Journal:  Nat Commun       Date:  2019-06-27       Impact factor: 14.919

10.  LIM-Nebulette Reinforces Podocyte Structural Integrity by Linking Actin and Vimentin Filaments.

Authors:  Xuhua Ge; Tao Zhang; Xiaoxia Yu; Alecia N Muwonge; Nanditha Anandakrishnan; Nicholas J Wong; Jonathan C Haydak; Jordan M Reid; Jia Fu; Jenny S Wong; Smiti Bhattacharya; Christina M Cuttitta; Fang Zhong; Ronald E Gordon; Fadi Salem; William Janssen; James C Hone; Aihua Zhang; Hong Li; John C He; G Luca Gusella; Kirk N Campbell; Evren U Azeloglu
Journal:  J Am Soc Nephrol       Date:  2020-07-31       Impact factor: 10.121

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  3 in total

Review 1.  Monocytes and Macrophages in Kidney Transplantation and Insights from Single Cell RNA-Seq Studies.

Authors:  Andrew F Malone
Journal:  Kidney360       Date:  2021-08-17

2.  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

Review 3.  Using Imaging Mass Cytometry to Define Cell Identities and Interactions in Human Tissues.

Authors:  Vijayakumar R Kakade; Marlene Weiss; Lloyd G Cantley
Journal:  Front Physiol       Date:  2021-12-22       Impact factor: 4.566

  3 in total

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