A single-cell CRISPRi platform for characterizing candidate genes relevant to metabolic disorders in human adipocytes-Reference-Cited by-同舟云学术

A single-cell CRISPRi platform for characterizing candidate genes relevant to metabolic disorders in human adipocytes

Published:2023-09-01 Issue:3 Volume:325 Page:C648-C660
ISSN:0363-6143
Container-title:American Journal of Physiology-Cell Physiology
language:en
Short-container-title:American Journal of Physiology-Cell Physiology

Author:

Bielczyk-Maczynska Ewa¹²³^ORCID,Sharma Disha¹³,Blencowe Montgomery⁴,Saliba Gustafsson Peter¹²³⁵,Gloudemans Michael J.⁶⁷,Yang Xia⁴,Carcamo-Orive Ivan¹²³,Wabitsch Martin⁸^ORCID,Svensson Katrin J.²³⁶^ORCID,Park Chong Y.¹³,Quertermous Thomas¹³,Knowles Joshua W.¹²³⁹,Li Jiehan¹²³

Affiliation:

1. Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, United States

2. Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, California, United States

3. Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, California, United States

4. Department of Integrative Biology and Physiology, University of California, Los Angeles, California, United States

5. Cardiovascular Medicine Unit, Department of Medicine, Center for Molecular Medicine at BioClinicum, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden

6. Department of Pathology, Stanford University School of Medicine, Stanford, California, United States

7. Biomedical Informatics Training Program, Stanford, California, United States

8. Department of Pediatrics and Adolescent Medicine, Center for Rare Endocrine Diseases, Division of Pediatric Endocrinology and Diabetes, Ulm University Medical Centre, Ulm, Germany

9. Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, United States

Abstract

Genomics efforts led to the identification of many genomic loci that are associated with metabolic traits, many of which are tied to adipose tissue function. However, determination of the causal genes, and their mechanism of action in metabolism, is a time-consuming process. Here, we use an approach to determine the transcriptional outcome of candidate gene knockdown for multiple genes at the same time in a human cell model of adipogenesis.

Funder

American Diabetes Association

American Heart Association

HHS | NIH | National Heart, Lung, and Blood Institute

HHS | NIH | National Human Genome Research Institute

HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

HHS | NIH | U.S. National Library of Medicine

Hjärt-Lungfonden

Vetenskapsrådet

University of California, Los Angeles

Stanford Graduate Fellowship

Jacob Churg Foundation