Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
Single cell RNA sequencing (scRNA-seq) allows to uncover cellular heterogeneity and the identification of novel subpopulations. In non-alcoholic steatohepatitis (NASH), scRNA-seq is particularly powerful to understand non-parenchymal cell heterogeneity in the liver, e.g. for inflammatory cells. Myeloid immune cells, particularly macrophages, play a critical role in response of the innate immune system and significantly contribute to the progression of fatty liver disease. Due to their high heterogeneity and complex phenotypes, their functional role in health and disease is difficult to analyze. Here, we describe the isolation and analysis of myeloid cell populations from mouse liver using microdroplet-based scRNA-seq. This approach allows the identification and characterization of different hepatic cell types, exemplified here by hepatic macrophage populations, as well as analyses of differentially expressed genes between samples (e.g., cells from healthy or NASH livers).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/978-1-0716-2128-8_15 | DOI Listing |