Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 144
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 144
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 212
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3106
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can address the challenge of cellular heterogeneity. In the last decade, the cost per cell has been dramatically reduced, and the throughput has been increased by 10-fold. Like many other tissues, the retina is highly heterogeneous with an estimated of over 100 subtypes of neuronal cells. Here, we describe the current techniques to perform scRNA-seq on the adult retinal tissue including retinal dissection, retinal dissociation, assessment of cell population, cDNA synthesis, library construction, and next-generation sequencing. In addition, we introduce a workflow of scRNA-seq data analysis using open-source tools.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/978-1-0716-0175-4_12 | DOI Listing |
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