Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2023 Sep 4;9:331. doi: 10.1038/s41420-023-01630-8

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2023, corrected publication 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Fig. 1 — a General workflow of the CRISPR/Cas9 knockout library screening in this study. b Venn diagrams displaying CRISPR screening results. There were 70 significantly expressed resistance inducers, defined as P < 0.05 and 9 top resistance inducers, defined as P < 0.01 when intersecting HepG2 and SK-Hep-1 cell lines. c Nine top resisters identified as candidate genes of the screening. d, e KEGG enrichment analyses for significant gene hits in HepG2 cells and SK-HEP-1 cells. f, g The synergistic or suppressing effects on drug treatment were determined using the DrugZ algorithm and NormZ scores. The abundance of sgRNAs as the readout of library screening was analyzed using Bowtie2. CRTC3 was a significant depleted gene hit in both cell lines. The amount of sgRNA targeting CRTC3 was markedly decreased in CRTC3-KO HCC cells when treated with IFN-γ, compared to the control (T1).