GCN1 Knockout HEK293 Cell Line

GCN1 Knockout HEK293 Cell Line
Cat.No.:

EDJ-KQ3286

Species:

Human

Cell Name:

HEK293

Gene:

GCN1

Gene ID:

10985

Size:

1×10⁶cells

GCN1 Knockout Cell Line (HEK293) is an exclusive upgraded CRISPR/Cas9 system-mediated gene knockout cell, with the advantages of Optimized Strategy Design, Efficient Cell Transfection, High-Performance Cas9 Protein and Hassle-Free Cell Selection.
Cat.No. EDJ-KQ3286
Product Name GCN1 Knockout Cell Line (HEK293)
Cell Line HEK293
Cellosaurus ID CVCL_0045
Cell Line Synonyms Hek293, HEK-293, HEK/293, (HEK)293, HEK 293, HEK,293, 293, 293 HEK, 293 Ad5, Graham 293, Graham-293, Human Embryonic Kidney 293
Gene
NCBI Gene ID
Gene Synonyms GCN1L|GCN1L1|PRIC295
Summary
Enables several functions, including protein kinase regulator activity; stalled ribosome sensor activity; and ubiquitin-protein transferase regulator activity. Involved in protein-RNA covalent cross-linking repair. Located in cytosol. Is active in cytosolic ribosome. [provided by Alliance of Genome Resources, Jul 2025]
Associated Diseases Non-tumor
Morphology Adherent
Passage Ratio 1/5,2days
Complete Culture Medium DMEM + 10% FBS
Freezing Medium 95% Complete culture medium+ 5% DMSO
QC Indels validated by Sanger sequencing; sterility confirmed via microbial testing.
* For research use only. Not intended for use in humans or animals, including clinical, therapeutic, or diagnostic purposes.
LociSTR Info (Sample Cell)
Sample Cell Line: HEK293
STR Info (Cell bank)
Cell Line: HEK293
Allele1Allele2Allele1Allele2
Amelogenin X X
CSF1P0 12 11 12
D2S1338 19 19
D3S1358 15 17 15 17
D5S818 8 8 9
D7S820 11 12 11 12
D8S1179 12 14 12 14
D13S317 12 14 12 14
D16S539 9 13 9 13
D18S51 17 18 17 18
D19S433 15 18 15 18
D21S11 28 30.2 28 30.2
FGA 23 23
Penta D 9 10 9 10
Penta E 7 15 7 15
TH01 7 9.3 7 9.3
TPOX 11 11
vWA 16 19 16 19
D6S1043 11 11
D12S391 19 21 11 15
D2S441 11 15 11 15
* STR authentication data of this cell line matches with that of cell lines sourced from ATCC, DSMZ, JCRB, and RIKEN databases.
Conclusion: The STR identification of this cell is correct.
* Research Use Disclaimer: Content is generated from publicly available research data, bioinformatic resources, and computational analyses for research reference only.

Research Publications

IF=32.1
Nature methods
RNAs undergo a complex choreography of metabolic processes that are regulated by thousands of RNA-associated proteins. Here we introduce ReLiC, a scalable and high-throughput RNA-linked CRISPR approach to measure the responses of diverse RNA metabolic processes to knockout of 2,092 human genes encoding all known RNA-associated proteins. ReLiC relies on an iterative strategy to integrate genes encoding Cas9, single-guide RNAs (sgRNAs) and barcoded reporter libraries into a defined genomic locus. Combining ReLiC with polysome fractionation reveals key regulators of ribosome occupancy, uncovering links between translation and proteostasis. Isoform-specific ReLiC captures differential regulation of intron retention and exon skipping by SF3B complex subunits. Chemogenomic ReLiC screens decipher translational regulators upstream of messenger RNA (mRNA) decay and identify a role for the ribosome collision sensor GCN1 during treatment with the anti-leukemic drug homoharringtonine. Our work demonstrates ReLiC as a powerful framework for discovering and dissecting post-transcriptional regulatory networks in human cells.
This KO model may be useful for: - Investigating the role of the ribosome collision sensor GCN1 in mediating translational stress responses triggered by the anti-leukemic drug homoharringtonine - Deciphering chemogenomic interactions between GCN1 and agents that induce ribosome stalling or mRNA decay - Studying the link between ribosome occupancy, proteostasis, and the integrated stress response - Exploring GCN1-dependent regulation of translation under conditions of ribotoxic stress - Functional validation of GCN1 as a target in chemogenomic screens for regulators of mRNA decay

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