Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Massively parallel saturation genome editing of an essential mitochondrial targeting sequence (Tn5)

ABSTRACT: We employed saturation genome editing (SGE) to assess the functional consequences of synonymous, missense, and nonsense variants across KARS1 exon 2. Deep DNA sequencing of fixed-amplicon PCR products targeting the endogenous KARS1 Exon 2 locus was used to determine variant frequencies as part of a larger study to identify a set of reproducible enrichment scores indicating effects of variants on KARS1 function.

ORGANISM(S): Homo sapiens

PROVIDER: GSE232151 | GEO | 2024/05/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Massively parallel saturation genome editing of an essential mitochondrial targeting sequence (TileSeq)

Project description:We employed saturation genome editing (SGE) to assess the functional consequences of synonymous, missense, and nonsense variants across KARS1 exon 2. Deep DNA sequencing of fixed-amplicon PCR products targeting the endogenous KARS1 Exon 2 locus was used to determine variant frequencies as part of a larger study to identify a set of reproducible enrichment scores indicating effects of variants on KARS1 function.

2024-05-31 | GSE232150 | GEO

Massively parallel saturation genome editing of an essential mitochondrial targeting sequence (Tn5)

Project description:Massively parallel saturation genome editing of an essential mitochondrial targeting sequence (Tn5)

| PRJNA971138 | ENA

Saturation genome editing of 11 codons and exon 13 of BRCA2 determines pathogenicity of variants

Project description:The pathogenicity of majority of variants identified in cancer-causing genes is unknown due to limited epidemiological data, hence they are considered to be variant of uncertain significance (VUS). To date, Breast Cancer gene-2 (BRCA2) has the highest number of VUSs, which has necessitated the development of several robust functional assays to determine their functional significance. Here we report the use of a humanized-mouse embryonic stem cell (mESC) line expressing a single copy of the human BRCA2 for a CRISPR-Cas9-based high-throughput functional assay. As a proof-of-principle, we have saturated 11 codons encoded by BRCA2 exons 3, 18, 19 and all possible single-nucleotide variants in exon 13 and multiplexed these variants for their functional categorization. Specifically, we used a pool of 180-mer single-stranded donor DNA to generate all possible combination of variants. Using a high throughput sequencing-based approach, we show a significant drop in the frequency of non-functional variants, whereas functional variants are enriched in the pool of the cells. We further demonstrate that variants with partial loss of BRCA2 function are sensitive to the DNA-damaging agents, cisplatin and olaparib, allowing us to discriminate between functional and intermediate variants. We have categorized 599 BRCA2 variants including 93-single nucleotide variants (SNVs) across the 11 codons, of which 28 are reported in ClinVar. We also functionally categorized 252 SNVs from exon 13 into 188 functional, 60 non-functional and 4 intermediate variants, demonstrating that saturation genome editing (SGE) coupled with drug sensitivity assays can enhance functional annotation of BRCA2 VUS.

2023-08-30 | GSE238143 | GEO

Saturation genome Editing of BRCA2 variants from C-terminal DNA binding domain

Project description:Accurate interpretation of genetic variation is a critical step towards realizing the potential of precision medicine. Sequencing-based genetic tests have uncovered a vast array ofBRCA2sequence variants. Due to limited clinical, familial and/or epidemiological data, thousands of variants are considered to be variants of uncertain significance (VUS). Here we have utilized CRISPR-Cas9-based saturation genome editing (SGE) in a humanized-mouse embryonic stem cell line. We have categorized nearly all possible missense single nucleotide variants (SNVs) encompassing the C-terminal DNA binding domain ofBRCA2.We have generated the function scores for 6270 SNVs, covering 95.5% of possible SNVs in exons 15-26 spanning residues 2479-3216, including 1069 unique missense VUS, with 81% functional and 14% found to be nonfunctional. Our classification aligns strongly with pathogenicity data from ClinVar, orthogonal functional assays and computational meta predictors. Our statistical classifier exhibits 92.2% sensitivity and 96% specificity in distinguishing clinically benign and pathogenic variants recorded in ClinVar. Furthermore, we offer proactive evidence for 617 SNVs being non-functional and 3396 SNVs being functional demonstrated by impact on cell growth and response to DNA-damaging drugs like cisplatin and olaparib. This classification serves as a valuable resource for interpreting unidentified variants in the population and for physicians and genetic counselors assessingBRCA2VUSs in patients.

2024-09-27 | GSE248438 | GEO

Massively parallel saturation genome editing of an essential mitochondrial targeting sequence

Project description:Massively parallel saturation genome editing of an essential mitochondrial targeting sequence

| PRJNA971131 | ENA

Accurate classification of BRCA1 variants with saturation genome editing

Project description:We describe the use of saturation genome editing to make and measure the effect of BRCA1 variants on protein function and splicing. We find the results accurately predict the clinical effects of variants.

2018-08-01 | GSE117159 | GEO

Massively parallel saturation genome editing of an essential mitochondrial targeting sequence (TileSeq)

Project description:Massively parallel saturation genome editing of an essential mitochondrial targeting sequence (TileSeq)

| PRJNA971135 | ENA

Saturation mutagenesis reveals manifold determinants of exon definition

Project description:Saturation mutagenesis reveals manifold determinants of exon definition

| PRJNA415408 | ENA

High-throughput splicing assays identify missense and silent splice-disruptive POU1F1 variants underlying pituitary hormone deficiency

Project description:Using a high throughput splicing reporter assay, we tested 1,080 single nucleotide variants in POU1F1, a key transcription factor essential for pituitary development. Our saturation splicing effect map identifies 96 splice disruptive variants, including 14 synonymous variants, of which 8 were found in unrelated patients diagnosed with hypopituitarism.

2021-04-22 | GSE172504 | GEO

Massively parallel quantification of the regulatory effects of non-coding genetic variation [STARR-seq]

Project description:We report a novel high-throughput method to empirically quantify individual-specific regulatory element activity at the population scale. The approach combines targeted DNA capture with a high-throughput reporter-gene expression assay. As demonstration, we have measured the activity of more than 100 putative regulatory elements from 95 individuals in a single experiment. We found that, in agreement with previous reports, most genetic variants have weak effects on distal regulatory element activity. Because haplotypes are typically maintained within but not between assayed regulatory elements, the approach can be used to identify likely causal regulatory haplotypes that contribute to human phenotypes. Finally, we demonstrate the utility of the method to functionally fine map causal regulatory variants in regions of high linkage disequilibrium identified by expression quantitative trait loci (eQTL) analyses. 104 candidate regulatory elements from 95 individuals were resequenced using Illumina custom amplicon sequencing. We then cloned the resulting DNA fragments into a massively parallel reporter assay to quantify allele-specific regulatory activity from that population. SNP-fdr.txt contains output of significance evaluation haplotype.fasta.gz contains the reference used to generate alignment files

2015-06-15 | E-GEOD-68331 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data