Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

PROBER Identifies Proteins Associated with Sequence-Specific DNA in Living Cells

ABSTRACT: DNA-protein interactions mediate physiologic gene regulation and may be altered by DNA variants linked to polygenic disease. To enhance the speed and signal-to-noise ratio (SNR) of identifying and quantifying proteins that associate with specific DNA sequences in living cells, we developed proximal biotinylation by episomal recruitment (PROBER). PROBER uses high copy episomes to amplify SNR along with proximity proteomics (BioID) to identify the transcription factors (TFs) and additional gene regulators associated with short DNA sequences of interest. PROBER quantified steady-state and inducible association of TFs and corresponding chromatin regulators to target DNA sequences as well as binding quantitative trait loci (bQTLs) due to single nucleotide variants. PROBER identified alterations in regulator associations due to cancer hotspot mutations in the hTERT promoter, indicating these mutations increase promoter association with specific gene activators. PROBER provides an approach to rapidly identify proteins associated with specific DNA sequences and their variants in living cells

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Smarajit Mondal

LAB HEAD: Paul Khavari

PROVIDER: PXD032726 | Pride | 2022-07-27

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	20190311_SMondal_Khavari_9739_Exid251_S10.raw	Raw
	20190311_SMondal_Khavari_9739_Exid251_S10.raw_20220318_Byonic.mgf	Mgf
	20190311_SMondal_Khavari_9739_Exid251_S10.raw_20220318_Byonic.mzid.gz	Mzid
	20190311_SMondal_Khavari_9739_Exid251_S11.raw	Raw
	20190311_SMondal_Khavari_9739_Exid251_S11.raw_20220318_Byonic.mgf	Mgf

Items per page:

1 - 5 of 12

Similar Datasets

PROBER Identifies Proteins Associated with Programable Sequence-Specific DNA in Living Cells

Project description:DNA-protein interactions mediate physiologic gene regulation and may be altered by DNA variants linked to polygenic disease. To enhance the speed and signal-to-noise ratio (SNR) of identifying and quantifying proteins that associate with specific DNA sequences in living cells, we developed proximal biotinylation by episomal recruitment (PROBER). PROBER uses high copy episomes to amplify SNR along with proximity proteomics (BioID) to identify the transcription factors (TFs) and additional gene regulators associated with short DNA sequences of interest. PROBER quantified steady-state and inducible association of TFs and corresponding chromatin regulators to target DNA sequences as well as binding quantitative trait loci (bQTLs) due to single nucleotide variants. PROBER identified alterations in regulator associations due to cancer hotspot mutations in the hTERT promoter, indicating these mutations increase promoter association with specific gene activators. PROBER provides an approach to rapidly identify proteins associated with specific DNA sequences and their variants in living cells.

2022-07-27 | PXD029470 | Pride

PROBER Identifies Proteins Associated with Sequence- Specific DNA in Living Cells

Project description:Specific DNA-protein interactions mediate physiologic gene regulation and may be altered by DNA variants linked to polygenic disease. To enhance the speed and signal-to-noise ratio (SNR) of identifying and quantifying proteins associating with specific DNA sequences in living cells, we developed proximal biotinylation by episomal recruitment (PROBER). PROBER uses high copy episomes to amplify SNR along with proximity proteomics (BioID) to identify the transcription factors (TFs) and additional gene regulators associated with DNA sequences of interest. PROBER quantified steady-state and inducible association of TFs and associated chromatin regulators to target DNA sequences and quantified binding quantitative trait loci (bQTLs) due to single nucleotide variants. PROBER identified alterations in gene regulator associations due to cancer hotspot mutations in the hTERT promoter, indicating these mutations increase promoter association with specific gene activators. PROBER offers an approach to rapidly identify proteins associated with specific DNA sequences and their variants in living cells.

2022-07-27 | PXD023732 | Pride

FRET monitoring of transcription factor activities in living bacteria

Project description:Abstract: Bacteria adapt to the constantly changing environments largely by transcriptional regulation through the activities of various transcription factors (TFs). However, techniques that monitor the in situ TF-promoter interactions in living bacteria are lacking. Herein, we developed a whole-cell TF-promoter binding assay based on the intermolecular Förster resonance energy transfer (FRET) between a fluorescent unnatural amino acid CouA which is genetically encoded into defined sites in TFs and the live cell fluorescent nucleic acid stain SYTO 9. We show that this new FRET pair monitors the intricate TF-promoter interactions elicited by various types of signal transduction systems with specificity and sensitivity. Furthermore, the assay is applicable to identify novel modulators of the regulatory systems of interest and monitor TF activities in bacteria colonized in C. elegans. In conclusion, we established a tractable and sensitive TF-promoter binding assay in living bacteria which not only complements currently available approaches for DNA-protein interactions but also provides novel opportunities for functional annotation of bacterial signal transduction systems and studies of the bacteria-host interface

2022-10-13 | PXD030973 | Pride

Transcription factors harbor functional RNA-binding domains

Project description:Transcription factors (TFs) orchestrate the gene expression programs that define each cell’s identity, and the canonical TF accomplishes this with two functional domains1–7. The DNA-binding domain interacts with specific genomic sequences, and the effector domain binds coactivators or co-repressors that contribute to transcriptional regulation. We report here that TFs also frequently contain an RNA-binding domain and that this also contributes to gene regulation. Nearly half of TFs in human cells show evidence of RNA-binding and their affinities for RNA are similar to those of well-studied RNA-binding proteins. The RNA-binding sites of TFs have sequence and functional features analogous to the arginine-rich motif of the HIV transcriptional activator Tat8,9. RNA-binding contributes to TF function by promoting the dynamic association of TFs with chromatin. We conclude that the canonical definition of transcription factors is incomplete, and that the ability of many TFs to bind DNA, RNA and protein is fundamental to gene regulation.

2023-07-02 | PXD035484 | Pride

Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity

Project description:The DNA sequence preferences of the vast majority of eukaryotic transcription factors (TFs) are unknown. Using an approach designed to broadly sample both DNA-binding domain types and eukaryotic clades, we have determined DNA-binding motifs for 1,033 TFs from 131 diverse eukaryotes, encompassing 54 domain types. Closely related orthologs and paralogs typically have very similar sequence preferences; this property allows inference of motifs for roughly one third of the 166,851 known or predicted eukaryotic TFs. While the origins of most motifs can be dated to hundreds of millions of years ago, we also characterize more recent TF expansions. Sequences matching the motifs are enriched upstream of TSS in most eukaryotic lineages, and at informative eQTL SNPs in Arabidopsis promoters, demonstrating their utility in mapping transcriptional networks. The motifs are housed at http://cisbp.ccbr.utoronto.ca Protein binding microarray (PBM) experiments were performed for a set of 1048 diverse eukaryotic transcription factors. Briefly, the PBMs involved binding GST-tagged DNA-binding proteins to two double-stranded 44K Agilent microarrays, each containing a different DeBruijn sequence design, in order to determine their sequence preferences. Details of the PBM protocol are described in Berger et al., Nature Biotechnology 2006.

2014-08-01 | E-GEOD-53348 | biostudies-arrayexpress

A compendium of promoter-centered long-range chromatin interactions in diverse human tissues and cell types

Project description:A large number of genetic variants associated with human diseases are found in non-coding DNA and may contribute to illness by affecting gene regulation, but mechanistic study of these variants has been hindered by a lack of information of their potential regulatory targets. In order to overcome this limitation, we generate maps of long-range chromatin interactions centered on 19,539 promoters in 27 human cell/tissue types, and use this information to infer putative target genes of candidate cis-regulatory sequences throughout the human genome. In additional to known enhancer-promoter interactions, we also confirm widespread promoter-promoter interactions and obtain evidence suggesting enhancer-like function for many promoter regions. These promoter-centered chromatin interaction maps corroborate target genes of genetic variants defined in previous genome-wide association studies, predict new target genes of many disease-associated genetic variants, and contribute novel insights into a broad spectrum of human traits and diseases.

2019-07-31 | GSE86189 | GEO

Transcription factor trapping by RNA in gene regulatory elements (GRO-Seq)

Project description:Transcription factors (TFs) bind specific sequences in promoter-proximal and distal DNA elements in order to regulate gene transcription. RNA is transcribed from both promoter-proximal and distal DNA elements, and some DNA-binding TFs have also been shown to bind RNA. These obsevations led us to postulate that RNA transcribed from regulatory elements contributes to stable TF occupancy at these regulatory elements. We show here that the ubiquitously expressed TF YY1 binds to both proximal and distal regulatory elements and to the RNA species associated with these elements near active genes in embryonic stem cells. Inhibition of transcription from these elements reduces YY1 occupancy. In contrast, tethering of RNA species near YY1 DNA binding sites enhances YY1 occupancy. We propose that RNA acts as trap to maintain certain TFs at active enhancer and promoter-proximal regulatory elements. Thus, transcriptional control generally involves a positive feedback loop, where YY1 and other TFs stimulate local transcription, and newly transcribed nascent RNA reinforces local TF occupancy. This model helps explain why TFs occupy only the small fraction of their consensus motifs in the mammalian genome where transcription is detected. GRO-Seq in mouse embryonic stem cells treated with transcription-altering drugs

2015-10-29 | E-GEOD-68197 | biostudies-arrayexpress

Transcription factor trapping by RNA in gene regulatory elements (CLIP-Seq)

2015-10-29 | E-GEOD-68196 | biostudies-arrayexpress

Transcription factor trapping by RNA in gene regulatory elements (ChIP-Seq)

Project description:Transcription factors (TFs) bind specific sequences in promoter-proximal and distal DNA elements in order to regulate gene transcription. RNA is transcribed from both promoter-proximal and distal DNA elements, and some DNA-binding TFs have also been shown to bind RNA. These obsevations led us to postulate that RNA transcribed from regulatory elements contributes to stable TF occupancy at these regulatory elements. We show here that the ubiquitously expressed TF YY1 binds to both proximal and distal regulatory elements and to the RNA species associated with these elements near active genes in embryonic stem cells. Inhibition of transcription from these elements reduces YY1 occupancy. In contrast, tethering of RNA species near YY1 DNA binding sites enhances YY1 occupancy. We propose that RNA acts as trap to maintain certain TFs at active enhancer and promoter-proximal regulatory elements. Thus, transcriptional control generally involves a positive feedback loop, where YY1 and other TFs stimulate local transcription, and newly transcribed nascent RNA reinforces local TF occupancy. This model helps explain why TFs occupy only the small fraction of their consensus motifs in the mammalian genome where transcription is detected. Affinity purification (ChIP-Seq) for YY1 in mouse embryonic stem cells treated with transcription-affecting compounds

2015-05-28 | E-GEOD-68195 | biostudies-arrayexpress

Transcription factor trapping by RNA in gene regulatory elements (RNA-Seq)

Project description:Transcription factors (TFs) bind specific sequences in promoter-proximal and distal DNA elements in order to regulate gene transcription. RNA is transcribed from both promoter-proximal and distal DNA elements, and some DNA-binding TFs have also been shown to bind RNA. These obsevations led us to postulate that RNA transcribed from regulatory elements contributes to stable TF occupancy at these regulatory elements. We show here that the ubiquitously expressed TF YY1 binds to both proximal and distal regulatory elements and to the RNA species associated with these elements near active genes in embryonic stem cells. Inhibition of transcription from these elements reduces YY1 occupancy. In contrast, tethering of RNA species near YY1 DNA binding sites enhances YY1 occupancy. We propose that RNA acts as trap to maintain certain TFs at active enhancer and promoter-proximal regulatory elements. Thus, transcriptional control generally involves a positive feedback loop, where YY1 and other TFs stimulate local transcription, and newly transcribed nascent RNA reinforces local TF occupancy. This model helps explain why TFs occupy only the small fraction of their consensus motifs in the mammalian genome where transcription is detected. RNA-Seq in mouse embryonic stem cells before and after knockdown of exosome protein

2015-10-29 | E-GEOD-73859 | 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