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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Precise modulation of transcription factor levels identifies features underlying dosage sensitivity

Authors: Sahin;

Precise modulation of transcription factor levels identifies features underlying dosage sensitivity

Abstract

Processed data and code for "Precise modulation of transcription factor levels reveals drivers of dosage sensitivity," Naqvi et al 2022. Count/expression data all.sub.150bpclust.greater2.500bp.merge.ATAC.counts.fulldep.3h.24h.txt.gz - ATAC-seq counts from all samples (SOX9 titration and depletion) over all reproducible ATAC-seq peak regions all.sub.150bpclust.greater2.500bp.merge.k27ac.txt.gz - H3K27ac ChIP-seq counts from SOX9 depletion samples over all reproducible peak regions all.sub.150bpclust.greater2.500bp.merge.SOX9titr.V5.counts.txt.gz - V5 (SOX9) ChIP-seq counts from partial SOX9 titration (100%, 60%, 30%, 0%) over all reproducible peak regions all.sub.150bpclust.greater2.500bp.merge.SOX9titr.TWIST1.in.counts.tab.txt.gz - TWIST1 and input ChIP-seq counts from partial SOX9 titration (100%, 60%, 30%, 0%) over all reproducible peak regions rna.salmon.7rep.txi.counts.txt.gz - RNA-seq counts from SOX9 titration samples rna.salmon.7rep.txi.abundance.txt.gz - RNA-seq TPM values from SOX9 titration samples slam.tcreadcount.txt.gz - SLAM-seq T-C conversion-containing read counts (representing newly transcribed mRNAs) from SOX9 depletion samples slam.readcount.txt.gz - SLAM-seq read counts (representing all mRNAs) from SOX9 depletion samples Metadata all.protcod.gene.features.txt.gz - Features of interest for all protein-coding genes all.sub.150bpclust.greater2.500bp.merge.features.txt.gz - Features of interest for all reproducible peak regions atac_depletion_3h_24h_design.txt - design matrix for ATAC-seq SOX9 depletion samples atac_titration_48h_design.txt - design matrix for ATAC-seq SOX9 titration samples Homo_sapiens.GRCh38.cdna.all.txid2gene.id.symbol.type.txt.gz - Ensembl transcript types (for filtering to protein-coding genes in various analyses) k27_depletion_3h_24h_design.txt - design matrix for H3K27ac ChIP-seq SOX9 depletion samples v5_sox9titration_design.txt - design matrix for V5 (SOX9) ChIP-seq SOX9 partial titration samples twist1_sox9titration_design.txt - design matrix for TWIST1 ChIP-seq SOX9 partial titration samples rna_titration_48h_design.txt - design matrix for RNA-seq SOX9 titration samples slam_depletion_3h_24h_design.txt - design matrix for SLAM-seq SOX9 depletion samples facialgwas_snpia_ld0.5.hg38.bed - SNPs in LD (r2 > 0.5) with any of the facial GWAS lead SNPs in Supplementary Table 2 of Naqvi, Hoskens, et al, Annu Rev. Hum Genet. Genom. 2022. facialgwas_prsendo_7e5_either_snpia_ld0.5.hg38.bed - SNPs in LD (r2 > 0.5) with the subset of the same facial GWAS SNPs that show significant (p-value < 7e-05, ~corresponding to Bonferonni-corrected p-value of 0.01) association with the PRS endophenotype GWAS in either US or UK cohort. Scripts atac_deseq_fitmodels_bs_parallel.R - R code for fitting bootstrapped Hill equations to all SOX9-dependent REs (computationally intensive, so has been coded for parallelization over multiple cores) Input: all.sub.150bpclust.greater2.500bp.merge.ATAC.counts.fulldep.3h.24h.txt.gz, atac_titration_48h_design.txt Output: enh_linear_sig_aic_bsmat.txt, enh_linear_sig_aic_bsmat_enhind.txt atac_deseq_fitmodels.R - R code for fitting Hill equations (no bootstrap) to all SOX9-dependent REs Input: all.sub.150bpclust.greater2.500bp.merge.ATAC.counts.fulldep.3h.24h.txt.gz, atac_titration_48h_design.txt Output: enh_linear_sig_aic.rds atac_k27_depletion_deseq.R - R code for DESeq2 analysis of ATAC and H3K27ac ChIP SOX9 depletion (3h and 24h) Input: all.sub.150bpclust.greater2.500bp.merge.ATAC.counts.fulldep.3h.24h.txt.gz, all.sub.150bpclust.greater2.500bp.merge.k27ac.txt.gz, atac_depletion_3h_24h_design.txt Output: atac_depletion_3h_24h_deseq.txt, k27_depletion_3h_24h_deseq.txt v5_twist1_sox9titration_deseq.R - R code for DESeq2 analysis of V5 (SOX9) and TWIST1 ChIP in partial SOX9 titration (100%, 60%, 30%, 0%) Input: all.sub.150bpclust.greater2.500bp.merge.SOX9titr.V5.counts.txt.gz, all.sub.150bpclust.greater2.500bp.merge.SOX9titr.TWIST1.in.counts.tab.txt.gz, v5_sox9titration_design.txt, twist1_sox9titration_design.txt Output: v5_sox9titration_deseq.txt, twist1_sox9titration_deseq.txt drm.R - Modified version of code from drc() package to prevent errors, install drc() with this version to avoid errors group_comparisons.Rmd - R code to compare computed parameters (i.e. ED50, Hill) between sets of REs/genes utilizing bootstrap information Input: enh_linear_sig_aic_bsmat_enhind.txt, enh_linear_sig_aic_bsmat.txt.gz, enh_linear_sig_aic.rds, gene_linear_sig_aic_bsmat_enhind.txt, gene_linear_sig_aic_bsmat.txt.gz, gene_linear_sig_aic.rds, all.sub.150bpclust.greater2.500bp.merge.features.txt.gz, all.protcod.gene.features.txt.gz Uses: summarize_bs_helper.R plot_re_gene_fits.Rmd - R code for plotting individual RE/gene counts and Hill/linear fits Input: all.sub.150bpclust.greater2.500bp.merge.ATAC.counts.fulldep.3h.24h.txt.gz, atac_titration_48h_design.txt, rna.salmon.7rep.txi.counts.txt.gz, rna.salmon.7rep.txi.abundance.txt.gz, rna_titration_48h_design.txt rna_deseq_fitmodels_bs_parallel.R - R code for fitting bootstrapped Hill equations to all SOX9-dependent genes (computationally intensive, so has been coded for parallelization over multiple cores) Input: rna.salmon.7rep.txi.counts.txt.gz, rna.salmon.7rep.txi.abundance.txt.gz, rna_titration_48h_design.txt Output: gene_linear_sig_aic_bsmat.txt, gene_linear_sig_aic_bsmat_enhind.txt rna_deseq_fitmodels.R - R code for fitting Hill equations (no bootstrap) to all SOX9-dependent genes Input: rna.salmon.7rep.txi.counts.txt.gz, rna.salmon.7rep.txi.abundance.txt.gz, rna_titration_48h_design.txt Output: gene_linear_sig_aic.rds slam_depletion_deseq.R - R code for DESeq2/sva analysis of SLAM-seq SOX9 depletion (3h and 24h) Input: slam.tcreadcount.txt.gz, slam_depletion_3h_24h_design.txt Output: slam_depletion_3h_24h_deseq.txt summarize_bs_helper.R - Helper functions for group_comparisons.Rmd Intermediate/output files (some files are gzipped to save space, the Rscripts that output them won't gzip but they expect gzipped input when indicated) atac_depletion_3h_24h_deseq.txt.gz - DESeq2 output of ATAC SOX9 depletion (3h and 24h) enh_linear_sig_aic_bsmat_enhind.txt - index to name file for SOX9-dependent RE bootstrap output enh_linear_sig_aic_bsmat.txt.gz - SOX9-dependent RE bootstrap output enh_linear_sig_aic.rds - Parameters from Hill equation fit on all SOX9-dependent REs (no bootstrap) (RDS file) gene_linear_sig_aic_bsmat_enhind.txt - index to name file for SOX9-dependent gene bootstrap output gene_linear_sig_aic_bsmat.txt.gz - SOX9-dependent gene bootstrap output gene_linear_sig_aic.rds - Parameters from Hill equation fit on all SOX9-dependent gene (no bootstrap) (RDS file) k27_depletion_3h_24h_deseq.txt.gz - DESeq2 output of H3K27ac ChIP-seq SOX9 depletion (3h and 24h) slam_depletion_3h_24h_deseq.txt.gz - DESeq2 output of SLAM-seq SOX9 depletion (3h and 24h) v5_sox9titration_deseq.txt.gz - DESeq2 output of V5 (SOX9) ChIP-seq in partial SOX9 titration (100%, 60%, 30%, 0%) twist1_sox9titration_deseq.txt.gz - DESeq2 output of TWIS1 ChIP-seq in partial SOX9 titration (100%, 60%, 30%, 0%) chromatin_predictions.tar.gz (self-contained folder for chromatin-based predictions of gene expression change) contains: ABC_6conc.sh - Bash script to calculate predicted gene expression change based on ATAC-seq fold-change at each of five SOX9 concentrations (warning: creates a number of very large additional intermediate output files). Requires as input all files in this folder except for all.sub.150bpclust.greater2.500bp.merge.ABC.5Mb.power-0.7.norm.6conc.all.total.txt all.sub.150bpclust.greater2.500bp.merge.ABC.5Mb.power-0.7.norm.6conc.all.total.txt - ATAC-based predicted fold-change of all genes each of five SOX9 concentrations (78, 52, 25, 8, 0, in that order), relative to 100% SOX9 all.sub.150bpclust.greater2.500bp.merge.ATAC.DMSO.counts.txt - ATAC-seq counts over all reproducible peak regions in updepleted samples all.sub.150bpclust.greater2.500bp.merge.bed - bed file of all reproducible peak regions all.sub.150bpclust.greater2.500bp.merge.deseq.allconc.lfc.txt - DESeq2 output from ATAC SOX9 titration, comparing each lowered SOX9 concentration to 100% SOX9 all.sub.150bpclust.greater2.500bp.merge.k27ac.dmso.counts.txt - H3K27ac ChIP-seq counts over all reproducible peak regions in updepleted samples hg38_refGene_TSS_collapsed.bed - collapsed TSSs for all genes hg38.genome - genome file

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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