High-throughput transcriptomics platform for screening hepatotoxicants
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ABSTRACT:
PROVIDER: PRJNA638385 | ENA |
REPOSITORIES: ENA
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Project description:We introduce a new high-throughput transcriptomics (HTTr) platform comprised of a collagen sandwich primary rat hepatocyte culture and the TempO-Seq assay for screening and prioritizing potential hepatotoxicants. We selected 14 chemicals based on their risk of drug-induced liver injury (DILI) and tested them in hepatocytes at two treatment concentrations. HTTr data was generated using the TempO-Seq whole transcriptome and S1500+ assays. The HTTr platform exhibited high reproducibility between technical replicates (r>0.9) but biological replication was greater for TempO-Seq S1500+ (r>0.85) than for the whole transcriptome (r>0.7). Reproducibility between biological replicates was dependent on the strength of transcriptional effects induced by a chemical treatment. Despite targeting a smaller number of genes, the S1500+ assay clustered chemical treatments and produced gene set enrichment analysis (GSEA) scores comparable to those of the whole transcriptome. Connectivity mapping showed a high-level of reproducibility between TempO-Seq data and Affymetrix GeneChip data from the Open TG-GATES project with high concordance between the S1500+ gene set and whole transcriptome. Taken together, our results provide guidance on selecting the number of technical and biological replicates and support the use of TempO-Seq S1500+ assay for a high-throughput platform for screening hepatotoxicants.
2021-09-01 | GSE152128 | GEO
Project description:High-Throughput Transcriptomics Platform for Screening Environmental Chemicals
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Project description:New approach methodologies (NAMs) that efficiently provide information about chemical hazard without using whole animals are needed to accelerate the pace of chemical safety assessments. Technological advancements in gene expression assays have made in vitro high-throughput transcriptomics (HTTr) a feasible option for NAMs-based hazard characterization of environmental chemicals. In the present study, we evaluated the Templated Oligo with Sequencing Readout (TempO-Seq) assay for HTTr concentration-response screening of a small set of chemicals in the human-derived MCF7 cell model. Our experimental design included a variety of reference samples and reference chemical treatments in order to objectively evaluate TempO-Seq assay performance. To facilitate analysis of these data, we developed a robust and scalable bioinformatics pipeline using open-source tools. We also developed a novel gene expression signature-based concentration-response modeling approach and compared the results to a previously implemented workflow for concentration-response analysis of transcriptomics data using BMDExpress. Analysis of reference samples and reference chemical treatments demonstrated highly reproducible differential gene expression signatures. In addition, we found that aggregating signals from individual genes into gene signatures prior to concentration-response modeling yielded in vitro transcriptional biological pathway altering concentrations (BPACs) that were closely aligned with previous ToxCast high-throughput screening (HTS) assays. Often these identified signatures were associated with the known molecular target of the chemicals in our test set as the most sensitive components of the overall transcriptional response. This work has resulted in a novel and scalable in vitro HTTr workflow that is suitable for high throughput hazard evaluation of environmental chemicals.
2021-01-25 | GSE162855 | GEO
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Project description:Major advances have been made to improve the sensitivity of mass analyzers, spectral quality, and the speed of data processing enabling more comprehensive proteome discovery and quantitation. While focus has recently begun shifting toward robust proteomic sample preparation efforts, a high throughput proteomics sample preparation is still lacking. We report the development of a highly-automated universal 384-well plate sample preparation platform with high reproducibility and adaptability for extraction of proteins from cells within a culture plate. Digestion efficiency was excellent in comparison to a commercial digest peptide standard with minimal sample loss while improving sample preparation throughput by 20- to 40-fold (<1 min/sample for entire process from cells to clean peptides). Analysis of six human cell types, which included two primary cell samples, identified and quantified approximately 4,000 proteins for each sample in a single HPLC-MS/MS injection with only 100 -10,000 cells, thus demonstrating universality of the platform.
2021-06-14 | PXD023374 | Pride
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2023-08-15 | PXD043407 | Pride
Project description:Large genome mapping consortia and thousands of genome-wide association studies have identified non-protein coding elements in the genome as a having a central role in tissue development, cell-type specification, response to environmental or pharmacologic signals, and susceptibility to most common diseases. However, decoding the function of the millions of putative regulatory elements discovered in these studies remains a primary challenge. New CRISPR/Cas9-based epigenome editing technologies have enabled the precise perturbation of the activity of specific regulatory elements. Here we describe CRISPR/Cas9-based Epigenomic Regulatory Element Screening (CERES) for high-throughput screening of regulatory element activity within the native genomic context. We perform both loss- and gain-of-function screens with complementary epigenome editing tools to identify known and unknown regulatory elements of medically relevant genes in human cells. The high-throughput functional annotation of putative regulatory elements by CERES constitutes a new platform for screening biological mechanisms that cannot be perturbed by traditional methods.
2017-03-23 | GSE96875 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Large genome mapping consortia and thousands of genome-wide association studies have identified non-protein coding elements in the genome as a having a central role in tissue development, cell-type specification, response to environmental or pharmacologic signals, and susceptibility to most common diseases. However, decoding the function of the millions of putative regulatory elements discovered in these studies remains a primary challenge. New CRISPR/Cas9-based epigenome editing technologies have enabled the precise perturbation of the activity of specific regulatory elements. Here we describe CRISPR/Cas9-based Epigenomic Regulatory Element Screening (CERES) for high-throughput screening of regulatory element activity within the native genomic context. We perform both loss- and gain-of-function screens with complementary epigenome editing tools to identify known and unknown regulatory elements of medically relevant genes in human cells. The high-throughput functional annotation of putative regulatory elements by CERES constitutes a new platform for screening biological mechanisms that cannot be perturbed by traditional methods.
2017-03-23 | GSE96876 | GEO