50337b32-2651-4d85-aef6-a33da342b34a - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001011163 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Using measurements of absolute protein and mRNA concentrations in cellular lysate from a Daoy medulloblastoma cell line, we quantitatively evaluate the influence of absolute transcript levels and a large number of sequence-encoded regulatory elements on steady-state human protein expression levels.
2010-02-25 | GSE20492 | GEO
Project description:Unique Molecular Identifiers (UMIs) are random oligonucleotide barcodes sequences? that are critical for the removal of PCR amplification biases within both bulk and single-cell sequencing experiments. However, the impact that PCR and sequencing errors have on the accuracy of generating absolute counts of RNA molecules is underappreciated. We demonstrate that PCR errors and not sequencing errors are the main source of inaccuracy in sequencing data and that the use of UMIs synthesized with homotrimeric nucleoside building blocks provides a solution to pinpoint and remove errors, allowing absolute counting of sequenced molecules.
2023-06-01 | GSE218901 | GEO
Project description:Unique Molecular Identifiers (UMIs) are random oligonucleotide barcodes sequences? that are critical for the removal of PCR amplification biases within both bulk and single-cell sequencing experiments. However, the impact that PCR and sequencing errors have on the accuracy of generating absolute counts of RNA molecules is underappreciated. We demonstrate that PCR errors and not sequencing errors are the main source of inaccuracy in sequencing data and that the use of UMIs synthesized with homotrimeric nucleoside building blocks provides a solution to pinpoint and remove errors, allowing absolute counting of sequenced molecules.
2023-06-01 | GSE218899 | GEO
Project description:Missense variants that change the amino acid sequences of proteins cause one third of human genetic diseases. Tens of millions of missense variants exist in the current human population, with the vast majority having unknown functional consequences. Here we present the first large-scale experimental analysis of human missense variants. Using DNA synthesis and cellular selection experiments we quantify the impact of >500,000 variants on the abundance of >500 human protein domains. This dataset, Domainome 1.0, reveals that >60% of disease-causing variants destabilize proteins. The contribution of stability to protein fitness varies across proteins and diseases, and is particularly important in recessive disorders. Combining experimental stability measurements with large language models we annotate functionally important sites across domains. Fitting energy models to the data demonstrates the conservation of mutation effects in homologous domains and allows stability to be accurately predicted for entire domain families. Domainome 1.0 demonstrates the feasibility of assaying human protein variant effects at scale and provides a large consistent reference dataset for clinical variant interpretation and the training and benchmarking of computational methods.
2024-04-27 | GSE265942 | GEO
Project description:RNA-seq experiments measuring global RNA abundance Temperature sensitive (TS) mutants are a tool that have been foundational for the study of many essential life processes. Despite the long-term use of TS mutants, the mechanisms that lead to temperature sensitivity are not fully understood. Furthermore, a high-throughput workflow to characterize biophysical changes occurring in TS mutants is lacking. We developed Temperature sensitive Mutant Proteome Profiling (TeMPP), a novel application of mass spectrometry based thermal proteome profiling (TPP) as a way to measure the effects of missense mutations on protein stability and protein-protein interactions. This study characterized the global changes in mRNA abundance, protein abundance, and protein thermal stability as a result of missense mutants within two subunits of the yeast ubiquitin-proteasome system. Global protein abundance measurements and RNA sequencing data resulted in a large number of possible candidates that could be causing the phenotypic changes observed in the mutant strains. The additional information gained from TeMPP along with complementary proteomic and transcriptomic experiments allows for multiomic intersection analysis that may reveal interesting regulatory categories to pursue in follow-up mechanistic experiments.
2020-01-08 | GSE143236 | GEO
Project description:Using measurements of absolute protein and mRNA concentrations in cellular lysate from a Daoy medulloblastoma cell line, we quantitatively evaluate the influence of absolute transcript levels and a large number of sequence-encoded regulatory elements on steady-state human protein expression levels. mRNA profiling: We prepared two biological replicates, each one was used in a 4-plex format array.
2010-04-22 | E-GEOD-20492 | biostudies-arrayexpress
Project description:We have established that BMP6 is an important endogenous regulator of human osteoblast differentiation. Our preliminary experiment showed that 8 hour BMP6 treatment induced early osteoblast markers in hMSC. In this study, we used microarrays to profile the global gene expression program in hMSC induced by BMP6 treatment and further identify the early osteogenic responses to BMP6 stimulation. Experiment Overall Design: The dataset contains a total of 4 gene chip measurements from duplicate experiments each with paired measurements of human MSC with or without 8 hours BMP6 treatment.
2009-06-08 | E-GEOD-13604 | biostudies-arrayexpress
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle.
2015-03-06 | GSE59792 | GEO
Project description:Protein expression is regulated by production and degradation of mRNAs and proteins, but their specific relationships remain unknown. We combine measurements of protein production and degradation and mRNA dynamics to build a quantitative genomic model of the differential regulation of gene expression in LPS stimulated mouse dendritic cells. Changes in mRNA abundance play a dominant role in determining most dynamic fold changes in protein levels. Conversely, the preexisting proteome of proteins performing basic cellular functions is remodeled primarily through changes in protein production or degradation, accounting for over half of the absolute change in protein molecules in the cell. Thus, the proteome is regulated by transcriptional induction of novel cellular functions and remodeling of preexisting functions through the protein life cycle.
2015-03-06 | GSE59784 | GEO
Project description:This dataset contains RNAseq experiments of in vitro cultured MC38 colon cancer cell line treated with PBS or 5-FU
2021-01-01 | GSE160985 | GEO