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The transcriptomic and proteomic map of human primary cells

ABSTRACT: Molecular profiling of human primary cell types is essential for holistic understanding of human biology. Here we present a map of 28 human primary cell types with comprehensive measurements of expressed transcripts and proteins. Three major clusters of epithelial, endothelial, and mesenchymal cell types were observed both at transcriptome and proteome level along with discovery of several cell type specific proteins. Among them, we characterized the novel epithelial specific protein C1orf116 which was further validated with immunohistochemistry across various human tissues. Comprehensive proteome profiling across cell types allowed characterization of ten orphan proteins including TMEM252 and TM4SF18 which lacked protein level evidence. Exhaustive protein database search considering 27 biologically relevant post-translational modifications and 12 chemical modifications was performed, thanks to the increased performance of cloud-based search engine. This, for the first time, provided the catalog of post-translational modifications across cell types, which serve as a resource of PTMs for future studies. We characterized proteins such as protein EEF1A1with various types of PTMs and understudied PTMs including histidine methylation, and O-acetylation of serine. Interestingly, the unexpected higher frequency of dioxidation on tryptophan than that of methionine led us to characterize oxidative mitochondria complex subunit proteins modified through oxidative phosphorylation in mitochondria, which was mostly considered as chemical artifact so far. Overall, these indicated that considering various PTMs during protein database search from non-enriched samples could be routinely used in proteomics experiments. Further, protein database search strategy considering alternative translational start sites, splice junctions, and translational readthrough provided a unique opportunity to refine genome annotation with their proteomic evidence. We believe that our data with the large catalog of transcriptome and proteome of normal human primary cells provide a cornerstone for holistic understanding of cell biology.

ORGANISM(S): Homo sapiens

PROVIDER: GSE190615 | GEO | 2022/12/31

REPOSITORIES: GEO

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Project description:Human umbilical vein endothelial cells (HUVECs) are a widely-used model system to study pathological and physiological processes associated with the cardiovascular system. An understanding of genes and proteins that are expressed in any cell type is a fundamental need which facilitates studies of molecular changes in disease states and response to various stimuli. In this study, we employed next generation sequencing and mass spectrometry to profile the transcriptome and proteome of primary HUVECs. Analysis of 145 million paired-end reads from next generation sequencing confirmed expression of 12,186 protein-coding genes (FPKM>0.1), 439 novel long non-coding RNAs and revealed 6,089 novel isoforms that were not annotated in GENCODE. A comparison of the transcripts against human gene expression data for 53 tissues catalogued by the Genotype-Tissue Expression (GTEx) project revealed a number of HUVEC-specific genes. Proteomics analysis identified 6,477 proteins including confirmation of N-termini for 1,091 proteins and isoforms for 149 proteins for which transcriptomic evidence was observed. Alternate translational start sites for seven proteins and alternate splicing in five proteins were also identified. A database search to specifically identify other post-translational modifications provided evidence for a number of modification sites on 117 proteins which included ubiquitylation, lysine acetylation and mono, di- and tri-methylation events. Based on the data from this study and a survey of other databases, we provide evidence for 11 “missing proteins,” which are proteins for which there was insufficient or no protein level evidence. Peptides supporting missing protein and novel events were validated by comparison of MS/MS fragmentation patterns with synthetic peptides. By creating a custom database of proteins containing sample-specific single amino acid variants (SAAV), we also identified 245 variant peptides derived from 207 expressed proteins. Overall, we believe that the integrated approach employed in this study is widely applicable to study any primary cell type for deeper molecular characterization.

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The transcriptomic and proteomic map of human primary cells

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