Project description:This model was reconstructed from single-nucleus RNA-seq (snRNA-seq) data of human postmortem brain and curated using published metabolomics data from human iPSC-derived neurons and cerebrospinal fluid (CSF), together with gene expression data from the Human Protein Atlas. It more accurately simulates human neuronal metabolic flux in neurodegenerative conditions such as Alzheimer's disease (AD).
Project description:A variety of newly developed next-generation sequencing technologies are making their way rapidly into the research and clinical applications, for which accuracy and cross-lab reproducibility are critical, and reference standards are much needed. However, there is still a lack of well-characterized reference materials which include epigenomic and proteomic data. Our previous multicenter studies under the SEQC-2 umbrella using a breast cancer cell line with paired B-cell line have produced large amount different genomic data including whole genome sequencing (Illumina, PacBio, Nanopore), HiC, and scRNA-seq with detailed analyses on somatic mutations, single-nucleotide variations (SNVs), and structure variations (SVs). Here we further performed ATAC-seq, Methyl-seq, RNA-seq, and proteomic analyses and provided a comprehensive catalog of epigenomic landscape, which overlapped with the transcriptomes and proteomes for the two cell lines. We identified >7,700 peptide isoforms, where the majority (95%) of the genes had a single peptide isoform and found that the protein expression levels of the transcripts overlapping CGIs were much higher than the protein expression levels of the non-CGI transcripts in both cell lines. We observed that open chromatin regions had low methylation while closed chromatin regions had high methylation, which were largely regulated by CG density, where CG-rich regions had more accessible chromatin, low methylation, and higher gene and protein expressions. The CG-poor regions had higher repressive epigenetic regulations (less open chromatin and higher DNA methylation), resulting in a cell line specific methylation and gene expression patterns. Our studies provide well-defined reference materials consisting of two cell lines with genomic, epigenomic, transcriptomic, scRNA-seq and proteomic characterizations which can serve as standards for validating and benchmarking not only on various omics assays, but also on bioinformatics methods. It will be a valuable resource for both research and clinical communities.
Project description:In this study, differential genes and proteins in cryptorchidism and normal testis were screened by high-throughput transcriptome sequencing (RNA-seq) and tmt-based proteomics techniques, and the potential factors of cryptorchidism were analyzed.
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
Project description:The eccrine sweat gland is an exocrine gland that is involved in the secretion of sweat for control of temperature. Malfunction of the sweat glands can result in disorders such as miliaria, hyperhidrosis and bromhidrosis. In addition, inadequate reabsorption of salt from sweat is a major feature of cystic fibrosis. Understanding the transcriptome and proteome of sweat glands is important for understanding the physiology and the role in disease. However, no systematic transcriptome or proteome analysis of sweat glands has yet been reported. To this end, we isolated eccrine sweat glands by microdissecting them from human skin and performed both RNA-seq and proteome analysis. In total, ~138,000 transcripts and ~6,100 proteins were identified. The proteome data of eccrine sweat gland showed enrichment of proteins involved in secretion, reabsorption, and wound healing while the transcriptome data did not show any enrichment for a specific pathway. Importantly, protein level identification of TRPV4 in eccrine sweat gland establishes its importance in re-epithelialization of partial-thickness wound and prevention of dehydration. Furthermore, this study enabled us to identify2 missing proteins. Integration of RNA-seq and proteomic data allowed us to identify 7 peptides from 5 novel genes. Most of the novel proteins were from short open reading frames (sORFs) suggesting that many sORFs still remain to be annotated in the human genome. The peptides mapping to the missing or novel proteins were validated by analyzing synthetic peptides. This study provides the first integrated analysis of the transcriptome and proteome of the human eccrine sweat gland and should become an invaluable resource to biomedical research community for studying sweat glands in physiology and disease.
Project description:The eccrine sweat gland is an exocrine gland that is involved in the secretion of sweat for control of temperature. Malfunction of the sweat glands can result in disorders such as miliaria, hyperhidrosis and bromhidrosis. In addition, inadequate reabsorption of salt from sweat is a major feature of cystic fibrosis. Understanding the transcriptome and proteome of sweat glands is important for understanding the physiology and the role in disease. However, no systematic transcriptome or proteome analysis of sweat glands has yet been reported. To this end, we isolated eccrine sweat glands by microdissecting them from human skin and performed both RNA-seq and proteome analysis. In total, ~138,000 transcripts and ~6,100 proteins were identified. The proteome data of eccrine sweat gland showed enrichment of proteins involved in secretion, reabsorption, and wound healing while the transcriptome data did not show any enrichment for a specific pathway. Importantly, protein level identification of TRPV4 in eccrine sweat gland establishes its importance in re-epithelialization of partial-thickness wound and prevention of dehydration. Furthermore, this study enabled us to identify2 missing proteins. Integration of RNA-seq and proteomic data allowed us to identify 7 peptides from 5 novel genes. Most of the novel proteins were from short open reading frames (sORFs) suggesting that many sORFs still remain to be annotated in the human genome. The peptides mapping to the missing or novel proteins were validated by analyzing synthetic peptides. This study provides the first integrated analysis of the transcriptome and proteome of the human eccrine sweat gland and should become an invaluable resource to biomedical research community for studying sweat glands in physiology and disease.
Project description:Plasmacytoid dendritic cells [pDCs] represent a rare innate immune subset uniquely endowed with the capacity to produce substantial amounts of type-I interferons [IFN-I]. This function of pDCs is critical for effective antiviral defenses and has been implicated in autoimmunity. While IFN-I and select cytokines have been recognized as pDC secreted products, a comprehensive agnostic profiling of the pDC secretome in response to a physiologic stimulus has not been reported. We applied LC-MS/MS to catalogue the repertoire of proteins secreted by pDCs in response to challenge with live influenza H1N1. Additionally, using single-cell RNA-seq [scRNA-seq], we perform multidimensional analyses of pDC transcriptional diversification following stimulation. Our data reveal an abundance of protein species released by pDCs in addition to IFN-I, and evidence highly specialized roles within the pDC population ranging from dedicated cytokine super-producers to cells with APC-like functions. Moreover, dynamic expression of transcription factors and surface markers characterize activated pDC fates.
Project description:we collected tissues of subcutaneous fat and longissimus dorsi (LD) muscle from individuals that have divergent of backfat thickness and intramuscular fat content, and have similar age and body weight. The transcriptomic and proteomic data were gained using RNA-Seq and TMT to identify the key genes and pathways that specifically regulate the subcutaneous fat and intramuscular fat deposition in Dingyuan pig.