Project description:Nowadays, although single-cell multi-omics technologies are undergoing rapid development, simultaneous transcriptome and proteome analysis of a single-cell individual still faces great challenges. Here, we developed a single-cell simultaneous transcriptome and proteome (scSTAP) analysis platform based on microfluidics, high-throughput sequencing and mass spectrometry technology, to achieve deep and joint quantitative analysis of transcriptome and proteome at the single-cell level, providing an important resource for understanding the relationship between transcription and translation in cells. This platform was applied to analyze single mouse oocytes at different meiotic maturation stages, reaching an average quantification depth of 19948 genes and 2663 protein groups in single mouse oocytes.
Project description:This ArrayExpress record contains meta-data and results of quantitative analysis of cell lines from the NCI-60 panel using pressure cycling technology (PCT) and SWATH-mass spectrometry. Each cell line was analyzed in duplicate. Raw data files are available at the EMBL-EBI protemics data archive (PRIDE) at accession PXD003539 (http://www.ebi.ac.uk/pride/archive/projects/PXD003539). Since the record here does not include the raw data files and hence there is no need to explicitly link individual replicate to a raw file, each sample is only listed once in the ArrayExpress samples table for clarity.
Project description:The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides was lacking. To this end, Akhilesh Pandey's lab reported a draft map of the human proteome based on high resolution Fourier transform mass spectrometry-based proteomics technology, which included an in-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells ( http://dx.doi.org/10.1038/nature13302 ). The profiling resulted in identification of proteins encoded by greater than 17,000 genes accounting for ~84% of the total annotated protein-coding genes in humans. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) complements available human genome and transcriptome data to accelerate biomedical research in health and disease. Pandey's lab and collaborators request that those considering use of this primary dataset for commercial purposes contact pandey@jhmi.edu. The full details of this study can be found in the PRIDE database: www.ebi.ac.uk/pride/archive/projects/PXD000561/. This ArrayExpress entry represents a top level summary of the metadata only which formed the basis of the reanalysis performed by Joyti Choudhary's team ( jc4@sanger.ac.uk ), results of which are presented in the Expression Atlas at EMBL-EBI : http://www.ebi.ac.uk/gxa/experiments/E-PROT-1.
Project description:Inhibitors of glucose (IO+DHEA group) or fatty acids (ETOMOXIR group) metabolism were applied during bovine oocyte in vitro maturation (IVM). Control group was conducted in standard maturation conditions. In vitro fertilization and embryo culture were applied. Obtained blastocysts were analysed with regard to lipidome, metabolome (mass spectrometry), transcriptome (RNA Seq) and lipid droplets staining (BODIPY).
Project description:Alternative splicing (AS) isoforms create numerous proteoforms, expanding the complexity of the genome. Highly similar sequences, incomplete reference databases and the insufficient sequence coverage of mass spectrometry limit the identification of AS proteoforms.In this work, we compared RNC-seq and Ribo-seq in the context of proteome identification, especially when identifying protein isoforms from AS. We also demonstrated that the single-molecule long read sequencing technique identified thousands of new splice variants and guided the MS identifications of new protein isoforms.
Project description:The protein translation machinery and the genes it decodes co-evolved to achieve production throughput and accuracy. Nonetheless translation errors are frequent and they affect physiology, fitness and protein evolution. Mapping translation errors in proteomes and understanding their causes was hindered by lack of a proteome-wide experimental methodology. Here, we present the first methodology for systematic detection and quantification of errors in entire proteomes. Following proteome mass-spectrometry, we identify in E. coli and S. cerevisiae peptides whose mass indicates specific amino acid substitutions. Most substitutions occur due to codon-anticodon mispairing within the ribosome. we performed a deep RNA sequencing of the bacterial tRNA pool at the same time points in which we measured the proteome during E. coli culture growth. We compared ratio of abundances between congate and near-cognate tRNAs and found the changes corespond with changes in translation errors.
Project description:Defining the cellular factors that drive growth rate and proteome composition is essential for understanding and manipulating cellular systems. In bacteria, ribosome concentration is known to be a constraining factor of cell growth rate, while gene concentration is usually assumed not to be limiting. Here, using single-molecule tracking, quantitative single-cell microscopy, and modeling, we show that genome dilution in Escherichia coli cells arrested for DNA replication results in a decrease in the concentration of active RNA polymerases and ribosomes. The resulting sub-linear scaling of total active RNA polymerases and ribosomes with cell size leads to sub-exponential growth, even within physiological cell sizes. Cell growth rate scales proportionally with the total number of active ribosomes in a DNA concentration-dependent manner. Tandem-mass-tag mass spectrometry experiments further revealed that a decrease in DNA-to-cell-volume ratio also incrementally remodels proteome composition with cell size. Altogether, our findings indicate that genome concentration is an important driver of exponential cell growth and a global modulator of proteome composition in E. coli. Comparison with studies on eukaryotic cells suggests DNA concentration-dependent scaling principles of gene expression across domains of life.
Project description:Here we studied the glycation of bovine milk proteins by lactose as dominant sugar in milk and hexoses using tandem mass spectrometry (CID and ETD mode). In a bottom-up proteomics approach after enriching glycated peptides by boronate affinity chromatography, first we could identify 260 lactosylated peptides corresponding to 124 lactosylation sites in 28 bovine milk proteins in raw milk, raw colostrum, three brands of pasteurized milk, three brands of UHT milk, and five brands of infant formula. The same regular and additionally two lactose-free milk products (pasteurized and UHT milk) where lactose is enzymatically cleaved into the more reactive hexoses were analyzed in terms of hexosylation sites that resulted in identification of 124 hexosylated tryptic peptides corresponding to 86 glycation sites in 17 bovine milk proteins. In quantitative terms glycation increased from raw milk to pasteurized milk to UHT milk and infant formula, i.e., with the harsher processing conditions. Lactose-free milk contained significantly higher hexosylation degrees than the corresponding regular milk product.
Project description:Thousands of human genes contain introns ending in NAGNAG motifs (N any nucleotide), where both NAGs can function as 3' splice sites, yielding isoforms differing by inclusion/exclusion of just three bases. However, the functional importance of NAGNAG alternative splicing is highly controversial. Using very deep RNA-Seq data from sixteen human and eight mouse tissues, we found that approximately half of alternatively spliced NAGNAGs undergo tissue-specific regulation and that regulated events have been selectively retained: alternative splicing of strongly tissue-specific NAGNAGs was ten times as likely to be conserved between species as for non-tissue-specific events. Further, alternative splicing of human NAGNAGs was associated with an order of magnitude increase in the frequency of exon length changes at orthologous mouse/rat exon boundaries, suggesting that NAGNAGs accelerate exon evolution. Together, our analyses show that NAGNAG alternative splicing constitutes a major generator of tissue-specific proteome diversity and accelerates evolution of proteins at exon-exon boundaries. mRNA-Seq of sixteen human and eight mouse tissues. Supplementary files: human.nagnag.junctions.gff and mouse.nagnag.junctions.gff are the annotation files (in GFF3 format) corresponding to the 'bwtout' mapped reads files linked to the Sample records. Raw data files provided for Samples GSM742937-GSM742952 only.