Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA193719 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR791578_1.fastq.gz | Fastqsanger.gz | |||
| SRR791578_2.fastq.gz | Fastqsanger.gz | |||
| SRR791579_1.fastq.gz | Fastqsanger.gz | |||
| SRR791579_2.fastq.gz | Fastqsanger.gz | |||
| SRR791580_1.fastq.gz | Fastqsanger.gz |
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Project description:Many new alternative splice forms have been detected at the transcript level using next generation sequencing (NGS) methods, especially RNA-Seq, but it is not known how many of these transcripts are being translated. Leveraging the unprecedented capabilities of NGS, we collected RNA-Seq and proteomics data from the same cell population (Jurkat cells) and created a bioinformatics pipeline that builds customized databases for the discovery of novel splice-junction peptides. Results: Eighty million paired-end Illumina reads and ~500,000 tandem mass spectra were used to identify 12,873 transcripts (19,320 including isoforms) and 6,810 proteins. We developed a bioinformatics workflow to retrieve high-confidence, novel splice junction sequences from the RNA data, translate these sequences into the analogous polypeptide sequence, and create a customized splice junction database for MS searching. Jurkat T-cell mRNA was analyzed on an Illumina HiSeq2000. ~80 million paired end reads (2x200bp, ~350bp lengths) were collected.
2013-05-17 | E-GEOD-45428 | biostudies-arrayexpress
Project description:Many new alternative splice forms have been detected at the transcript level using next generation sequencing (NGS) methods, especially RNA-Seq, but it is not known how many of these transcripts are being translated. Leveraging the unprecedented capabilities of NGS, we collected RNA-Seq and proteomics data from the same cell population (Jurkat cells) and created a bioinformatics pipeline that builds customized databases for the discovery of novel splice-junction peptides. Results: Eighty million paired-end Illumina reads and ~500,000 tandem mass spectra were used to identify 12,873 transcripts (19,320 including isoforms) and 6,810 proteins. We developed a bioinformatics workflow to retrieve high-confidence, novel splice junction sequences from the RNA data, translate these sequences into the analogous polypeptide sequence, and create a customized splice junction database for MS searching.
2013-05-17 | GSE45428 | GEO
Project description:Alternative splicing of mRNA diversifies the function of human proteins, with tissue- and cell-specific protein isoforms being the most difficult to validate. While transcriptomic experiments enable the detection of many alternatively spliced transcripts, it is not known if these transcripts have protein-coding potential. We recently published the PG Nexus pipeline, which facilitates high confidence validation of exons and exon-exon junctions of spliced transcripts by integrating transcriptomics and proteomics data. Using the PG Nexus, we analyzed undifferentiated human mesenchymal stem cells and compared the number of protein isoforms validated using different protein sequence database, including public online databases and RNA-seq derived databases. With significant overlaps with other databases, we identified 8,011 exons and 3,824 splice junctions with the Ensembl database. Both exonic and junction peptides were important for protein isoform validation. The Ensembl database consistently outperformed the other data sources, but predicted open reading frames from RNA-seq derived transcripts were comparable, with only 6 less splice junctions validated. Using proteotypic and isoform-specific peptides, we validated 462 protein isoforms. This number increases to 1,083 if multiple proteotypic peptides per protein are included. Multiplexing proteotypic peptides in SRM assays or similar experiments will increase the confidence and coverage of protein isoform validation experiments.
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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.
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Project description:Current proteomic methods are not well suited to detect protein isoforms. On the one hand, standard shotgun (that is, bottom-up) proteomics involves digestion of proteins into peptides. While this approach identifies many proteins, it results in a loss of isoform information. On the other hand, mass spectrometric analysis of intact proteins (that is, top-down proteomics) distinguishes protein isoforms but only covers a small subset of the proteome. We developed peptide correlation profiling (PepCP) as a method to obtain protein-level information from peptide-centric (that is, bottom-up proteomic) data: First, proteins are fractionated by SDS-PAGE to polypeptides of different length. Second, individual protein fractions are digested into peptides. Third, peptides are identified and quantified in all fractions using quantitative mass spectrometry-based proteomics. Finally, peptide abundance profiles across fractions are analysed to obtain protein-level information.
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Project description:Alternative pre-mRNA splicing has long been proposed to greatly contribute to proteome complexity. However, the extent to which mature mRNA isoforms are successfully translated into protein remains controversial. Here, we used high-throughput RNA sequencing and mass spectrometry (MS)-based proteomics to better evaluate the translation of alternatively spliced mRNAs. To increase proteome coverage and improve protein quantitation, we optimized cell fractionation and sample processing steps at both the protein and peptide level. Furthermore, we generated a custom spectral library trained on analysis of RNA-Seq data with MAJIQ, an algorithm optimized to detect differential and unannotated junction usage for a given splice site. Using this custom library to match against tandem mass spectra acquired by data independent acquisition (DIA), we improved identification of splicing-derived proteoforms by ~30% as compared to use of the SwissProt database alone. Moreover, our increased depth and detection of proteins allowed us to track changes in the transcriptome and proteome induced by T cell stimulation, as well as fluctuations in protein sub-cellular localization. In sum, our data here confirms that use of generic databases in proteomic studies under-estimates the number of spliced mRNA isoforms that are translated into protein and provides a workflow that improves isoform detection in large-scale proteomic experiments.
2019-10-14 | PXD012556 | Pride
Project description:A computer program was used to create random amino acid sequences based on and restricted by physical shadow masks which will be used for lithography-based synthesis of peptides. The output from this algorithm was used to create peptides that were synthesized by Sigma Aldrich, and printed onto glass slides. The arrays contained 384 peptides printed in duplicate for each of 4 different mask designs. 52 different monoclonal antibodies were incubated on these microarrays and analyzed for their propensity to bind the peptides created from each mask set. The diversity of binding served as a proxy for the 'randomness' of these peptides, and provided information about how many masks are needed to truly generate random sequence peptides. two replicates of each peptide was printed on 1 Mask peptide microarray. A minimum of Two microarrays were tested for each sample. Image was qualified using in-house metrics for quality assurance.
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Project description:Circular RNAs (circRNAs) are a class of ubiquitously expressed, single-stranded, covalently covalently-closed (i.e. circularised) RNA that contain a unique nucleotide sequence created by the ligation of their 5' and 3' ends, called the back-splice junction. Understanding the cellular roles of circRNAs involves, in part, investigating the effects on cell phenotype of increased expression of individual circRNAs. This is frequently done by transfecting cells with plasmid DNA containing cloned exons from which the circRNA is transcribed, flanked by sequences that promote circularisation. We observed that all commonly used plasmids we tested unexpectedly incorporated molecular scars comprising vector sequence vector sequence as a molecular scar into the circRNA back-splice junction upon circularisation. Stepwise redesign of the cloning vector corrected this problem, ensuring bona fide circRNAs are produced with their natural back-splice junction at high efficiency. The fidelity of circRNAs produced from this new construct was validated by RNA sequencing. To increase the utility of this modified resource for expressing circRNA, we developed an expanded set of vectors incorporating this design that enable selection with a variety of antibiotics and fluorescent proteins, a range of promoters varying in promoter strength and plus a complementary set of lentiviral plasmids for difficult-to-transfect cells. These resources provide a versatile toolkit for high-efficiency and scarless overexpression of circular RNAs that fulfil a critical need for the investigation of circRNA function, including the role of the unique back-splice junction.
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