Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Re-analysis of: ‘CSF proteome mapping: Human cerebrospinal fluid LC-MS/MS, Part 2’ (PXD000652) to demonstrate the ProteoAnnotator software for mapping identifications to Ensembl genomes

ABSTRACT: We have performed a re-analysis of PXD000652 - a human proteome CSF fluid sample, originally queried versus UniProt. We have used our ProteoAnnotator package to re-search the data against Ensembl Human build 76 to demonstrate the capability of the pipeline to perform genome mapping on a large scale.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Dr Andy Jones

PROVIDER: MSV000080193 | MassIVE |

SECONDARY ACCESSION(S): PXD001390

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Publications

ProteoAnnotator--open source proteogenomics annotation software supporting PSI standards.

Ghali Fawaz F Krishna Ritesh R Perkins Simon S Collins Andrew A Xia Dong D Wastling Jonathan J Jones Andrew R AR

Proteomics 20141119 23-24

The recent massive increase in capability for sequencing genomes is producing enormous advances in our understanding of biological systems. However, there is a bottleneck in genome annotation--determining the structure of all transcribed genes. Experimental data from MS studies can play a major role in confirming and correcting gene structure--proteogenomics. However, there are some technical and practical challenges to overcome, since proteogenomics requires pipelines comprising a complex set o ...[more]

PMID: 25297486

Similar Datasets

Re-analysis of: ‘CSF proteome mapping: Human cerebrospinal fluid LC-MS/MS, Part 2’ (PXD000652) to demonstrate the ProteoAnnotator software for mapping identifications to Ensembl genomes

Project description:We have performed a re-analysis of PXD000652 - a human proteome CSF fluid sample, originally queried versus UniProt. We have used our ProteoAnnotator package to re-search the data against Ensembl Human build 76 to demonstrate the capability of the pipeline to perform genome mapping on a large scale.

2014-10-20 | PXD001390 | Pride

Genome-wide mapping of DNA re-replication in S. cerevisiae

Project description:To maintain genomic stability, re-initiation of eukaryotic DNA replication within a single cell cycle is blocked by multiple mechanisms that inactivate or remove replication proteins after G1 phase. Consistent with the prevailing notion that these mechanisms are redundant, we previously showed that simultaneous deregulation of three replication proteins, ORC, Cdc6 and Mcm2-7, was necessary to cause detectable bulk re-replication in G2/M phase in Saccharomyces cerevisiae. In this study, we used microarray comparative genomic hybridization (CGH) to provide a more comprehensive and detailed analysis of re-replication. This genome-wide analysis suggests that re-initiation in G2/M phase primarily occurs at a subset of both active and latent origins, but is independent of chromosomal determinants that specify the use and timing of these origins in S phase. We demonstrate that re-replication can be induced within S phase, but differs in amount and location fr om re-replication in G2/M phase, illustrating the dynamic nature of DNA replication controls. Finally, we show that very limited re-replication can be detected by microarray CGH when only two replication proteins are deregulated, suggesting that the mechanisms blocking re-replication are not redundant. Therefore we propose that eukaryotic re-replication at levels below current detection limits may be more prevalent and a greater source of genomic instability than previously appreciated. Keywords: comparative genomic hybridization (CGH), DNA replication, re-replication

2006-03-17 | GSE4181 | GEO

REPARATION: Ribosome Profiling Assisted (Re-) Annotation of Bacterial genomes

Project description:Prokaryotic genome annotation is highly dependent on automated methods, as manual curation cannot keep up with the exponential growth of sequenced genomes. Current automated techniques depend heavily on sequence context and often underestimate the complexity of the proteome. We developed REPARATION (RibosomeE Profiling Assisted (Re-)AnnotaTION), a de novo algorithm that takes advantage of experimental evidence from ribosome profiling (Ribo-seq) to delineate translated open reading frames (ORFs) in bacteria, independent of genome annotation. Ribo-seq next generation sequencing technique that provides a genome-wide snapshot of the position translating ribosome along an mRNA at the time of the experiment. REPARATION evaluates all possible ORFs in the genome and estimates minimum thresholds to screen for spurious ORFs based on a growth curve model. We applied REPARATION to three annotated bacterial species to obtain a more comprehensive mapping of their translation landscape in support of experimental data. In all cases, we identified hundreds of novel ORFs including variants of previously annotated and novel small ORFs (<71 codons). Our predictions were supported by matching mass spectrometry (MS) proteomics data and sequence conservation analysis. REPARATION is unique in that it makes use of experimental Ribo-seq data to perform de novo ORF delineation in bacterial genomes, and thus can identify putative coding ORFs irrespective of the sequence context of the reading frame.

2017-08-09 | PXD005844 | Pride

RUNX1-ETO (RE) murine hematopoietic stem/progenitor cells (HSPCs) treated with GM-CSF

Project description:GM-CSF signaling was previously reported to have a negative effect on a murine model of (8;21)-induced leukemia. Gene expression profiling of MigR1 (Mig) control and RUNX1-ETO (RE), the oncofusion protein generated from t(8;21), murine Lin-/c-Kit+ hematopoietic stem/progenitor cells (HSPCs) was conducted to further elucidate the mechanisms mediating the negative effect induced by GM-CSF signaling in t(8;21) cells,

2016-09-23 | GSE72567 | GEO

CSF CD4+ T cells in MS

Project description:Single-cell transcriptome profiling of disease-related lymphocytes in patients with multiple sclerosis

2021-04-14 | GSE172003 | GEO

Re-sequencing and optical mapping reveals misassemblies and real inversions on Corynebacterium pseudotuberculosis genomes.

Project description:The number of draft genomes deposited in Genbank from the National Center for Biotechnology Information (NCBI) is higher than the complete ones. Draft genomes are assemblies that contain fragments of misassembled regions (gaps). Such draft genomes present a hindrance to the complete understanding of the biology and evolution of the organism since they lack genomic information. To overcome this problem, strategies to improve the assembly process are developed continuously. Also, the greatest challenge to the assembly progress is the presence of repetitive DNA regions. This article highlights the use of optical mapping, to detect and correct assembly errors in Corynebacterium pseudotuberculosis. We also demonstrate that choosing a reference genome should be done with caution to avoid assembly errors and loss of genetic information.

| S-EPMC6841979 | biostudies-literature

REPARATION: Ribosome Profiling Assisted (Re-) Annotation of Bacterial genomes

Project description:The delineation of genes in bacteria has remained an important challenge because prokaryotic genomes are often tightly packed frequently resulting in overlapping genes. We hereby present a de novo approach called REPARATION (RibosomeE Profiling Assisted (Re-)AnnotaTION) to delineate translated open reading frames (ORFs) in bacteria independent of (available) genome annotation. By deep sequencing of ribosome protected mRNA fragments (RPF) to map translating ribosomes across the entire genome, REPARATION takes advantage of the recently developed ribosome profiling (Ribo-seq) technique. REPARATION starts by traversing the entire genome to generate all possible ORFs and then collects their corresponding RPF signal information. Based on a growth curve model to estimate minimum ORF read density and Ribo-seq RPF coverage, thresholds indicative of translation is estimated. Finally, our algorithm applies a random forest model to build a classifier to classify putative protein coding ORFs. We evaluated the performance of REPARATION on 3 annotated bacterial species using in-house generated Ribo-seq data and matching N-terminal and shotgun proteomics data next to publically available Ribo-seq data. In all cases, about 80% of the ORFs predicted by REPARATION were previously annotated as protein coding. While 13-20% were variants of previously annotated ORFs and about 3-4% point to novel translated ORFs within intergenic or other regions previously annotated as non-coding. Without stringent length restrictions REPARATION was able to identify several small ORFs (sORFs). Multiple supportive evidence from matching MS data and sequence conservation analysis was obtained to validate predicted ORFs.

2017-01-30 | GSE91066 | GEO

Improved application of RNAModMapper - An RNA modification mapping software tool - For analysis of liquid chromatography tandem mass spectrometry (LC-MS/MS) data.

Project description:Research into post-transcriptional processing and modification of RNA continues to speed forward, as their ever-emerging role in the regulation of gene expression in biological systems continues to unravel. Liquid chromatography tandem mass spectrometry (LC-MS/MS) has proven for over two decades to be a powerful ally in the elucidation of RNA modification identity and location, but the technique has not proceeded without its own unique technical challenges. The throughput of LC-MS/MS modification mapping experiments continues to be impeded by tedious and time-consuming spectral interpretation, particularly during for the analysis of complex RNA samples. RNAModMapper was recently developed as a tool to improve the interpretation and annotation of LC-MS/MS data sets from samples containing post-transcriptionally modified RNAs. Here, we delve deeper into the methodology and practice of RNAModMapper to provide greater insight into its utility, and remaining hurdles, in current RNA modification mapping experiments.

| S-EPMC6397789 | biostudies-literature

REPARATION: Ribosome Profiling Assisted (Re-) Annotation of Bacterial genomes - PART 2

2017-08-03 | PXD005901 | Pride

Whole genome mapping and re-organization of the nuclear and mitochondrial genomes of Babesia microti isolates.

Project description:Babesia microti is the primary causative agent of human babesiosis, an emerging pathogen that causes a malaria-like illness with possible fatal outcome in immunocompromised patients. The genome sequence of the B. microti R1 strain was reported in 2012 and revealed a distinct evolutionary path for this pathogen relative to that of other apicomplexa. Lacking from the first genome assembly and initial molecular analyses was information about the terminal ends of each chromosome, and both the exact number of chromosomes in the nuclear genome and the organization of the mitochondrial genome remained ambiguous. We have now performed various molecular analyses to characterize the nuclear and mitochondrial genomes of the B. microti R1 and Gray strains and generated high-resolution Whole Genome maps. These analyses show that the genome of B. microti consists of four nuclear chromosomes and a linear mitochondrial genome present in four different structural types. Furthermore, Whole Genome mapping allowed resolution of the chromosomal ends, identification of areas of misassembly in the R1 genome, and genomic differences between the R1 and Gray strains, which occur primarily in the telomeric regions. These studies set the stage for a better understanding of the evolution and diversity of this important human pathogen.

| S-EPMC3762879 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data