Similar Datasets
Project description:Shotgun protein sequencing with meta-contig assembly.
Full-length de novo sequencing from tandem mass (MS/MS) spectra of unknown proteins such as antibodies or proteins from organisms with unsequenced genomes remains a challenging open problem. Conventional algorithms designed to individually sequence each MS/MS spectrum are limited by incomplete peptide fragmentation or low signal to noise ratios and tend to result in short de novo sequences at low sequencing accuracy. Our shotgun protein sequencing (SPS) approach was developed to ameliorate these limitations by first finding groups of unidentified spectra from the same peptides (contigs) and then deriving a consensus de novo sequence for each assembled set of spectra (contig sequences). But whereas SPS enables much more accurate reconstruction of de novo sequences longer than can be recovered from individual MS/MS spectra, it still requires error-tolerant matching to homologous proteins to group smaller contig sequences into full-length protein sequences, thus limiting its effectiveness on sequences from poorly annotated proteins. Using low and high resolution CID and high resolution HCD MS/MS spectra, we address this limitation with a Meta-SPS algorithm designed to overlap and further assemble SPS contigs into Meta-SPS de novo contig sequences extending as long as 100 amino acids at over 97% accuracy without requiring any knowledge of homologous protein sequences. We demonstrate Meta-SPS using distinct MS/MS data sets obtained with separate enzymatic digestions and discuss how the remaining de novo sequencing limitations relate to MS/MS acquisition settings.
2014-01-16 | MSV000078530 | MassIVE
Project description:Lipomyces genome scale model based on the Lipomyces starkeyi NRRL-11557 genome.
Published in:
Genome-Scale Model Development and Genomic Sequencing of the Oleaginous Clade Lipomyces
Frontiers in Bioengineering and Biotechnology
Industrial Biotechnology
Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1356551
2024-03-20 | MODEL2403190001 | BioModels
Project description:Meta-genomic sequencing of 1,200 LifeLines-DEEP participants
| EGAD00001001991 | EGA
Project description:Human clinical (fecal) sample meta-genomic sequencing raw sequence reads
| PRJNA292670 | ENA
Project description:Meta-proteomics analysis approach in the application of biogas production from anaerobic digestion has many advantages that has not been fully uncovered yet. This study aims to investigate biogas production from a stable 2-stage chicken manure fermentation system in chemical and biological perspective. The diversity and functional protein changes from the 1st stage to 2nd stage is a good indication to expose the differential metabolic processes in anaerobic digestion. The highlight of identified functional proteins explain the causation of accumulated ammonia and carbon sources for methane production. Due to the ammonia stress and nutrient limitation, the hydrogenotrophic methanogenic pathway is adopted as indicative of meta-proteomics data involving the key methanogenic substrates (formate and acetate). Unlike traditional meta-genomic analysis, this study could provide both species names of microorganism and enzymes to directly point the generation pathway of methane and carbon dioxide in investigating biogas production of chicken manure.
2021-02-08 | PXD022498 | Pride
Project description:The identification of genes transcriptionally silenced by DNA hypermethylation is important in understanding the molecular basis of epigenetically regulated biological processes such as X chromosome inactivation, genomic imprinting, and cancer development. Our previously developed methyl-CpG targeted transcriptional activation (MeTA) method reactivates epigenetically silenced genes by using a methyl-CpG binding domain from MBD2 with a transcriptional activation domain. We applied either MeTA or a conventional DNA demethylating agent, 5-aza-cytidine (Aza-CR), to a human embryonic kidney cell line 293T and analyzed gene expression profiles by microarray; 138 and 202 genes that are upregulated 5-fold or more were identified by MeTA and Aza-CR, respectively. The top ten upregulated genes detected by MeTA were further analyzed. We found associations between expressional restorations by MeTA, methylation status, and NFkB(AD)-MBD fusion protein bindings in CpG islands (CGIs) around the transcription start site of the genes. Importantly, MeTA can upregulate genes meeting the stringent criteria of CGIs defined by Takai and Jones at the promoter region at higher frequency; 109 of 138 (79.0%) genes in MeTA vs. 121 of 202 (59.9%) genes in Aza-CR. Interestingly, only 27 genes were upregulated by both methods; MeTA may identify methylated genes that show low levels of induction by the DNA demethylating agents; demethylating agents may also induce factors that help re-expression of genes that harbor less stringent or no CGIs. These results suggest that microarray coupled with MeTA (MeTA-array) is an efficient alternative way to identify transcriptionally silenced genes by DNA hypermethylation.
2011-06-03 | GSE25981 | GEO