Ontology highlight
ABSTRACT:
PROVIDER: PRJNA592035 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In order to more accurately discover the cause of drug resistance in tumor treatment, and to provide a new basis for precise treatment.
Therefore, based on the umbrella theory of precision medicine, we carried out this single-center, prospective, and observational study to include patients with liver metastases from colorectal cancer. By combining genome, transcriptome, and proteomic sequencing data, we established a basis for colorectal cancer liver Transfer the multi-omics data of the sample, describe the reason for the resistance of the first-line treatment, and search for new therapeutic targets.
| 2349788 | ecrin-mdr-crc
Project description:The rapid rise in antibiotic-resistance of microbial pathogens has brought the attention to new, heterologous approaches to better exploit the vast repertoire of biosynthetic gene clusters in Actinobacteria genomes and the large number of potentially novel bioactive compounds encoded in these. To enable and optimize production of these compounds, a better understanding of -among others- the interplay between primary and secondary metabolism in the selected suitable heterologous production hosts is needed, in our case the model Streptomycete Streptomyces coelicolor. In this study, a genome-scale metabolic model is reconstructed based on several previous metabolic models and refined by including experimental data, in particular proteome data. This new consensus model provides not only a valuable and more accurate mathematical representation to predict steady-state flux distributions in this strain, but also provides a new framework for interpretation and integration of different 'omics' data by the Streptomyces research community for improved strain-specific systems-scale knowledge to be used in targeted strain development, e.g. for efficient new antibiotics production.
2020-09-10 | PXD013178 | Pride
Project description:Data from multiple high throughput technologies such as RNA sequencing (RNA-Seq) and protein mass spectrometry (MS/MS) are often used to assist in predicting eukaryote genome features such as genes, splice variants, and single nucleotide variants (SNVs). The genomes of parasitic nematodes causing neglected tropical diseases are often poorly annotated. Angiostrongylus costaricensis, a nematode that causes an intestinal inflammatory disease known as abdominal angiostrongyliasis (AA), is one example. Currently, no drugs or treatments are available for AA, a public health problem in Latin America, especially in Costa Rica and Brazil. The available genome of A. costaricensis, specific to the Costa Rica strain, is a draft version not supported by transcript- or protein-level evidence. This study used RNA-Seq and MS/MS data to perform an in-depth annotation of the A. costaricensis genome. Our prediction supplemented the reference annotation with a) novel coding and non-coding genes; b) pieces of evidence of alternative splicing generating new proteoforms; c) a list of SNVs specific to the Brazilian strain (Crissiumal). To the best of our knowledge, this is the first time that a multi-omics approach has been used to improve the genome annotation of a parasitic nematode. We hope this supplemented genome annotation can assist the future development of drugs to treat AA caused by either Brazil strain (Crissiumal) or Costa Rica strain.
2023-03-11 | PXD034605 | Pride
Project description:The Periconia genus belongs to the phylum Ascomycota, order Pleosporales, family Periconiaceae. Periconia is widespread in many habitats but little is known about its ecology. Several species produce bioactive molecules, among them, Periconia digitata extracts were shown to be deadly active against the pine wilt nematode. The strain CNCM I-4278, here identified as P. digitata was able to inhibit the plant pathogen Phytophthora parasitica. Since P. digitata has great potential as biocontrol agent and the only other genome available in the Periconiaceae family is that of Periconia macrospinosa, which is quite fragmentary, we generated long-read genomic data for P. digitata. Thanks to the PacBio Hifi sequencing technology, we obtained a high-quality genome with a total length of 38,967,494 bp, represented by 13 haploid chromosomes. The transcriptomic and proteomic data strengthen and support the genome annotation. Besides representing a new reference genome within the Periconiaceae, this work will also contribute in our understanding of the Eukaryotic tree of life. Not least, opens new possibilities to the biotechnological use of the species.
2023-08-04 | PXD038175 | Pride
Project description:The Periconia genus belongs to the phylum Ascomycota, order Pleosporales, family Periconiaceae. Periconia is widespread in many habitats but little is known about its ecology. Several species produce bioactive molecules, among them, Periconia digitata extracts were shown to be deadly active against the pine wilt nematode. The strain CNCM I-4278, here identified as P. digitata was able to inhibit the plant pathogen Phytophthora parasitica. Since P. digitata has great potential as biocontrol agent and the only other genome available in the Periconiaceae family is that of Periconia macrospinosa, which is quite fragmentary, we generated long-read genomic data for P. digitata. Thanks to the PacBio Hifi sequencing technology, we obtained a high-quality genome with a total length of 38,967,494 bp, represented by 13 haploid chromosomes. The transcriptomic and proteomic data strengthen and support the genome annotation. Besides representing a new reference genome within the Periconiaceae, this work will also contribute in our understanding of the Eukaryotic tree of life. Not least, opens new possibilities to the biotechnological use of the species.
2023-08-04 | PXD038112 | Pride
Project description:Streptomyces marokkonensis M10 genome and LC-MS data. Strain cultured on A1 agar media.
2016-05-10 | MSV000079711 | MassIVE
Project description:The study is intended to collect specimens to support the application of genome analysis technologies, including large-scale genome sequencing. This study will ultimately provide cancer researchers with specimens that they can use to develop comprehensive catalogs of genomic information on at least 50 types of human cancer. The study will create a resource available to the worldwide research community that could be used to identify and accelerate the development of new diagnostic and prognostic markers, new targets for pharmaceutical interventions, and new cancer prevention and treatment strategies. This study will be a competitive enrollment study conducted at multiple institutions.
| 2140168 | ecrin-mdr-crc
Project description:Streptococcus pneumoniae (pneumococcus) is a major human respiratory pathogen and the leading cause of bacterial pneumonia worldwide. Small regulatory RNAs (sRNAs), which often act by post-transcriptionally regulating gene expression, have been shown to be crucial for the virulence of S. pneumoniae and other bacterial pathogens. Over 170 putative sRNAs have been identified in S. pneumoniae TIGR4 strain (serotype 4) through transcriptomic studies, and a subset of these sRNAs have been further implicated in regulating pneumococcal pathogenesis. However, there was little overlap in the sRNAs identified among these studies, which indicated that the approaches used for sRNA identification were not sufficiently sensitive and robust and that there were likely many more undiscovered sRNAs encoded in the S. pneumoniae genome. Here, we sought to comprehensively identify sRNAs in Avery's virulent S. pneumoniae strain D39 using two independent RNA-seq based approaches. We developed an unbiased method for identifying novel sRNAs from bacterial RNA-seq data and have further tested the specificity of our analysis program towards identifying sRNAs encoded by both strains D39 and TIGR4. Interestingly, the genes for 15% of the putative sRNAs identified in strain TIGR4 including ones previously implicated in virulence were not present in strain D39 genome suggesting that the differences in sRNA repertoires between these two serotypes may contribute to their strain-specific virulence properties. Finally, this study has identified 67 new sRNA candidates in strain D39, 28 out of which have been further validated, raising the total number of sRNAs that have been identified in strain D39 to 112.
2019-03-11 | GSE123437 | GEO
Project description:The Oxford Nanopore technology has a great potential for the analysis of genome methylation, including full-genome methylome profiling. However, there are certain issues while identifying methylation motif sequences caused by low sensitivity of the currently available motif enrichment algorithms. Here, we present Snapper, a new highly-sensitive approach to extract methylation motif sequences based on a greedy motif selection algorithm. Snapper has shown higher enrichment sensitivity compared with the MEME tool coupled with Tombo or Nanodisco instruments, which was demonstrated on H. pylori strain J99 studied earlier using the PacBio technology. In addition, we used Snapper to characterize the total methylome of a new H.pylori strain A45. The analysis revealed the presence of at least 4 methylation sites that have not been described for H. pylori earlier. We experimentally confirmed a new CCAG-specific methyltransferase and indirectly inferred a new CCAAK-specific methyltransferase.
2024-01-26 | PXD038899 | Pride