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 primary objective of this prospective observational study is to characterize the gut and oral microbiome as well as the whole blood transcriptome in gastrointestinal cancer patients and correlate these findings with cancer type, treatment efficacy and toxicity. Participants will be recruited from existing clinical sites only, no additional clinical sites are needed.
| 2742033 | ecrin-mdr-crc
Project description:We here provide a comprehensive paired proteome and transcriptome data set including major stages (egg, larva, pupa and adult) across the whole developmental life cycle of the silkworm Bombyx mori. Our data constitutes a rich resource enabling comparative analysis of developmental regulatory dynamics. Analyzing this paired proteome and transcriptome data we revealed similarities and differences between both levels of gene expression in B. mori. We were also able to examine protein-transcript correlations and characterize stage-specific dynamics. Integrating similar publicly available data for D. melanogaster were also compared the two holometabolous insects at the level of the developmental proteome and transcriptome.
2025-06-06 | PXD051369 | Pride
Project description:Here we report the generation of a data-independent acquisition (DIA) assay library that enables simultaneous targeted proteomics of 1900 O. niloticus gill proteins using a label- and gel-free workflow that is well suited for ecologically relevant field samples. By determining alignment and mismatch between protein and mRNA regulation, the DIA assay library approach generates data that are complimentary rather than redundant to transcriptomics data. Transcript and protein abundance differences in gills of tilapia acclimated to freshwater and brackish water (25 g/kg) revealed non-linearity in salinity-dependent transcriptome versus proteome regulation. Non-linearity was more evident for specific functional groups of genes while other molecular functions/ cellular processes where more highly correlated regarding mRNA and protein regulation. Our study identifies specific salinity-dependent O. niloticus gill functions and processes that rely heavily on mRNA abundance regulation and others that rely more heavily on regulatory mechanisms beyond the transcriptome level. The DIA assay library approach presented here is shown to be a powerful means of complementing transcriptome data with corresponding quantitative proteome data to better discern mechanisms of regulation along the genome to phenome continuum.
2021-10-23 | PXD024648 | panorama