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.
Project description:This study intends to explore the clinicopathological characteristics and survival prognosis of locally recurrent colorectal cancer patients with different treatment modes by retrospectively analyzing the medical records of locally recurrent colorectal cancer patients who received hospitalization in our center. Transcriptome sequencing and public databases were used to screen for molecular markers related to locally recurrent colorectal cancer and to explore molecular markers’ regulatory role in the progression of locally recurrent colorectal cancer.
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.
Project description:Liver circadian clock and daily rhythmic transcriptome are highly responsive to metabolic cues generated from daily feeding activity. The mechanisms that mediate metabolic inputs to the whole rhythmic transcriptome are still under investigation. Here, we explored the role of O-GlcNAcylation, a nutrient-sensitive post-translational modification (PTM) that integrates circadian and metabolic signals, in the diurnal regulation of nuclear proteins. We found daily oscillation of overall nuclear protein O-GlcNAcylation in the liver of mice subjected to natural night time-restricted feeding (NRF). O-GlcNAcomic analysis revealed that 11.54% of 719 O-GlcNAcylated proteins are rhythmically O-GlcNAcylated. Proteins involved in gene expression were enriched, suggesting rhythmic O-GlcNAcylation may directly shape diurnal transcriptome. Furthermore, we showed that rhythmic O-GlcNAcylation could indirectly modulate diurnal transcriptome by interacting with phosphorylation. Specifically, several proteins harboring O-GlcNAcylation-phosphorylation interplay motif exhibit rhythmic O-GlcNAcylation and phosphorylation. For example, O-GlcNAcylation may occur at a phosphor-degron of a key circadian transcriptional activator, circadian locomotor output cycles kaput (CLOCK), regulating the stability and transcriptional output of CLOCK. Lastly, unnatural day time-restricted feeding (DRF) dampens O-GlcNAcylation rhythm, suggesting the disruption of diurnal transcriptome could be mediated by protein O-GlcNAcylation. In summary, our results provide mechanistic insights into metabolic regulation of diurnal transcriptome at PTM level and shed light on the deleterious effects of improper mealtimes.
Project description:In this study, we characterized wild type and OsVTC1-1 RNAi lines (RI1-2 and RI1-3) and studied the role by using transcriptome and proteome.
Project description:The intestinal epithelium is replaced weekly by non-quiescent stem cells with kinetics that rely on a rapid loss of stemness and choice for secretory or absorptive lineage differentiation. To determine how the cellular transcriptome and proteome changes during these transitions, we developed a new cell sorting method to purify stem cells, secretory and absorptive progenitor cells, and mature, differentiated cells. Transcriptome analyses revealed that as stem cells transition to the progenitor stage, alternative mRNA splicing and polyadenylation dominate changes in the transcriptome. In contrast, as progenitors differentiate into mature cell types, alterations in gene expression and mRNA levels drive the changes. RNA processing targets mRNAs encoding regulators of cell cycle, RNA regulators, cell adhesion, SUMOylation, and Wnt and Notch signaling. Additionally, carrier-assisted mass spectrometry of sorted cell populations detected >2,800 proteins and revealed RNA:protein patterns of abundance and correlation. Paired together, these data highlight new potentials for autocrine and feedback regulation and provide new insights into cell state transitions in the crypt.
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.