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:Hepatic steatosis is the initial manifestation of abnormal liver functions and often leads to liver diseases such as non-alcoholic fatty liver disease in humans and fatty liver syndrome in animals. In this study, we conducted a comprehensive analysis of a large chicken population consisting of 705 adult hens by combining host genome resequencing, liver transcriptome, proteome, and metabolome analysis, as well as microbial 16S rRNA gene sequencing of each gut segment.
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.
| 116635 | ecrin-mdr-crc
Project description:Round goby hypothalamus DNA methylation
Project description:Omics approaches are broadly used to explore endocrine and toxicity-related pathways and functions. Nevertheless, there is still a significant gap in knowledge in terms of understanding the endocrine system and its numerous connections and intricate feedback loops, especially in non-model organisms. The fathead minnow (Pimephales promelas) is a widely used small fish model for aquatic toxicology and regulatory testing, particularly in North America. A draft genome has been published but the amount of available genomic or transcriptomic information is still far behind that of other more broadly studied species, such as the zebrafish. Here, we surveyed the tissue-specific proteome and transcriptome profiles in adult male fathead minnow. To do so, we generated a draft transcriptome using short and long sequencing reads. We also performed RNA sequencing and proteomics analysis on the telencephalon, hypothalamus, liver, and gut of male fish. The main purpose of this analysis was to generate tissue-specific omics data in order to support future aquatic ecotoxicogenomic and endocrine-related studies as well as to improve our understanding of the fathead minnow as an ecological model.
Project description:Gene expression profiling was carried out in two liver tumors and one normal liver isolated from β2SP+/-; SMAD3+/- mice, and one normal liver isolated from wild type mouse. Whole-transcriptome sequencing of these 4 liver tissues.
Project description:Hepatocytes of the mammalian liver are organized in liver lobules and operate in a spatially-dependent manner. Cells in different positions along the lobule’s porto-cenrtal axis, defined by the directionality of blood flow, express different genes and perform different liver tasks. Gradients of the transcriptome along liver lobule axis has been recently established, yet not for the hepatocyte proteome. We used two surface markers whose levels are inversely zonated – CD73 with a decreasing gradient from pericentral to periportal hepatocytes and E-cadherin with increasing gradient from portal to central hepatocytes. By staining for both surface markers, we efficiently isolated bulk populations of hepatocytes from distinct lobule layers by Fluorescence Activated Cell Sorting (FACS). Over all, we sorted 100,000 hepatocytes from each of eight spatially distinct populations, from five different mice. Cells were washed, digested by trypsin and subjected to LC-MS/MS. More cells from same populations from the same mice were also collected for mRNA sequencing and microRNA microarray profiling, to achieve a multi-omic view on spatially sorted hepatocytes, for better understanding of the transcriptomic and post-transcriptomic levels of regulation of liver zonation.