Project description:Of the multiple anatomical sites represented in oral cancer, squamous cell carcinoma of the tongue (TSCC) shows the highest incidence among younger age group. Chewing betel leaf, areca nut & slaked lime and smoking tobacco are common practises in India which have direct clinical implication in TSCC carcinogenesis. Here, for the first time we define the landscape of genomic alterations in TSCC from the Indian diaspora which would help to identify novel therapeutic targets for clinical intervention and define the genetic basis for TSCC. We performed high throughput sequencing of fifty four tongue samples using whole exome sequencing (n=47, 23 paired normal tumor and 1 unpaired) and transcriptome sequencing (n=17, 10 tumor and 5 normal). Mutation, copy number analysis were carried out using exome sequencing data and transcriptome analysis provided expressed genes and transcript fusions in tongue cancer patients. Further, integrated analysis were performed to identify biologically relevant alterations. Our preliminary analysis revealed presence of most frequently altered mutations in TSCC which includes mutations in TP53, NOTCH1, CDKN2A, USP6, KMT2D etc, consistent with literature. We observed high frequency of CG/T(GC/A) transversions in non-CpG islands, a signature associated with tobacco exposure. Somatic copy number analysis revealed copy number gain in known hallmarks such as CCND1, MYC, ORAOV1 genes along with copy number alteration in novel genes. Significant positive correlation was observed in the genes harbouring copy number gains and showing increased expression.
Project description:We used two hybrid combinations and their 4 parents as materials. One week after topping the tobacco plant, samples were taken, including three tissues: root, stalk, and leaf. The RNA of these samples was extracted, and transcriptome sequencing analysis was carried out to explore the transcriptional profile differences between hybrids and their parents, and to analyze the gene differential expression between different tissues.
Project description:A total of 18 samples were selected from 4 periods during the growth of phaseolus vulgaris pods and grains, and total RNA was extracted respectively for transcriptome sequencing and functional detection of the corresponding genes, which laid a certain data foundation for subsequent studies.
Project description:To profile the transcriptome of samples by “sample type (EV vs. Cell)”, “sex (Female vs. Male)”, and “treatment (0 vs. 120 vs 320 mg / dL)”. We performed gene expression profiling analysis using data obtained from RNA-seq of 18 EV samples and 18 cell samples in different treatment groups and sex.
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:We present here a transcriptome dataset of millet seedling leaves based on RNA-seq technology. The purpose of this study was to mine the salt and alkali tolerance genes of millet and further explore the mechanism of salt and alkali tolerance of millet. We selected 18 representative samples and conducted in-depth sequencing using the latest sequencing platform to ensure the accuracy and reliability of the data.
