Project description:The following consists of an RNA-Seq cohort comprised of samples from patients diagnosed with various tumor types across the pan-cancer spectrum. Collected at diagnosis, these samples serve as a resource for tumor classification using machine learning classifiers. Process count tables are provided. This cohort can assist researchers in exploring molecular signatures and facilitate accurate classification across diverse malignancies.
Project description:To obtain an unbiased characterization of the resident and infiltrating immune cell populations of mouse kidneys in healthy and diseased states, we performed single cell RNA-seq of facs-sorted CD45+ immune cells and CD4+ T cells from naïve and injured kidneys, at selected time points.
Project description:This experiment aims to deepen our understanding of adipose tissue biology and its implications for metabolic and kidney health. The experimental workflow includes biopsy collection during surgery and total RNA extraction from each sample. Then cDNA libraries were prepared and used for high-throughput RNA sequencing.
Project description:In our study, we have characterized the non-expanded and expanded tumor-infiltrating lymphocytes (TILs) from treatment-naive renal cell carcinoma (RCC) patients (n=3), as well as the minimally cultured pre-REP TILs and rapidly expanded REP TILs with a clinical-grade TIL expansion protocol. We observed that the REP TILs encompassed an abundance of CD4positive T-cells, together with increased LAG-3 and low PD-1 expression in the CD4positive and CD8positive T-cells. In addition, we observed that the TIL expansion protocol expanded small CD4positive T-cell clonotypes in the tumor microenvironment (TME), and that the large, exhausted tumor T-cell clonotypes do not expand. We further identified RCC-associated TCR motifs that were validated in multiple TCRalpha-beta-seq and scRNAand TCRalpha-beta-seq datasets, as well as quantified the RCC-associated TCRs from the REP protocol. Overall, the T-cells carrying the RCC-associated TCRs remained high in the tumors and corresponding pre-REP TILs, but the frequency was reduced in the REP TILs. Furthermore, the overall anti-viral TCRs remained low throughout the REP protocol. Our results provide an in-depth understanding of the origin, immunophenotype, and specificity of the TCRs in RCC TILs.
Project description:The project aimed to investigate differences in the gene expression profile of pericytes expressing the CD146 marker (CD146+ pericytes) isolated from the skeletal muscles of wild-type (WT) mice and mdx mice, which serve as a fundamental research model for Duchenne muscular dystrophy. The aim was to understand the differences between two cell types and their potential role in the disease progression. Pericytes were isolated from the skeletal muscles of WT and mdx mice and subsequently enriched for the CD146+ population using magnetic column sorting. After five days of in vitro culture, cells were harvested, and total RNA was extracted. Next-generation sequencing (NGS) was performed at the Next Generation Sequencing Core Facility, Center for New Technologies.
Project description:RNA-Sequencing analysis of 18 papillary thyroid carcinoma biopsies and of 4 healthy donors' thyroids. In this analysis we assessed differential gene expression and investigated the mutational landscape in this tumor type. Analysis of gene fusion was also performed, leading to the identification of a novel chimeric transcript, potential driver in tumor initiation. Total RNA isolated from 18 papillary thyroid carcinoma biopsies and 4 healthy donors' thyroids.
Project description:Here, to characterize HVDAS in a developmental setting, we generated cortical brain organoids of 5 control and 5 HVDAS lines and profiled them by single-cell RNA- and ATAC-seq. Organoids were grown for 30 days using the protocol 10.1016/j.stem.2019.08.002. To reduce batch effects and costs, and maximize coverage in terms of cell number and detected genes, we performed 3 downstream multiplexing 10.1038/s41592-024-02555-5. We grew each line independently, then single-cell dissociated 3 organoids per line, than mixed the cells and performed multiomic (10x GEX+ATAC) on 3 pools of multiple individuals. In silico sample deconvolution was performed by using ScanSNP on bulk RNA-seq from E-MTAB-15963.
Project description:Whole genome sequencing of 10 HCLc tumor and matched-germline T cells. Genomic DNA from highly purified HCLc tumor and T cell populations were utilized for library preparation using NEBNext Ultra DNA library prep kit. Sequencing was performed as 150 bp paired end sequencing using four lanes of an Illumina HiSeq4000 to an average depth of 12X. Reads from each library were aligned to the human reference genome GRCh37 using BWA-MEM (v0.7.12). The analysis of somatic genetic alterations in WGS data from tumor-germline pair HCLc samples was divided based on the nature of the mutation, as follow: single-nucleotide variants (SNVs), indels, CNAs and SVs. Moreover, COSMIC mutational signatures and subclonal architecture was inferred for each tumor.
Project description:We have observed that the expression of IFIT1, IFIT2, IFIT3 and the other genes related interferon are all elevated by GLP1R knockdown whereas reduced by GLP1RA and 2GRA in multiple lineages differentiation systems of PDLSCs. It was reported that IFIT proteins could block the formation of 43S pre-initiation complex and 48S initial complex via interacting with eIF3E and eIF3C. RIP-seq was conducted to study the transcriptome-wide occupancies of IFIT1 and eIF3C in osteogenic PDLSCs treated with GLP1R knockdown compared to regular osteogenesis.
Project description:The aim of this study was to quantify enzymes and transporters in 20 human kidney cortex fractions. Using targeted accurate mass retention time (AMRT) and global proteomic approaches, 6 UGTs, 3 CYPs, 22 transporters, 1 adhesion and 1 plasma membrane marker were quantified; Eight of these proteins were identified for the first time in the kidney. The global proteomic method identified >4000 proteins. Kidney CYP2B6, CYP3A5 and CYP4F2 showed generally low expression.