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• Epigenetic memory of SARS-CoV-2 mRNA vaccination in monocyte-derived macrophages

  Immune memory is key to effective antimicrobial responses, but the impact of mRNA vaccines on this process is not fully understood. Our research shows that SARS-CoV-2 mRNA vaccines alter the epigenetic profile of human macrophages, specifically enhancing histone acetylation, which is linked to immune training. Significant epigenetic changes, along with increased cytokine release, require two vaccine doses. However, these effects diminish over time but can be restored with a booster dose six months later, maintaining a strong pro-inflammatory response.

  Dataset EGAD50000000495

• Impact of allogeneic umbilical-cord derived mesenchymal stromal cells on B-cell scRNAseq in patients with systemic lupus erythematosus

  The impact of MSC(UC) on peripheral B cells from Systemic Lupus Erythematosus (SLE) patients was studied by 10X scRNAseq. This scRNAseq study encompassed 3 SLE patients at 3 time points: before or after (1 month, and 3 months) MSC injection in order to analyze B cell subsets and their DEG. The aim of this study was to observe the potential changes of B cell subsets after MSC(UC) injection in SLE patients.

  Dataset EGAD50000000471

• RnaSeq data from 414 tumor samples with non muscle invasive bladder cancer

  A better understanding of the molecular landscape of non-muscle-invasive bladder cancer (NMIBC) is essential to improve risk assessment and identify potential therapeutic targets. Here, we perform a comprehensive genomic analysis of patients diagnosed with NMIBC based on whole-exome- (n=438), shallow whole-genome- (n=362), and total RNA-sequencing (n=414). This dataset contains 414 BAM files corresponding to the full total RNA-sequencing dataset.

  Dataset EGAD50000000733

• WES data from study: Molecular underpinnings of dedifferentiation and aggressiveness in chromophobe renal cell carcinoma

  The ChRCC study WES dataset contains raw whole exome sequencing data of 17 tumor and 7 adjacent normal samples from 7 UTSW patients, who have consented to depositing their genomic data to public repository. WES was performed using 75bp paired-end fragments at an average read depth > 100x on a HiSeq2500 platform (Illumina, San Diego, CA, USA). The raw data is in fastq format.

  Dataset EGAD50000000415

• Whole-genome enzymatic DNA methylation sequencing and single-cell RNA sequencing data from nasal cells of COVID-19 patients

  Nasal swabs were collected from COVID-19 patients during the acute phase of infection as well as 3 and 12-months post-infection. Cells isolated from nasal swabs were subjected to whole-genome enzymatic DNA methylation sequencing (n=33) and scRNA-seq (n=24). For n=12 former COVID-19 pateints, follow-up samples were collected at 3 and 12 months post-infection and subjected to scRNA-seq.

  Dataset EGAD50000000398

• WES data from tumors and matching controls collected from 11 UTSW translocation renal cell carcinoma (tRCC) patients.

  This study investigates translocation renal cell carcinoma (tRCC) to identify mutations contributing to tRCC progression. The analysis relies on Whole Exome Sequencing (WES) data obtained from 11 patients treated at University of Texas Southwestern Medical Center (UTSW) affiliated hospitals, including Parkland Hospital and Children’s Medical Center. Tumor samples and their corresponding normal DNA were sequenced using the Illumina platform.

  Dataset EGAD50000000171

• Nurminen et al ("GP2Men") Study Primary and Metastatic Prostate Cancer Whole Genome Sequence Data

  We used novel processing techniques to obtain whole genome data together with 3D anatomic and histomorphologic analysis in two men (GP5 and GP12) with high risk PrCa undergoing radical prostatectomy. A total of 22 whole genome-sequenced sites (16 primary cancer foci and 6 lymph node metastatic) were analyzed using evolutionary reconstruction tools and spatio-evolutionary models. Probability models were used to trace spatial and chronological origins of the primary tumor and metastases, chart their genetic drivers, and distinguish metastatic and non-metastatic subclones.

  Dataset EGAD50000000005

• ETMR_Nanostring

  Total RNA (100ng) from 21 ETMRs with C19MC structural alterations and 28 other PBTs was prepared with nCounter miRNA Sample Prep Kit according to standard protocol. miRNA expression profiling was conducted with human v1, v2, or v3 miRNA panel on nCounter miRNA expression platform (NanoString Technologies, Seattle, WA) according to manufacturer’s protocol. Signal normalization was done using nSolver Analysis and batch corrected using ComBat (Johnson et al. Biostatistics. 2007). 565 miRNAs overlapped between all three versions and was used for further analyses. Fold change and supervised t-test with FDR correction was calculated between the ETMRs and other PBTs.

  Dataset EGAD00010001701

• Whole Mitochondrial DNA sequencing of Gingivo-buccal Cancer : ICGC-India Project

  This dataset pertains to mitochondrial DNA amplicon sequencing of paired DNA samples from gingivo-buccal oral cancer patients. DNA was isolated from the tumor and blood tissues of 89 patients (178 samples). The sequencing libraries were prepared from whole mitochondrial amplicons using Nextera XT DNA Library Preparation Kit (Illumina) and sequenced in Illumina HiSeq platform. The uploaded BAM files are generated by aligning paired-end reads to the mitochondrial reference sequence (rCRS) using BWA-MEM.

  Dataset EGAD00001004987

• Comprehensive genomic characterization of early stage bladder cancer - Total RNA-seq data

  This study looks at the non muscle invasive bladder cancer subtypes based on totRNAseq data of 414 bladder cancer samples collected in different European centers within the UROMOL project. All samples were sequenced using paired reads on Illumina platforms. The reads are mapped to hg38.

  Study EGAS50000000512