Project description:This dataset was utilized to investigate the impact of key preanalytical factors on the preparation of formalin-fixed, paraffin-embedded (FFPE) tissue samples and subsequent library construction for RNA-sequencing analysis. The dataset consists eight RNA-Seq data, derived from two colorectal cancer (CRC) patient samples obtained from Prince of Wales Hospital in Hong Kong.
Project description:This dataset was applied to evaluate the performance of a deep learning framework, FFPERescuer, specifically designed to reconstruct gene expression profiles from RNA sequencing data derived from FFPE (formalin-fixed, paraffin-embedded) tumor tissues. The dataset includes a total of 12 RNA-Seq samples, comprising 10 FFPE tumor tissue samples from colorectal cancer (CRC) cases collected in Amsterdam, the Netherlands, with 2 duplicate samples included for reproducibility assessment. The corresponding gene expression profiles from fresh-frozen tumor tissues for these 10 cases are available in the dataset GSE33113, generated using microarray technology.
Project description:CTCF ChIP-seq of 39 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011059 (dataset).
Project description:H3K27ac ChIP-seq of 79 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). In addition, 4 samples derived from CD34+ cord blood cells of healthy donors were included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011060 (dataset).
Project description:Genome-wide DNA methylation profiles were generated from whole blood of Korean companion dogs (n = 84) using the Illumina HorvathMammalMethylChip40 array. Samples cover a broad age range (0.58–14 years), both sexes, and multiple breeds. The dataset provides a resource for investigating age-associated CpG variation and epigenetic aging markers in domestic dogs.
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
Project description:In the past decades, the incidence of esophageal adenocarcinoma has increased dramatically in Western populations. Better understanding of disease etiology along with the identification of novel prognostic and predictive biomarkers are urgently needed to improve the dismal survival probabilities. Here, we performed comprehensive RNA (both coding and non-coding) profiling in various samples from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were included. In total, this comprehensive dataset consists of 102 RNA-seq libraries from 51 samples. The raw data for this study have been deposited to the controlled access archive EGA under submission EGAS00001004939.
Project description:In this study, 56 semen samples were collected from healthy Korean males aged 18 to 70 and data was obtained utilizing the Illumina Infinium MethylationEPIC BeadChip array (Illumina, San Diego, CA, USA) at Macrogen Inc. (Macrogen, Seoul, Korea).