Project description:RNA was isolated from purified human CD8 cells that were incubated with anti-HER2/CD3 TDB in the presence of SK-BR-3 cells. This dataset only contains the metadata and processed data. Raw data can be accessed via the EGA accession EGAS00001003734
Project description:Single-cell RNA-seq libraries were generated from human PBMCs that were incubated with anti-HER2/CD3 TDB in the presence of KPL-4 cells. This dataset only contains the metadata and processed data. Raw data can be accessed via the EGA accession EGAS00001003734
Project description:This dataset was created in order to evaluate the concordance of miRNA expression between serum and plasma in humans. miRNA expression was quantified in both biological materials using sequencing. Differential expression and correlations analysis were used to evaluate similarities and differences between miRNAs abundance in plasma and serum. Concurrently, miRNA quantification in the subset of these samples was performed by qPCR, the results of which belong to the separate submission to GEO. Generation of this dataset was supported by The Gray Foundation grant “Circulating microRNAs for assessment of risk beyond the BRCA genes and early detection of breast cancer in high-risk families” awarded to Dipanjan Chowdhury and Polish National Research Center grant OPUS “Predictive Potential of Circulating MicroRNA Biomarkers in Patients with High Familial or Genetic Risk of Cancer” (2023/49/B/NZ5/03835) awarded to Wojciech Fendler.
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:This dataset contains serum miRNA expression of 94 healthy women, among which 56 harbored germline BRCA1 or BRCA2 mutations. MicroRNA abundance was quantified with sequencing and qPCR, the latter being the subject of separate GEO submission. Data was analyzed with the aim of assessing concordance between two miRNA assays and the possibility of translating miRNA biomarkers from sequencing to qPCR panel. Generation of this dataset was supported by The Gray Foundation grant “Circulating microRNAs for assessment of risk beyond the BRCA genes and early detection of breast cancer in high-risk families” awarded to Dipanjan Chowdhury and Polish National Research Center grant OPUS “Predictive Potential of Circulating MicroRNA Biomarkers in Patients with High Familial or Genetic Risk of Cancer” (2023/49/B/NZ5/03835) awarded to Wojciech Fendler.
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:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 29 samples of primary cells or cultured primary cells of different haemopoeitc lineages from cord blood are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of EGA data sets is EGAD00001001165. Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. The mapping of samples to these EGA accessions can be found in the 'Sample Data Relationship Format' file of this ArrayExpress record. Information on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 4 samples of primary cells from tonsil with cell surface markes CD20med/CD38high in young individuals (3 to 10 years old) are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of EGA data sets is EGAD00001001523. Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. The mapping of samples to these EGA accessions can be found in the 'Sample Data Relationship Format' file of this ArrayExpress record. Information on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu
Project description:Hairpin-containing pre-miRNAs are precursors of microRNAs (miRNAs) that play important roles in cellular processes and various human diseases. Pre-miRNAs are produced from longer primary transcripts (pri-miRNAs). The falsity in cellular expression and sequences of pre-miRNAs might cause cellular defects or human diseases. However, the current pre-miRNA quantification methods by qPCR cannot discriminate between pre-miRNAs and their parental pri-miRNAs. In addition, the ligation of the sequencing adapter to 5’-end of pre-miRNAs is inefficient, therefore, pre-miRNA sequencing is highly impractical. Here, we developed a method, called the intramolecular ligation method (iLIME) for pre-miRNA quantification and sequencing. This method utilized T4 RNA ligase 1 to convert hairpin-pre-miRNAs into circularized RNAs that do not naturally exist in cells. The resulting circuliarized RNAs allow us to design unique primers to quantify pre-miRNAs by qPCR specicially, and thus this qPCR can distinguish pre-miRNA from pri-miRNAs. In addition, the iLIME also allows us to sequence pre-miRNAs using next-generation sequencing. The iLIME method offers a simple and effective way to quantify and sequence pre-miRNAs. This will be useful in investigating pre-miRNAs for addressing research questions for medical applications. The iLIME can be potentially extended to other hairpin-containing RNAs, such as tRNAs and snRNAs.