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• Single-cell RNA sequencing of Small Intestinal Neuroendocrine Tumors (SI-NET)

  Single-cell RNA sequencing (scRNA-seq) was performed on cells isolated from intestinal mucosa and small intestinal neuroendocrine tumors (SI-NETs) to compare their transcriptomic profiles. Tumor and adjacent normal tissues were collected from two SI-NET patients, enzymatically dissociated, and processed into single-cell suspensions. Single-cell libraries were generated using the Chromium Single Cell 3′ Reagent Kit v3 and sequenced on an Illumina platform to produce FASTQ files for downstream analysis.

  Dataset EGAD50000002265

• ZFHX4 is necessary for dopaminergic neuron differentiation and controls cell cycle by regulating LIN28A

  ZFHX4 as a transcription factor specifically induced during the in vitro differentiation of iPSC-derived mDANs. Depletion of ZFHX4 during neuronal differentiation led to a significant reduction in the number of mDANs while its overexpression did not lead to any changes in mDAN count. Identification of ZFHX4 target genes using CUT&Tag profiling and RNA-seq upon ZFHX4 knock-down (KD) revealed its involvement in cell cycle regulation during mDAN differentiation

  Dataset EGAD50000001605

• Somatic L1 retrotransposition mapping in high-grade serous ovarian carcinoma using LDI-PCR/Nanopore-sequencing

  Somatic L1 retrotransposition was mapped in high-grade serous carcinoma (HGSC) tumors using LDI-PCR/Nanopore-seq method. This method identifies somatic L1 insertions originating from two active L1 loci at chr22q12.1 and chrXp22.2. Multiple tumors from the same patient were utilised to understand L1-mediated intrapatient heterogeneity. Long-read data generated by LDI-Nanopore sequencing was aligned to the reference genome (GRCh38).

  Dataset EGAD50000001707

• WGS Data from 42 Multi-Region Sampled IPMN-PDACs and 12 Matched Normal Samples

  This dataset contains whole genome sequencing (WGS) data from 42 IPMN-PDAC and 12 normal samples, with tumours collected from multiple regions within each tumour to capture intra-tumour heterogeneity. Tumour and matched normal samples were sequenced to study somatic mutations, structural variants, copy number alterations, mutational signatures and clonal evolution during IPMN-PDAC progression. The sequencing was performed using Illumina NovaSeq instrument with 150 bp paired-end reads.

  Dataset EGAD50000001687

• Human brain development single cell sequencing additional samples

  69 tissue samples from various parts of the developing human embryo brain were dissociated and single cells were collected and processed without bias for mRNA-seq using 10X chromium 3' protocol. Libraries were sequenced on Illumina NovaSeq and reads aligned against the human GRCh38 genome. This is an addition to EGAD00001006049 Human development single cell sequencing, consisting of samples added after the original submission to EGA, but included in final paper.

  Dataset EGAD50000001295

• RNAseq of pre- and post-5AZA-treated head and neck cancer patients refractory to anti-PD-1 therapy

  RNA sequencing (RNA-seq) was performed on baseline (before low-dose 5-aza treatment) and on-treatment (low-dose 5-aza treatment for 5 or 10 days) tumor samples from eight participants with head and neck cancer who were refractory to anti-PD-1 therapy. RNA library preparations, sequencing reactions, and initial bioinformatics analyses were conducted at GENEWIZ, LLC. In total, 16 150-bp pair-end RNAseq data were generated.

  Dataset EGAD50000001010

• RNA-seq of der(1;7)(q10;p10) myeloid neopalsms

  This data set contains the RNA-seq BAM files for der(1;7)(q10;p10) MDS cases, -7/del(7q) MDS cases, and OTHER MDS cases. The CD34 selected RNA were collected from patient BM/PB. The dataset was used to identify the unique expression profiles for der(1;7)(q10;p10) MDS cases compared to non-der(1;7)(q10;p10) MDS cases.

  Dataset EGAD50000000985

• Clinical data and mapping file

  Patient demographic characteristics, treatment, and survival data for IMbrave151 (N = 162), with one patient per line. Mapping file to map anonymized subject IDs to RNAseq IDs

  Dataset EGAD50000000569

• A comprehensive DNA methylation landscape of human and mouse cell lines derived from hematological malignancies

  The dataset from Infinium Human MethylationEPIC v1.0 (IDAT files) includes 91 primary samples from patients with B-cell acute lymphoblastic leukemia (B-ALL) (n=34) and T-cell acute lymphoblastic leukemia (T-ALL) (n=57). This dataset was used in the article "A Comprehensive DNA Methylation Landscape of Human and Mouse Cell Lines Derived from Hematological Malignancies" to validate differentially methylated CpG sites, which were utilized to classify hematologic malignancies.

  Dataset EGAD50000000888

• WES profiles from the CheckMate-274 clinical trial

  The dataset contains WES profiles of 487 patients from the CA209-274 clinical trial. The Allprep DNA/RNA FFPE kit was used to simultaneously purify genomic DNA and total RNA from formalin-fixed, paraffin embedded (FFPE) tissue sections. Normalized WES libraries were pooled and sequenced on Illumina NovaSeq 6000 at a plex level appropriate to the coverage of tumor: 2 × 100 bp PE 100 M reads, germline: 2 × 100 bp PE 25 M reads.

  Dataset EGAD50000000792