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• Spatial omics analysis of non-small cell lung cancers for revealing molecular statuses of intratumor heterogeneity and tumor microenvironment

  In this study, we perform spatial transcriptome analysis Visium/Xenium and other omics analysis using surgical specimens of Japanese non-small cell lung cancer cases to understand omics statuses of cancer cells and their surrounding stromal and immune cells in local tumor regions. We aim to stratify lung cancer patients with considering intratumor heterogeneity and complicated microenvironent of lung cancer tissues by using spatial omics data and histopathological information.

  Study JGAS000613

• Genomic Analysis of Nucleic Acid Sequences from Pancreatic Cancer

  Our study aims to perform multi-omics analysis of pancreatic ductal adenocarcinoma. We performed dual single-cell RNA sequencing and whole genome sequencing on fresh tumor specimens and dual bulk RNA-sequencing and 16S amplicon sequencing on frozen tumor specimens to identify human and non-human nucleic acid sequences. Additionally, we identified microbial sequences and found that bacterial taxonomic profiles from the same sample strongly correlated across technologies.

  Study phs003035

• HiDEF-seq single-molecule sequencing of single-strand mismatches and damage

  Our study sought to resolve, with single-molecule fidelity, the mismatches and damage events that precede DNA mutations. Using a novel single-molecule, long-read sequencing method (HiDEF-seq) we detect base substitutions when present in either one or both DNA strands. We also detect cytosine deamination, a common type of DNA damage, with single-molecule fidelity. This study profiled 134 samples from diverse tissues, including from individuals with cancer predisposition syndromes. These samples revealed single-strand mismatch and damage signatures. Since double-strand DNA mutations are only the endpoint of the mutation process, our approach enables new studies of how mutations arise in a variety of contexts, especially in cancer and aging.

  Dataset EGAD50000000460

• A whole genome analysis of single fetal human stem cells from the liver and the intestine

  Mutations of embryonic and fetal origin have the potential to affect a large proportion of adult cells and may alter cancer predisposition or lead to genetic disease syndromes. We have recently shown that human adult-stem cells progressively acquire approximately 40 novel tissue-specific mutations per year throughout postnatal life. Prenatal mutation rates are as yet unknown. Here we determined genome-wide mutation patterns of single stem cells in human development by sequencing of clonally expanded intestinal and liver organoid cultures of 2nd trimester human foetuses. Our results show that mutation rates in fetal stem cells are significantly higher than in adult stem cells.

  Study EGAS00001002886

• Study of Leukemia Stem Cells in B-ALL

  This study focused on the biologic properties of human B acute lymphoblastic leukemia (ALL) stem cells. We used human leukemia cell lines, primary patient specimens, and patient derived xenografts in experiments using ChIP-seq, bulk RNA sequencing, single cell RNA sequencing, and CITE-seq.

  Study phs002492

• 3D chromatin analysis of clear cell renal cell carcinoma using micro-C

  To investigate the 3D structure of chromatin in ccRCC, we performed micro-C on 3 ccRCC cell lines (786-O, A498, UMRC-2), and 1 normal kidney epithelium cell line (HK-2), cultured under normoxic (20% O2) and hypoxic (0.05% O2) conditions

  Study EGAS50000001323

• CRISPRi/a of GATA2/NR4A2/SOX17 upon spontaneous iPSC differentiation

  Arrayed CRISPR screens, modulating the expression of key lineage TFs GATA2 (mesoderm), SOX17 (endoderm), and NR4A2 (neuroectoderm) in hiPSCs via CRISPR interference or activation over a time-course of spontaneous differentiation (days cultured in vitro: 0, 4, 12, and 18).

  Study EGAS50000000819

• Raw and processed Spatial Transcriptomics data of Choroid Plexus Tumours

  This dataset contains raw sequencing and processed data of spatially resolved transcriptomes. The data were generated with 10X Visium probe-based assay of FFPE tissues of 14 CPT tumour resections and 2 non-neoplastic reference samples. Raw data contain two-lane fastq files of the sequencing. Processed data contain alinged and filteres count matrices as well as positional files as generated by 10x SpaceRanger

  Dataset EGAD50000002319

• RNA-seq data of proliferative vitreoretinal diseases and healthy human retinal pigment epithelium

  This dataset contains RNA-seq data generated from surgical specimens of proliferative vitreoretinal diseases (including proliferative vitreoretinopathy and epiretinal membranes) and from retinal pigment epithelial cells isolated from post-mortem donor eyes. Total RNA was extracted and cDNA libraries were prepared using the Ovation Solo RNA-seq Kit (Tecan). Sequencing was performed on the Illumina NovaSeq 6000 platform. Raw FASTQ files are included to enable downstream analyses such as gene expression profiling.

  Dataset EGAD50000001780

• Spatial Profiling Reveals Resistance in HER2+ Gastric Cancer

  HER2-positive gastric cancer (HER2+ GC) exhibits significant intra-tumoral heterogeneity and frequent development of resistance to HER2-targeted therapies. This study aimed to characterize the spatial tumor microenvironment (TME) and identify mechanisms of resistance to HER2 blockade including trastuzumab and trastuzumab deruxtecan (T-DXd) in HER2+ GC, with the goal of informing novel therapeutic strategies. We performed spatial transcriptomics on pre- and post-treatment samples from patients with HER2+ metastatic GC who received trastuzumab-based therapy.

  Dataset EGAD50000000898