Single nucleus RNAseq of hearts from TEVs-TTN mice
Ontology highlight
ABSTRACT:
INSTRUMENT(S): NextSeq 2000
ORGANISM(S): Mus musculus
SUBMITTER: Carlos Relaño
PROVIDER: E-MTAB-14976 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:We profile single cells from patients with colorectum cancer using Chromium 3’ and 5’ single-cell RNA-sequencing. Patients EXT001, EXT009, and EXT012 from the KUL dataset were first analyzed by Lee et al., 2020, and the raw data are available in ArrayExpress under the accession codes E-MTAB-8410 and E-MTAB-8107. Patients EXT018, EXT048, EXT113, and EXT121 from KUL dataset were previously analyzed by Joanito et al., 2022. The raw data of those patients are available in EGA under the accession codes EGAD00001008584 and EGAD00001008585.
2022-09-16 | E-MTAB-9934 | biostudies-arrayexpress
Project description:Cervical cancer (CC) is one of the most common malignancy in women worldwide. It is characterized by a natural continuous phenomenon, that is, it is in the initial stage of HPV infection, progresses to intraepithelial neoplasia, and then develops into invasion and metastasis. Determining the complexity of tumor microenvironment (TME) can deepen our understanding of lesion progression and provide novel therapeutic strategies for CC. We performed the single-cell RNA sequencing on the normal cervix, intraepithelial neoplasia, primary tumor and metastatic lymph node tissues to describe the composition, lineage, and functional status of immune cells and mesenchymal cells at different stages of CC progression. A total of 59913 single cells were obtained and divided into 9 cellular clusters, including immune cells (T/NK cells, macrophages, B cells, plasma cells, mast cells and neutrophils) and mesenchymal cells (endothelial cells, smooth muscle cells and fibroblasts). Our results showed that there were distinct cell subpopulations in different stages of CC. High-stage intraepithelial neoplasia (HSIL) tissue exhibited a low, recently activated TME, and it was characterized by high infiltration of tissue-resident CD8 T cell, effector NK cells, Treg, DC1, pDC, and M1-like macrophages. Tumor tissue displayed high enrichment of exhausted CD8 T cells, resident NK cells and M2-like macrophages, suggesting immunosuppressive TME. Metastatic lymph node consisted of naive T cell, central memory T cell, circling NK cells, cytotoxic CD8+ T cells and effector memory CD8 T cells, suggesting an early activated phase of immune response. This study is the first to delineate the transcriptome profile of immune cells during CC progression using single-cell RNA sequencing. Our results indicated that HSIL exhibited a low, recently activated TME, tumor displayed immunosuppressive statue, and metastatic lymph node showed early activated phase of immune response. Our study enhanced the understanding of dynamic change of TME during CC progression and has implications for the development of novel treatments to inhibit the initiation and progression of CC.
2022-10-08 | E-MTAB-12305 | biostudies-arrayexpress
Project description:Cervical cancer (CC) is the fourth leading cause of deaths in gynecological malignancies. Although the etiology of CC has been extensively investigated, the exact pathogenesis of CC remains incomplete. Recently, single-cell technologies demonstrated advantages in exploring intra-tumoral diversification among various tumor cells. However, single-cell transcriptome (scRNA-seq) analysis of CC cells and microenvironment has not been conducted. In this study, a total of 6 samples (3 CC and 3 adjacent normal tissues) were examined by scRNA-seq. Here, we performed single-cell RNA sequencing (scRNA-seq) to survey the transcriptomes of 57,669 cells derived from three CC tumors with paired normal adjacent non-tumor (NAT) samples. Single-cell transcriptomics analysis revealed extensive heterogeneity in malignant cells of human CCs, wherein epithelial subpopulation exhibited different genomic and transcriptomic signatures. We also identified cancer-associated fibroblasts (CAF) that may promote tumor progression of CC, and further distinguished inflammatory CAF (iCAF) and myofibroblastic CAF (myCAF). CD8+ T cell diversity revealed both proliferative (MKI67+) and non-cycling exhausted (PDCD1+) subpopulations at the end of the trajectory path. We used the epithelial signature genes derived from scRNA-seq to deconvolute bulk RNA-seq data of CC, identifying four different CC subtypes, namely hypoxia (S-H subtype), proliferation (S-P subtype), differentiation (S-D subtype), and immunoactive (S-I subtype) subtype. Our results lay the foundation for precision prognostic and therapeutic stratification of CC.
2022-10-04 | E-MTAB-11948 | biostudies-arrayexpress
Project description:Bulk RNAseq of WT and TEVs-TTN hearts six days post-inoculation of AAVMYO encoding TEV protease.
2025-04-15 | E-MTAB-14993 | biostudies-arrayexpress
Project description:The heterogeneity of endothelial cells (ECs), lining blood vessels, across tissues remains incompletely inventoried. We constructed an atlas of >32,000 single-EC transcriptomic data from 11 tissues of the model organism Mus musculus. We propose a new classification of EC phenotypes based on transcriptome signatures and inferred putative biological features. We identified top-ranking markers for ECs from each tissue. ECs from different vascular beds (arteries, capillaries, veins, lymphatics) resembled each other across tissues, but only arterial, venous and lymphatic (not capillary) ECs shared markers, illustrating a greater heterogeneity of capillary ECs. We identified high-endothelial-venule and lacteal-like ECs in the intestines, and angiogenic ECs in healthy tissues. Metabolic transcriptomes of ECs differed amongst spleen, lung, liver, brain and testis, while being similar for kidney, heart, muscle and intestines. Within tissues, metabolic gene expression was heterogeneous amongst ECs from different vascular beds, altogether highlighting large EC heterogeneity.
2020-02-13 | E-MTAB-8077 | biostudies-arrayexpress
Project description:We found histological evidence for increased abundance of iron accumulating cells in association with fibrotic lung, kidney, and heart diseases in mice and humans. We showed that inducing iron accumulation by intratracheal iron delivery in mice is a potent inducer of inflammation, cellular senescence, and fibrosis. The aim of this study has been to understand the single cell dynamics of iron accumulation and the mechanics that link it to in vivo senescence and to fibrogenesis. To get deeper insight into how different cell types respond to iron accumulation, we performed single nuclei RNA sequencing (snRNA-seq) of lungs from mice which received a single intratracheal dose of iron 2 or 6 days prior to analysis, or PBS 6days prior to analysis (control).
2023-08-18 | E-MTAB-13032 | biostudies-arrayexpress
Project description:To comprehensively characterize the changes within the TME during TREM1 deficiency and anti-PD-1 immune checkpoint blockade therapy, we performed scRNA-seq analysis of the CD45+ TICs in melanoma-bearing C57BL/6 mice receiving the various treatments. We analyzed approximately 8,249 CD45+ cells from the treatment groups with t-SNE analysis, identifying 10 distinct clusters of tumor-infiltrating immune cells
2023-09-27 | E-MTAB-13300 | biostudies-arrayexpress
Project description:To comprehensively characterize the impact of TREM1 deficiency specifically within the tumor myeloid populations, we selectively enriched the CD45+CD11b+ tumor-infiltrating myeloid cells from tumor-bearing Trem1+/+ and Trem1-/- mice for scRNA-seq analysis.
2023-09-27 | E-MTAB-13246 | biostudies-arrayexpress
Project description:Acute megakaryoblastic leukemia of Down syndrome (DS-AMKL) is a model of clonal evolution from a preleukemic transient myeloproliferative disorder requiring both a trisomy 21 (T21) and a GATA1s mutation to a leukemia driven by additional driver mutations. We modelled this leukemic evolution through stepwise gene editing of GATA1s, SMC3+/- and MPLW515K providing 20 different trisomy or disomy 21 iPSC clones. Single cell analysis was performed on hematopoietic cells obtained from IPSC clones after 13 days of differentiation. Sample preparation was done at room temperature. Single-cell suspensions were loaded onto a Chromium Single Cell Chip (10x Genomics) according to the manufacturer’s instructions for co-encapsulation with barcoded Gel Beads at a target capture rate of ~10,000 individual cells per sample. Captured mRNAs were barcoded during cDNA synthesis using the Chromium Next GEM Single Cell 3' GEM, Library & Gel Bead Kit v3.1 (10X Genomics) according to the manufacturer’s instructions. All samples were processed simultaneously with the Chromium Controller (10X Genomics) and the resulting libraries were prepared in parallel in a single batch. We pooled all of the libraries for sequencing in a single SP Illumina flow cell. All of the libraries were sequenced with an 8-base index read, a 28-base Read1 containing cell-identifying barcodes and unique molecular identifiers (UMIs), and a 91-base Read2 containing transcript sequences on an Illumina NovaSeq 6000.
2022-09-29 | E-MTAB-11036 | biostudies-arrayexpress
Project description:To characterize the consequences of cytokine stimulation, we compared ET02-GLIS2 expressing cells from different origins by single cell transcriptomes (scRNAseq). We analysed FL and CB ET02-GLIS2-expressing CD34+ progeny after 7 days in vitro, human cells from diseased NSG (FL- and FBM-derived) and NSGS (CB- and FL-derived) recipients.
2024-10-08 | E-MTAB-14140 | biostudies-arrayexpress