Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell RNA sequencing of skin T cells from patient with mycosis fungoides

ABSTRACT: Capture and processing of single skin T cells from patient with mycosis fungoides was performed using the Fluidigm C1 Autoprep system. Cells were loaded at a concentration of 2,000 cells/μL onto C1 integrated fluidic circuits (IFC) chips for 5-10 μm cells. All C1 capture sites were microscopically inspected to determine the sites containing only a single cell. Empty sites and those with multiple cells were excluded from further analysis. ERCC (External RNA Controls Consortium) spike-in RNAs were added and served as a control. SMARTer Ultra Low RNA Kit (Clontech) was used for reverse transcription and cDNA preamplification. The cDNA products from each cell were then used to prepare Illumina sequencing libraries and then sequenced on Illumina HiSeq2500 using single-end 100-base reads. Gene expression was quantified using Kallisto and then normalized to TPM values

ORGANISM(S): Homo sapiens

PROVIDER: GSE179841 | GEO | 2021/08/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single-cell RNA-seq investigation of skin and blood T cells from patients with cutaneous T-cell lymphoma

Project description:Capture and processing of single skin and blood T cells was performed using the Fluidigm C1 Autoprep system. Cells were loaded at a concentration of 2,000 cells/µL onto C1 integrated fluidic circuit chips for 5–10-µm cells. All C1 capture sites were microscopically inspected to identify the sites that contained only a single cell. Empty sites and those with multiple cells were excluded from further analysis. External RNA Controls Consortium spike-in RNAs served as a control. The SMARTer® Ultra® Low RNA Kit (Clontech) was used for reverse transcription and cDNA pre-amplification. The single-cell cDNA products from each cell were then used to prepare Illumina sequencing libraries and sequenced as paired-end 150-base reads on the Illumina HiSeq 4000 platform. Quality control was performed using FastQC v. 0.11.7 (Babraham Bioinformatics), and the adaptors and low-quality bases with a Phred quality score <20 were trimmed from the ends of the reads using Trim Galore v. 0.4.4 (Babraham Bioinformatics)

2023-12-28 | GSE224449 | GEO

Interventions for mycosis fungoides.

Project description: Not available

| S-EPMC7389258 | biostudies-literature

Mycosis fungoides

Project description:Mycosis fungoides (MF) is the most common and best studied of cutaneous T-cell lymphoma (CTCL). Three clinical cutaneous stages have been described (patch, plaque and tumor) as the disease progress developing also the disease lymph node, peripheral blood or systemic involvement in late stages. Clinical and pathologic diagnosis of early MF stages (patch and plaque) is difficult as its morphologic similarity to inflammatory dermatoses and low proportion of tumoral cells.

2018-06-21 | GSE109421 | GEO

Gene expression profiling of mouse liver cells

Project description:We generated the individual transcriptomes of 96 liver cells using the Fluidigm C1 platform. In brief, a suspension of cells was prepared from the liver of a 14-week old B6CastF1 (C57Bl/6J mother x CAST/Ei father) female mouse and loaded onto a 10-17 m C1 Single-Cell Auto Prep IFC (Fluidigm), and cell capture was performed according to the manufacturers instructions.

2016-02-08 | E-MTAB-3707 | biostudies-arrayexpress

Mycosis fungoides

Project description:Mycosis fungoides

| PRJNA430861 | ENA

The Neoantigen Landscape of Mycosis Fungoides.

Project description:BackgroundMycosis fungoides (MF) is the most common cutaneous T-cell lymphoma, for which there is no cure. Immune checkpoint inhibitors have been tried in MF but the results have been inconsistent. To gain insight into the immunogenicity of MF we characterized the neoantigen landscape of this lymphoma, focusing on the known predictors of responses to immunotherapy: the quantity, HLA-binding strength and subclonality of neoantigens.MethodsWhole exome and whole transcriptome sequences were obtained from 24 MF samples (16 plaques, 8 tumors) from 13 patients. Bioinformatic pipelines (Mutect2, OptiType, MuPeXi) were used for mutation calling, HLA typing, and neoantigen prediction. PhyloWGS was used to subdivide malignant cells into stem and clades, to which neoantigens were matched to determine their clonality.ResultsMF has a high mutational load (median 3,217 non synonymous mutations), resulting in a significant number of total neoantigens (median 1,309 per sample) and high-affinity neoantigens (median 328). In stage I disease most neoantigens were clonal but with stage progression, 75% of lesions had >50% subclonal antigens and 53% lesions had CSiN scores <1. There was very little overlap in neoantigens across patients or between different lesions on the same patient, indicating a high degree of heterogeneity.ConclusionsThe neoantigen landscape of MF is characterized by high neoantigen load and significant subclonality which could indicate potential challenges for immunotherapy in patients with advanced-stage disease.

| S-EPMC7719792 | biostudies-literature

Mycosis Fungoides and Sezary Syndrome: An Update.

Project description:Cutaneous T-cell lymphomas are a heterogeneous collection of non-Hodgkin lymphomas that arise from skin-tropic memory T lymphocytes. Among them, mycosis fungoides (MF) and Sézary syndrome (SS) are the most common malignancies. Diagnosis requires the combination of clinical, pathologic, and molecular features. Significant advances have been made in understanding the genetic and epigenetic aberrations in SS and to some extent in MF. Several prognostic factors have been identified. The goal of treatment is to minimize morbidity and limit disease progression. However, hematopoietic stem cell transplantation, considered for patients with advanced stages, is the only therapy with curative intent.

| S-EPMC7147244 | biostudies-literature

Single cell RNA-sequencing of lineage-negative fraction of stromal cells isolated from inguinal white adipose tissue in mouse

Project description:A subset of adipocytes residing within the inguinal white adipose tissue (ingWAT) of mice exhibit thermogenic activity in response to various external stimuli, including cold exposure. The inducible nature of this thermogenic response, coupled with its robust energy-depleting capacity have prompted investigation into the adipose precursor cells (APCs) from which thermogenic adipocytes derive. To this end, we performed single-cell transcriptomics on cells derived from ingWAT, interscapular brown adipose tissue (iBAT) and epididymal WAT. A subset of single cells collected from ingWAT and epiWAT of mice were chronically (4 days) treated with CL-316,243 (dose at 1 mg kg -1). Tissues of n=28, 10 week-old mice were digested and stromal cells were subsequently purified via differential centrifugation. Single-cell RNA extraction and mRNA amplification were performed on the C1™ Single-Cell Auto Prep Integrated Fluidic Circuit (IFC) following the protocol (PN 100-7168, http://www.fluidigm.com/). Following centrifugation and removal of the medium, cells were resuspended at a concentration of 150–500 cells/μL. This cell suspension was mixed with C1 Cell Suspension Reagent (Fluidigm, Cat # 634833) at the recommended ratio of 3:2 immediately before loading 5 μL of this final mix on the C1 IFC. We obtained, on average, 2.5 million mapped reads per one single cell and successfully reconstructed single-cell expression of ~9,000 genes. Our results revealed a unique cluster of cells that exhibited enriched expression of canonical thermogenic and adipogenic gene markers. Notably, we identified tetraspanin CD81 as a discretely expressed membrane-bound protein conserved specifically within this population. All experiments were performed at our facility at the University of California, San Francisco.

2020-04-24 | E-MTAB-8464 | biostudies-arrayexpress

miRNA expression profiling of mycosis fungoides.

Project description:MicroRNAs (miRNAs) are small RNA species that regulate gene expression post-transcriptionally and are aberrantly expressed in many malignancies including lymphoma. However, the role of miRNAs in the pathogenesis of T-cell lymphoid malignancies is poorly understood. Previously we examined the miRNA profile of Sézary syndrome (Sz), a leukemia of skin-homing memory T cells. In this study we determined the complete miRNome of mycosis fungoides (MF), the most common type of cutaneous T cell lymphoma. The miRNA profile of skin biopsies from 19 patients with tumor stage MF and 12 patients with benign inflammatory dermatoses (eczema and lichen planus) were compared by microarray analysis. We identified 49 miRNAs that are differentially expressed in tumor stage MF compared to benign inflammatory dermatoses using ANOVA analysis (P < 0.05, Benjamini-Hochberg corrected). The majority of the differentially expressed miRNAs (30/49) were up-regulated in tumor stage MF. The most significant differentially expressed were miR-155 and miR-92a (both up-regulated in tumor stage MF), while miR-93 showed the highest up-regulation in tumor stage MF with a fold difference of 5.8. Differential expression of a selection of these miRNAs was validated by miRNA-Q-PCR on additional test groups (tumors and controls). None of the miRNAs up-regulated in tumor stage MF was previously shown to be up-regulated in Sz, and only 2 of the 19 miRNAs down-regulated in tumor stage MF were also down-regulated in Sz. Taken together this report is the first describing the miRNA signature of tumor stage MF.

| S-EPMC5528293 | biostudies-other

Single-cell RNA-seq of NR5A1-eGFP positive cells of the developing mouse ovary from E10.5 to P6

Project description:Purpose: We performed a time-course single-cell RNA-seq of the somatic cells of the XX mouse gonads to study the cell population heterogeneity and the genetic program during their differentiation. Methods: We collected gonads from NR5A1-eGFP transgenic embryos at six embryonic stages: E10.5, E11.5, E12.5, E13.5, E16.5 and P6. Methods: Cells were capture with the C1 autoprep system and cDNA sequenced with Illumina HiSeq 2000. Results: One cell population was detected at E10.5 and give rise to both Granulosa and steroidogenic precursor cells. A precursor cell population remains undifferentiated at P6 and are likely to be theca cell precursors. Conclusion: Our study is, to date, the most granular transcriptomic study of the developing mouse ovary and provide a more complete model of somatic cell differentiation during female sex determination.

2018-12-31 | GSE119766 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data