Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated transcriptome and trajectory analysis of cutaneous T-cell identifies putative precancer cell populations

ABSTRACT: Integrated transcriptome and trajectory analysis of cutaneous T-cell identifies putative precancer cell populations

PROVIDER: PRJNA811209 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18175900.fastq.gz	Fastqsanger.gz
	SRR18175901.fastq.gz	Fastqsanger.gz
	SRR18175902.fastq.gz	Fastqsanger.gz
	SRR18175903.fastq.gz	Fastqsanger.gz
	SRR18175904.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 28

Similar Datasets

Integrated transcriptome and trajectory analysis of cutaneous T-cell lymphoma identifies putative precancer populations.

Project description:The incidence of cutaneous T-cell lymphoma (CTCL) increases with age, and blood involvement portends a worse prognosis. To advance our understanding of the development of CTCL and identify potential therapeutic targets, we performed integrative analyses of paired single-cell RNA and T-cell receptor (TCR) sequencing of peripheral blood CD4+ T cells from patients with CTCL to reveal disease-unifying features. The malignant CD4+ T cells of CTCL showed highly diverse transcriptomic profiles across patients, with most displaying a mature Th2 differentiation and T-cell exhaustion phenotype. TCR-CDR3 peptide prediction analysis suggested limited diversity between CTCL samples, consistent with a role for a common antigenic stimulus. Potential of heat diffusion for affinity-based trajectory embedding transition analysis identified putative precancerous circulating populations characterized by an intermediate stage of gene expression and mutation level between the normal CD4+ T cells and malignant CTCL cells. We further revealed the therapeutic potential of targeting CD82 and JAK that endow the malignant CTCL cells with survival and proliferation advantages.

| S-EPMC9979716 | biostudies-literature

Integrated transcriptome and trajectory analysis of cutaneous T-cell identifies putative precancer cell populations

Project description:We used human peripheral blood samples as scRNA seq resource.

2022-08-05 | GSE197619 | GEO

Gene expression of CD66 expressing cells in cervical precancer cell line

Project description:Gene Expression profiles of sorted CD66High and CD66Low cells were generated from CIN612-9E cells grown in Emedia. We have analyzed the gene expression pattern of CD66High and CD66Low cells from CIN612 9E. These cells are derived from a cervical precancer lesion (M. Bedell, J. Hudson, T. Golub et al, 1991, J. Virol) Two sets of experiments (biological replicates) were performed for CD66High and CD66Low cells.

2014-09-30 | E-GEOD-59322 | biostudies-arrayexpress

Gene expression of CD66 expressing cells in cervical precancer cell line

2014-09-30 | GSE59322 | GEO

Temporal recording of mammalian development and precancer

Project description:Temporal recording of mammalian development and precancer

| PRJNA984615 | ENA

Development of colorectal cancer gene expression signatures from expression profiles of embryonic development, precancer progression and cancer samples

Project description:To further development of our gene expression signature for survival prediction, we conducted expression profiles of embryonic development, precancer progression and cancer samples.

2017-02-09 | GSE71187 | GEO

Development of colorectal cancer miRNA expression signatures from expression profiles of embryonic development, precancer progression and cancer samples

2017-02-09 | GSE71130 | GEO

Spatiotemporally Deciphering the Unknown Role of Persistent HPV Infection in Precancer to Cervical Cancer Progression: Integrating Single-Cell RNA-Sequencing Landscape and Spatial Transcriptomics Atlas [Spatial Transcriptomics]

Project description:The mechanism underlying the cervical carcinogenesis mediated by persistent HPV infection remains elusive. Here we pioneeringly deciphered both temporal transition and spatial distribution of the cellular subsets during the disease progression from normal cervix, precancer lesions to cervical cancer by integrating scRNA-seq with ST. We not only identified three ‘HPV-related epithelial clusters’ unique to normal, HSIL and cervical cancer respectively, but also discovered node genes which potentially determined the disease progression. Moreover, we observed a gradual transition of multiple immune cells from positive immune response to dysregulation and exhaustion, to an immune-suppressive microenvironment during the malignant program. Besides, the cellular interaction analysis further verified a ‘homeostasis-balance-malignancy’ change within cervix microenvironment during disease escalation. Together, these findings not only deciphered mysterious persistent HPV infection spatiotemporally from the process of precancer to cervical cancer but also provided unprecedented possibilities for accurate diagnosis, precise treatment and prognosis evaluation for precancer and cervical cancer.

2023-04-02 | GSE208654 | GEO

2023-04-02 | GSE208653 | GEO

Study of cutaneous biology of cutaneous T cell lymphoma

Project description:Study of cutaneous biology of cutaneous T cell lymphoma

| PRJNA785707 | ENA