Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human colorectal cancer cell line CRC#21: ALDH-high cells vs. ALDH-low cells

ABSTRACT: Transcriptional profiling of cancer stem cells (ALDH-high cells) comparing non-cancer stem cells (ALDH-low cells), sorted out using ALDEFLUOR assay. Goal was to identity cancer stem cell-specific genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE77149 | GEO | 2016/04/01

SECONDARY ACCESSION(S): PRJNA309554

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Human colorectal cancer cell line CRC#21: ALDH-high cells vs. ALDH-low cells

Project description:Transcriptional profiling of cancer stem cells (ALDH-high cells) comparing non-cancer stem cells (ALDH-low cells), sorted out using ALDEFLUOR assay. Goal was to identity cancer stem cell-specific genes. Two-condition experiment, sphere-cultured cells vs. adherent-cultured cells: 1 ALDH-high replicate and 1 ALDH-low replicate.

2016-04-01 | E-GEOD-77149 | biostudies-arrayexpress

ALDH-positive MCF-7 cells

Project description:We used an Aldefluor assay system to study the signaling pathways that regulate the frequency and maintenance of ALDH-positive cell population in MCF-7 cells as a CSC model. Through microarray analysis, we investigated a possible receptor that increases the proportion of the ALDH-positive cell population in MCF-7 cells. MCF-7 were stained with Aldefluor and ALDH-positive cells were sorted using flow cytometry. Gene expression profiles of ALDH+ cells were compared with ALDH- cells.

2014-09-23 | E-GEOD-59653 | biostudies-arrayexpress

ALDH-positive MCF-7 cells

2014-09-23 | GSE59653 | GEO

Evaluation of gene expression between ALDH-high and ALDH-low cells in endometrial cancer-derived spheroids

Project description:To identify genes that are differentially expressed between ALDH-high and ALDH-low cells in endometrial cancer-derived spheroids, we performed whole genome microarray expression profiling as a discovery platform. Human endometrial cancer stem spheroid cells from three patients were sorted into ALDH-high and ALDH-low cells using the FACS Aria II Cell Sorter. Total RNA extracted from the cells were labeled with Cy3 and used for microarray analyses with Agilent Whole Human Genome Oligo Microarrays.

2018-12-25 | GSE123530 | GEO

RNA-Seq of ALDH positive and ALDH negative cells from patient-derived xenograft models of colon cancer

Project description:Colon cancer patient-derived xenograft (PDX) models were processed to single cells and sorted by FACS (BD FACS Aria II) for ALDH activity (Aldefluor assay) and DAPI. ALDH Negative and ALDH Positive cells from each PDX model were collected and lysed in RLT buffer and processed for RNA using the RNeasy Mini Plus RNA extraction kit (Qiagen). Samples were processed using Illumina’s TrueSeq RNA protocol and sequenced on an Illumina HiSeq 2500 machine as 2x125nt paired-end reads. Reads were mapped to the human reference genome (assembly hg19) using the STAR aligner (version 2.4.2a). Total read counts per gene were computed using the program “featureCounts” (version 1.4.6-p2) in the “subread” package, with the gene annotation taken from Gencode (version 19).

2021-01-11 | E-MTAB-8927 | biostudies-arrayexpress

RNA-Seq of ALDH positive, ALDH negative and unsorted cells from patient-derived 3D in-vitro models of colon cancer

Project description:Fluorescence-activated cell sorting (FACS) was used to separate colon tumor samples into two fractions of ALDH Negative and ALDH Positive cells using the Aldefluor Assay. RNA samples were derived from FAC-sorted 3D in-vitro models of patient-derived colon tumors. Samples from unfractionated in vitro models are also included.

2017-04-30 | E-MTAB-5209 | biostudies-arrayexpress

Transcriptomic characterisation of ALDH+ cells in therapy resistant breast cancer patient samples

Project description:This study is part of a larger multidisciplinary study entitled A dormant sub-population expressing interleukin-1 receptor characterises anti-estrogen resistant ALDH+ breast cancer stem cells. In particular these data were generated to gain understanding of the development of resistance to AE therapies in ER+ breast cancer patients by comparing the gene expression pattern between ALDH+ and ALDH- cells in 9 metastatic ER+ patient samples.

2020-06-19 | GSE136287 | GEO

KK-LC-1 as a feasible therapeutic target to eliminate ALDH+ stem cells in triple negative breast cancer

Project description:Failure to achieve complete elimination of triple negative breast cancer (TNBC) stem cells after adjuvant therapy is associated with poor outcomes. Aldehyde dehydrogenase 1 (ALDH1) is a marker of breast cancer stem cells (BCSCs), and its enzymatic activity regulates tumor stemness. Identifying upstream targets to control ALDH+ cells may facilitate TNBC tumor suppression. Here, we show that KK-LC-1 determines the stemness of TNBC ALDH+ cells via binding with FAT1 and subsequently promoting its ubiquitination and degradation. This compromised the Hippo pathway and led to nuclear translocation of YAP1 and ALDH1A1 transcription. These findings identified the KK-LC-1-FAT1-Hippo-ALDH1A1 pathway in TNBC ALDH+ cells as a therapeutic target. To reverse the malignancy due to KK-LC-1 expression, we employed a novel computational approach and discovered Z839878730 (Z8) as an small-molecule inhibitor which may disrupt KK-LC-1 and FAT1 binding. We demonstrate that Z8 suppressed TNBC tumor growth via a mechanism that reactivated the Hippo pathway and decreased TNBC ALDH+ cell stemness and viability.

2023-04-12 | PXD040200 | Pride

Expression data of CD24-CD44+ and ALDH+ cells

Project description:It has been suggested that breast cancers are driven and maintained by a cellular subpopulation with stem cell properties. These breast cancer stem cells (BCSCs) mediate metastasis and by virtue of their resistance to radiation and chemotherapy, contribute to relapse. Although several BCSC markers have been described, it is unclear whether these markers identify the same or independent BCSC populations. Based on established breast cancer cell lines, as well as primary tumor xenografts, we show that BCSCs exist in distinct mesenchymal-like (epithelial-mesenchymal transition, EMT) and epithelial-like (mesenchymal-epithelial transition, MET) states characterized by expression of distinct markers, proliferative capacity and invasive characteristics. The gene expression profiles of mesenchymal-like and epithelial-like BCSCs are remarkably similar across the different molecular subtypes of breast cancer and resemble those of distinct basal and luminal stem cells found in the normal breast. We propose that the plasticity of BCSCs allowing them to transition between EMT- and MET-like states endows these cells with the capacity for tissue invasion, dissemination and growth at metastatic sites. Breast cancer cell lines, primary xenografts and normal breast cells from patient were sorted using flow cytometry to select for cells that were CD24-,CD44+ and ALDH+. Gene expression profiles of CD24-CD44+ cells were compared with non-CD24-CD44+ cells. Gene expression profiles of ALDH+ cells were compared with ALDH- cells.

2013-11-13 | E-GEOD-52262 | biostudies-arrayexpress

CD109 expression regulates the phenotype of cancer stem-like cells or cancer-initiating cells in epithelioid sarcoma with possible impact on clinical prognosis

Project description:Several human cancers contain a small subpopulation of cells called cancer stem-like cells (CSCs)/cancer initiating cells (CICs), which are defined by the ability of self- renewal, multi-differentiation potential, and tumorigenesis. In current study, we focused on epithelioid sarcoma, which is very rare caner, and isolated CSCs/CICs from epitheloid sarcoma cell line ESX based on ALDH activity using ALDEFLUOR assay towards identification of a new CIC/CSC marker. We performed gene profiling between ALDHhigh and ALDH low cells using cDNA microarray for the identification of good markers of CSCs/CICs of epithelioid sarcoma.

2014-01-07 | E-MEXP-3826 | biostudies-arrayexpress

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