Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

MiRNA expression profiles of HBE cells at different stages

ABSTRACT: To identify miRNAs involved in ST-induced cell transformation, we used microarray chips containing 856 miRNA probes to define miRNA expression profiles in 16HBE,16HBER and 16HBERST cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE26166 | GEO | 2011/04/01

SECONDARY ACCESSION(S): PRJNA135289

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

miRNA expression profiles of HBE cells at different stages

Project description:To identify miRNAs involved in ST-induced cell transformation, we used microarray chips containing 856 miRNA probes to define miRNA expression profiles in 16HBE,16HBER and 16HBERST cells. we created HBE cells at different stages of the cell transformation process (Pang et al., 2008). In brief, primary human bronchial epithelial cells were immortalized by expressing SV40 LT and hTERT (named as HBELH cells). HBER cells were created by introduction of an oncogenic version of H-Ras into HBELH cells. In agreement with previous studies, the expression of the oncogene H-Ras led to an increase in cell proliferation; however these cells (HBER) were unable to grow in soft agar or form tumors in immunodeficient mice. Subsequently, HBERST cells generated by the additional introduction of SV40 ST into HBER cells grew in an anchorage independent fashion and formed tumors in immunodeficient mice. Therefore, these cell lines represent distinct stages of immortalized cells (HBELH), pre-transformed cells (HBER) and transformed cells (HBERST). And then, the different miRNA expression profiles of HBE cells at different stages were assayed by miRNA microarray.

2011-04-01 | E-GEOD-26166 | biostudies-arrayexpress

miRNA changes induced by Unfolded protein response

Project description:We report the results NGS based of miRNA profiling in human bronchial epithelial cells (16HBE) up on ER stress induction with Tunicamycin (2.5ug/ml) and ALLN (100uM)

2018-07-26 | GSE117629 | GEO

miRNA gene expression profiles from osteosarcoma samples and cell lines

Project description:Although the introduction of combined neoadjuvant chemotherapy has significantly prolonged the survival, the outcome of OS patients with poor response to chemotherapy is still unfavorable. To develop new therapeutics the elucidation of the entire molecular pathway regulating OS cell proliferation is warranted. We analysed the expression levels of 933 miRNA probes in surgical 24 samples and 8 cell lines of osteosarcoma with 3D-Gene human miRNA oligo chips.

2012-09-01 | GSE30934 | GEO

Comparative proteome analyses of Ophiocordyceps sinensis at different stages

Project description:In this study, using an iTRAQ quantitative approach coupled with LC-MS/MS and bioinformatics, the proteomes were analyzed for the major three stages covering the fruiting body developmental process, including sclerotium (ST), primordium (PR) and mature fruiting body (MF), with a focus on fruiting body development-related proteins and its underlying mechanisms.

2020-09-01 | PXD021260 |

Transcript profiling of different Arabidopsis thaliana ecotypes in response to Tobacco etch potyvirus infection

Project description:We have used a strain of Tobacco etch potyvirus (TEV) experimentally adapted to Arabidopsis thaliana ecotype Ler-0 to infect a set of seven A. thaliana plant ecotypes(Col-0, Ei-2, Wt-1, ler-0, Oy-0, St-0). Each ecotype was inoculated with the same amount of the virus. Using commercial microarrays containing probes Arabidopsis thaliana ssp. Col-0 plant transcripts, we explored the effect of viral infection in the plant transcriptome

2012-07-04 | GSE37269 | GEO

MicroRNA microarray of Haemonchus contortus lifecycle stages and gut tissue

Project description:Examined expression of microRNAs in different life-cycle stages and gut tissue of the pathogenic nematode Haemonchus contortus and identified differentially expressed miRNAs. Custom array contained probes to 609 Haemonchus contortus miRNA sequence (all mature and start miRNAs identified by Winter et al., 2012, BMC Genomics13:4; DOI: 10.1186/1471-2164-13-4) and all C. elegans sequences in miRBase release 16

2017-11-07 | GSE101501 | GEO

Gene profiling using microarray analysis between the ΔMet treated and control groups at different stages

Project description:Undifferentiated cells, hiPSC-derived differentiated cells on day3 DE cells, day 5 PG cells, day 11 PP cells and day 25 EC cells were compared, using GeneChip™ Human Gene 2.0 ST Array Methionine deprivation (ΔMet) pretreatment potentiates late-stage differentiation of human iPS cells into insulin-expressing β cells

2022-07-21 | GSE151794 | GEO

Melampsora larici-populina gene expression in different tissues and developmental stages

Project description:The transcriptome of Melampsora-larici-populina was analysed in urediniospores, germlings and during poplar leaf infection. The array probes were designed from gene models taken from the Joint Genome Institute (JGI, Department of Energy) Melampsora larici-populina genome sequence version 1. One aim of this study was to verify the expression of the automatically annotated gene models in various tissues and development stages. Another goal was to monitor gene expression profiles during poplar leaf infection and to highlight tissue-specific transcripts, e.g. in planta up-regulated transcripts for further analyses.

2011-06-10 | GSE21624 | GEO

Melampsora larici-populina gene expression in different tissues and development stages

Project description:The transcriptome of Melampsora-larici-populina was analysed in urediniospores, germlings and infected Poplar leaves. The array probes were designed from gene models taken from the Joint Genome Institute (JGI, Department of Energy) Melampsora larici-populina genome sequence version 1. One aim of this study was to verify the expression of the automatically annotated gene models in various tissues and development stages. Another goal was to monitor gene expression at different developmental stages and to highlight tissue-specific transcripts, e.g. in planta up-regulated transcripts for further analyses.

2011-04-30 | GSE23097 | GEO

miRNA profiling in cervical carcinomas, low and high-grade intraepithelial cervical lesions and normal cervical tissues

Project description:Background. MicroRNAs (miRNAs) are short (~22 nt) non-coding regulatory RNAs that control gene expression at the translational level. Deregulation of miRNA expression has been discovered in a wide variety of tumours and it is now clear that they contribute to cancer development and progression. This prompted the development of miRNA-chips for cancer diagnosis or prognosis, opening a new door to understand carcinogenesis. Cervical cancer is one of the most common cancers in women worldwide. Therefore, there is a strong need for a non-invasive, fast and efficient method to diagnose the disease. We investigated miRNA expression profiles in cervical cancer using a microarray platform developed in house containing probes for mature miRNAs. Results. We have evaluated miRNA expression profiles of a heterogeneous set of cervical tissues from 25 different patients. This set included 19 normal cervical tissues, 4 squamous cell carcinoma, 5 high-grade squamous intraepithelial lesion (HSIL) and 9 low-grade squamous intraepithelial lesion (LSIL) samples. We observed high variability in miRNA expression especially among normal cervical samples, which prevented us from obtaining a unique miRNA expression signature for this tumour type. However, miRNAs deregulation in malignant and pre-malignant cervical tissues was detected after tackling the high variability observed. We were also able to identify putative targets of relevant candidate miRNAs. Conclusions. Our results show that miRNA deregulation may play an important role in the malignant transformation of cervical squamous cells. In addition, deregulated miRNAs highlight new candidate targets allowing a better understanding of the molecular mechanism of this tumour type.

2010-08-01 | GSE19611 | 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