Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human Lung Adenocarcinoma Cells: control vs. mAb NJ001 treated

ABSTRACT: Transcriptional profiling of human lung adenocarcinoma cells comparing control untreated SPC-A1 cells with SPC-A1 cells treated with 300 µg/ml mAb NJ001 for 36h Two-condition experiment, SPC-A1 vs. NJ001-SPC-A1 cells. Biological replicates: 3 control, 3 treated, independently grown and harvested. One replicate per array.

ORGANISM(S): Homo sapiens

SUBMITTER: Pan Shiyang

PROVIDER: S-ECPF-GEOD-59655 | biostudies-other |

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

Human Lung Adenocarcinoma Cells: control vs. mAb NJ001 treated

Project description:Transcriptional profiling of human lung adenocarcinoma cells comparing control untreated SPC-A1 cells with SPC-A1 cells treated with 300 µg/ml mAb NJ001 for 36h

2014-08-01 | GSE59655 | GEO

Human Lung Adenocarcinoma Cells: control vs. mAb NJ001 treated

Project description:Transcriptional profiling of human lung adenocarcinoma cells comparing control untreated SPC-A1 cells with SPC-A1 cells treated with 300 M-BM-5g/ml mAb NJ001 for 36h Two-condition experiment, SPC-A1 vs. NJ001-SPC-A1 cells. Biological replicates: 3 control, 3 treated, independently grown and harvested. One replicate per array.

2014-08-01 | E-GEOD-59655 | biostudies-arrayexpress

Human breast cancer cells: control vs treated with breast cancer patients' sera

Project description:To investigate the significant differently expressed genes upon the stimulation of breast cancer patients' sera. Cells were untreated or treated with 10% breast cancer patients' sera for 24h followed by isolation of total RNA using TRIZOL. Gene-expression profiling was performed on the CapitalBio 35k human Genome Array microchips (Beijing, China).

| S-ECPF-GEOD-40108 | biostudies-other

Human Non-Small Cell Lung Cancer cells: Control vs gefitinib treated cells

Project description:Total gene expression difference after treatment gefitinib for 24 h compared to control NSCLCs To determine which proteins are responsible for the differences in glutamine metabolism in response to the gefitinib treatment between gefitinib-sensitive and gefitinib-resistant cells

2017-09-13 | GSE103780 | GEO

Human serum: Control vs. Lung Cancer

Project description:Human serum: Control vs. Lung Cancer

| PRJNA706439 | ENA

Uptake of nanowires by human lung adenocarcinoma cells.

Project description:Semiconductor nanowires are increasingly used in optoelectronic devices. However, their effects on human health have not been assessed fully. Here, we investigate the effects of gallium phosphide nanowires on human lung adenocarcinoma cells. Four different geometries of nanowires were suspended in the cell culture for 48 hours. We show that cells internalize the nanowires and that the nanowires have no effect on cell proliferation rate, motility, viability and intracellular ROS levels. By blocking specific internalization pathways, we demonstrate that the nanowire uptake is the result of a combination of processes, requiring dynamin and actin polymerization, which suggests an internalization through macropinocytosis and phagocytosis.

| S-EPMC6588221 | biostudies-literature

Human MCF-7 breast cancer cells: control vs. treated with conditioned medium of cancer associated adipose tissue

Project description:Transcriptional profiling of human MCF-7 breast cancer cells comparing MCF-7 cells treated with control medium (DMEM/F12 + 0,5% BSA) with MCF-7 cells treated with conditioned medium of cancer-associated adipose tissue (CMCAAT) obtained from 2 breast cancer patients. Goal was to determine the effects of CMCAAT treatment on global MCF-7 gene expression. Two-condition experiment: MCF-7 control vs. CMCAAT treated cells. Biological replicates: 3 control replicates pooled as 1 (LL 1-2-4), 4 CMCAAT replicates (LL 6, LL 8, LL 9, LL 10)

| S-ECPF-GEOD-58574 | biostudies-other

Transcription profiling of human lung adenocarcinoma derived cell line A549 treated with testosterone

Project description:Effect of testosterone treatment on gene expression of lung adenocarcinoma derived cell line A549

| S-ECPF-MEXP-2003 | biostudies-other

Transcription profiling of human lung adenocarcinoma derived cell line A549 treated with dexamethasone

Project description:Effect of dexamethasone on gene expression in lung adenocarcinoma derived cell line A549

| S-ECPF-MEXP-2004 | biostudies-other

Expression data from Columbia Lung Adenocarcinoma Human Tumor Cells

Project description:The World Health Organization has subclassified adenocarcinoma based upon predominant cell morphology and growth pattern such as bronchioloalveolar carcinoma (BAC), adenocarcinoma with mixed subtypes (AC-mixed), and homogenously invasive tumors with a variety of histological patterns Pure invasive adenocarcinomas are often devoid of bronchioloalveolar morphology. The clinical importance of lung adenocarcinoma invasion is supported by several recent studies indicating that the risk of death in non-mucinous BAC is significantly lower than that of pure invasive tumors and in tumors with greater than 0.6 cm of fibrosis or linear invasion (J Thorac Oncol 6:244-285) To identify human tumor cell signatures associated with lung adenocarcinoma subtype and invasion, we performed microarray gene expression profiling of microdissected tumor cells noninvasive AC and AC-Mixed invasive tumors. 17 cases of noninvasive AC tumors and 23 cases of AC-mixed subtype invasive lung adenocarcinomas resected from 2002 to 2006 were examined (Columbia Lung Adenocarcinoma dataset)

| S-ECPF-GEOD-27716 | biostudies-other

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