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Links from GEO DataSets

Items: 8

1.

The IKK complex requires Morgana to drive NF-kB dependent breast cancer metastatisation

(Submitter supplied) Identification of Morgana associated gene expression by comparing morgana knockdown (MDA-sh1/2) and control (MDA-1/2) MDA-MB-231 cells.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14550
4 Samples
Download data: TXT
Series
Accession:
GSE86463
ID:
200086463
2.

lncRNA and mRNA expression of cytokine treated MDA-MB-231 cells

(Submitter supplied) MDA-MB-231 cells were treated with PBS, LPS, IL1b, TNFa, IL6, and TGFb respectively and expression profile were assayed by Arraystar human lncRNA array 2.0
Organism:
Homo sapiens
Type:
Expression profiling by array; Non-coding RNA profiling by array
Platform:
GPL15314
6 Samples
Download data: TXT
Series
Accession:
GSE57539
ID:
200057539
3.

Comparison between MCF7-IKKe overexpressing cells and MCF7 control cells

(Submitter supplied) Analysis of differentially expressed genes in MCF7 cancer cells transiently transfected with an expression vector containing the ORF of IKKe and as a control, cells were transfected with a vector containing the ORF of Lacz.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
6 Samples
Download data: TXT
Series
Accession:
GSE113538
ID:
200113538
4.

RBM7 regulates breast cancer progression

(Submitter supplied) In order to profile the alternative splicing events that were regulated by RBM7, RNA-seq was performed on MDA-MB-231 cells which was used to generate RBM7 stably depleted breast cancer cells. And to explore how RBM7 regulated splicing target MFGE8, MDA-MB-231 cells stably overexpressed respectively MFGE8 long isoform (MFGE8-L) and short isoform (MFGE8-S) that were used for RNA-sequence.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
6 Samples
Download data: XLSX
Series
Accession:
GSE248938
ID:
200248938
5.

CECR2 Drives Breast Cancer Metastasis by Suppressing Macrophage Inflammatory Responses

(Submitter supplied) Purpose: Metastasis are responsible for the most majority of cancer-related deaths due to the lack of effective targeted therapies. Therefore, specific targets which tackle that complex process are needed to improve the therapeutic outcomes of metastatic breast cancer. Methods: ATAC-Seq analysis of CECR2 knockout and control LM2 cells. Results: CECR2 knockout regulate chromatin accessibility of NF-kB target genes . more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL20301
4 Samples
Download data: BED, BW, TXT
Series
Accession:
GSE185647
ID:
200185647
6.

Acetyl-lysine Reader CECR2 Drives Breast Cancer Metastasis by Coordinating Macrophage Polarization and Immune Suppression

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL11154 GPL16791
32 Samples
Download data
Series
Accession:
GSE148005
ID:
200148005
7.

Acetyl-lysine Reader CECR2 Drives Breast Cancer Metastasis by Coordinating Macrophage Polarization and Immune Suppression [metastasis]

(Submitter supplied) Purpose: Advanced breast cancer leads to significantly higher mortality due to metastasis. The goal of this work is to screen and study the deregulated epigenetic regulators to identify the novel targets for the treatment of metastatic breast cancer. Methods:RNA-Seq analysis of matched primary and metastatic breast samples to detect the deregulated epigenetic regulators. Live imaging system was applied to modulate metastatic tumor growth in vivo. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
26 Samples
Download data: CSV
8.

Acetyl-lysine Reader CECR2 Drives Breast Cancer Metastasis by Coordinating Macrophage Polarization and Immune Suppression [cell line]

(Submitter supplied) Purpose: Advanced breast cancer leads to significantly higher mortality due to metastasis. The goal of this work is to screen and study the deregulated epigenetic regulators to identify the novel targets for the treatment of metastatic breast cancer. Methods:RNA-Seq analysis of matched primary and metastatic breast samples to detect the deregulated epigenetic regulators. Live imaging system was applied to modulate metastatic tumor growth in vivo. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
6 Samples
Download data: CSV
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Supplemental Content

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