Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell sequencing of GFP+ Tri-PyMT cells from lung metastasis

ABSTRACT: Single cell sequencing of GFP+ Tri-PyMT cells from lung metastasis

PROVIDER: PRJNA739682 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14870963_1.fastq.gz	Fastqsanger.gz
	SRR14870963_2.fastq.gz	Fastqsanger.gz
	SRR14870964_1.fastq.gz	Fastqsanger.gz
	SRR14870964_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Single cell sequencing of Tri-PyMT cells

Project description:To study the contribution of epithelial-to-mesenchymal transition (EMT) in tumor metastasis, we established an EMT lineage tracing model in a multiple-transgenic mouse (MMTV-PyMT/Fsp1-Cre/Rosa26mT/mG, Tri-PyMT). In this model, breast tumor cells that underwent EMT would irreversibly switch their expression of the fluorescent marker from RFP+ to GFP+ due to the mesenchymal specific Cre expression. Surprisingly, we found that metastatic tumor cells did not convert from RFP+ to GFP+. Lung metastases were predominantly composed of RFP+ tumor cells persistently exhibiting epithelial phenotypes. These findings challenge the concept that EMT is required for metastasis, and have attracted vigorous discussion about its true contributions to metastasis. One of the major concerns with the EMT lineage tracing model is that expression of GFP only indicates the complete EMT transition. The partial-EMT programming, a novel concept describing tumor cells exhibiting both epithelial and mesenchymal features, could possibly fail to launch the Fsp1-Cre-mediated fluorescent marker switch. To address this concern, we evaluated the EMT status of Tri-PyMT cells on the single cell level by performing single cell RNA-sequencing (scRNA-seq). We found that the expression of epithelial markers (i.e. Epcam and Krt18) and mesenchymal markers (i.e. Vim and S110a4) were largely confined to RFP+ and GFP+ subpopulations, respectively. Based on the differentially expressed EMT related genes, we observed an EMT spectrum in which the low EMT score end was enriched with RFP+ cells, whereas the high EMT score end was enriched with GFP+ cells. Indeed, the fluorescent marker switch in Tri-PyMT cells predicted their EMT status with high specificity and sensitivity. Tri-PyMT cells which were derived from the primary breast tumor of triple transgenic mouse (MMTV-PyMT:Fsp1-cre:Rosa26mT/mG) were sorted into RFP+ or GFP+ populations by FACS and subjected for Drop-seq analysis.

2022-02-01 | GSE126374 | GEO

Single cell sequencing of Tri-PyMT cells

Project description:Single cell sequencing of Tri-PyMT cells

| PRJNA521723 | ENA

Differential expression of GFP+ and RFP+ TriPyMT cells

2015-09-01 | GSE72480 | GEO

Differential expression of GFP+ and RFP+ TriPyMT cells

Project description:Tri-PyMT cell is a breast tumor cell line established from Tri-PyMT (MMTV-PyMT/fsp1-Cre/Rosa26-RGFP) primary breast tumors. The cells switch from RFP+ to GFP+ during epithelial to mesenchymal transition (EMT). Differential expressed genes between EMT and non-EMT tumor cells will reveal interesting targets for anti-EMT approaches. Tri-PyMT cells were culture in medium with serum (10%FBS). Cells were treated with or without 4-hydroperoxy-cyclophosphamide (4µM) for 7 days and sorted by flow cytometry into RFP+ and GFP+ subpopulations for RNA extraction and subsequent RNA-Seq analysis.

2015-09-01 | E-GEOD-72480 | biostudies-arrayexpress

Single cell sequencing of Tri-PyMT cells [10X Genomics]

Project description:Single cell sequencing of Tri-PyMT cells [10X Genomics]

| PRJNA739681 | ENA

Single cell sequencing of GFP+ Tri-PyMT cells from lung metastasis

Project description:Using an EMT lineage-tracing model, we identified tumor cells in the transitioning phases of both EMT and MET. Further analyses revealed that the ribosome biogenesis (RiBi) pathway was specifically elevated in these transitioning cells, regardless of their destined phenotypical fates.

2022-09-01 | GSE178578 | GEO

PyMT 4 stages tumor progression microRNA sequencing

Project description:We sequenced mammary gland samples of MMTV-PyMT mouse from 4 stages (hyperplasia at week 6, adenoma/MIN at week 8, early carcinoma at week 10, and late carcinoma with lung metastasis at week 12) during tumor progression. We sacrificed 3 PyMT (FVB background) mice and 3 FVB control mice at each of the 4 stages, extracted small RNA and performed sequencing.

2016-06-10 | E-GEOD-83189 | biostudies-arrayexpress

Expression data from PyMT;Lys Cre:E2f3 f/f TAMs

Project description:To understand the underlying cause for reduced lung metastasis, we compared global gene expression profiles of F4/80+ FACS sorted tumor-associated macrophages (TAMs) PyMT;E2f3 f/f (control) and PyMT;Lys Cre:E2f3 f/f (experimental) mice. We compared gene expression profile between TAMs isolated from mammary tumors of PyMT;E2f3 f/f and PyMT;Lys Cre:E2f3 f/f mice

2017-04-04 | GSE67081 | GEO

PyMT 4 stages tumor progression microRNA sequencing

2016-06-10 | GSE83189 | GEO

PyMT 4 stages tumor progression RNA-seq

2017-03-29 | GSE76772 | GEO