Proteomics

Dataset Information

0

Global Proteomic Profiling in Chronic Iron-Exposed Fallopian Tube Secretory Epithelial Cells


ABSTRACT: We previously published (Oncogenesis, Rockfield et al., 2019) that chronic iron exposure (with ferric ammonium citrate, FAC) in immortalized fallopian tube secretory epithelial cells resulted in increased growth and migratory propensity. Our focused analyses identified a subset of oncogenic markers, including EVI1 (amplified at 3q26.2 in high grade serous epithelial ovarian tumors), that were altered following long term iron treatment. Herein, we have extended these studies to global proteomics analyses via a mass spectrometry (MS)-based approach.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell

DISEASE(S): Malignant Neoplasm Of Ovary

SUBMITTER: Stanley Stevens  

LAB HEAD: Meera Nanjundan

PROVIDER: PXD018416 | Pride | 2021-09-09

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20190403_75cmNormPep_CV_1.raw Raw
20190403_75cmNormPep_CV_2.raw Raw
20190403_75cmNormPep_CV_3.raw Raw
20190403_75cmNormPep_CV_4.raw Raw
20190403_75cmNormPep_CV_5.raw Raw
Items per page:
1 - 5 of 24
altmetric image

Publications

Global miRNA/proteomic analyses identify miRNAs at 14q32 and 3p21, which contribute to features of chronic iron-exposed fallopian tube epithelial cells.

Chhabra Ravneet R   Rockfield Stephanie S   Guergues Jennifer J   Nadeau Owen W OW   Hill Robert R   Stevens Stanley M SM   Nanjundan Meera M  

Scientific reports 20210318 1


Malignant transformation of fallopian tube secretory epithelial cells (FTSECs) is a key contributing event to the development of high-grade serous ovarian carcinoma (HGSOC). Our recent findings implicate oncogenic transformative events in chronic iron-exposed FTSECs, including increased expression of oncogenic mediators, increased telomerase transcripts, and increased growth/migratory potential. Herein, we extend these studies by implementing an integrated transcriptomic and mass spectrometry-ba  ...[more]

Similar Datasets

2010-05-25 | E-GEOD-10633 | biostudies-arrayexpress
2008-01-19 | E-GEOD-3573 | biostudies-arrayexpress
2021-09-01 | GSE168534 | GEO
2006-07-14 | GSE3573 | GEO
2012-09-01 | E-GEOD-30774 | biostudies-arrayexpress
2014-07-03 | E-GEOD-54962 | biostudies-arrayexpress
2022-08-21 | GSE192400 | GEO
2015-04-07 | E-GEOD-67603 | biostudies-arrayexpress
2008-08-07 | GSE10633 | GEO
2023-11-20 | GSE161863 | GEO