The EGFR ligand amphiregulin (AREG) has been implicated as an important autocrine growth factor in several epithelial malignancies and in psoriasis, a hyperproliferative skin disorder. To characterize the mechanisms by which AREG regulates autocrine epithelial cell growth, we transduced human keratinocytes (KCs) with lentiviral constructs expressing tetracycline (TET)-inducible small hairpin RNA (shRNA). TET-induced expression of AREG shRNA markedly reduced autocrine extracellular signal-regulated kinase phosphorylation, strongly inhibited autocrine KC growth with an efficiency similar to metalloproteinase and EGFR inhibitors, and induced several markers of KC differentiation, including keratins 1 and 10. Addition of various concentrations of exogenous EGFR ligands to KC cultures reversed the growth inhibition in response to AREG-blocking antibodies but not to shRNA-mediated AREG knockdown. Lentivirus-mediated expression of the full-length AREG transmembrane (TM) precursor, but not of the AREG extracellular domain, markedly reversed the shRNA-mediated growth inhibition and morphological changes, and strongly reduced the induction of multiple markers of KC differentiation. Taken together, our data show that autocrine human KC growth is highly dependent on the AREG TM precursor protein and strongly suggest a previously unreported function of the metalloproteinase-processed carboxy (C)-terminal domain of AREG.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3072808PMC
http://dx.doi.org/10.1038/jid.2010.98DOI Listing

Publication Analysis

Top Keywords

areg
8
autocrine growth
8
markers differentiation
8
growth inhibition
8
growth
7
autocrine
6
amphiregulin carboxy-terminal
4
carboxy-terminal domain
4
domain required
4
required autocrine
4

Similar Publications

Cognitive impairment is a significant complication of type 2 diabetes mellitus (T2DM). However, the mechanisms underlying the development of cognitive dysfunction in individuals with T2DM remain elusive. Herein, we discussed the role of Bmal1, a core circadian rhythm-regulating gene, in the process of T2DM-associated cognitive dysfunction.

View Article and Find Full Text PDF

BRAF mutations in colorectal cancer (CRC) comprise three functional classes: Class 1 (V600E) with strong constitutive activation, Class 2 with pathogenic kinase activity lower than Class 1, and Class 3 which paradoxically lacks kinase activity. Non-Class 1 mutations associate with better prognosis, microsatellite stability, distal tumour location and better anti-EGFR response. Analysis of 13 CRC cohorts (n=6,605 tumours) compared Class 1 (n=709, 10.

View Article and Find Full Text PDF

Single-cell transcriptomics applied to cerebrospinal fluid (CSF) for elucidating the pathophysiology of neurologic diseases has produced only a preliminary characterization of CSF immune cells. CSF derives from and borders central nervous system (CNS) tissue, allowing for comprehensive accounting of cell types along with their relative abundance and immunologic profiles relevant to CNS diseases. Using integration techniques applied to publicly available datasets in combination with our own studies, we generated a compendium with 139 subjects encompassing 135 CSF and 58 blood samples.

View Article and Find Full Text PDF

Identifying proteins and pathways associated with multimorbidity in 53,026 adults.

Metabolism

December 2024

Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China. Electronic address:

Background And Aims: Multimorbidity, the coexistence of multiple chronic diseases, is a rapidly expanding global health challenge, carrying profound implications for patients, caregivers, healthcare systems, and society. Investigating the determinants and drivers underlying multiple chronic diseases is a priority for disease management and prevention.

Method: This prospective cohort study analyzed data from the 53,026 participants in the UK Biobank from baseline (2006 to 2010) across 13.

View Article and Find Full Text PDF

Background: Acute myeloid leukemia (AML) is a hematologic tumor with poor prognosis and significant clinical heterogeneity. By integrating transcriptomic data, single-cell RNA sequencing data and independently collected RNA sequencing data this study aims to identify key genes in AML and establish a prognostic assessment model to improve the accuracy of prognostic prediction.

Materials And Methods: We analyzed RNA-seq data from AML patients and combined it with single-cell RNA sequencing data to identify genes associated with AML prognosis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!