Target Name: SLTM
NCBI ID: G79811
Review Report on SLTM Target / Biomarker Content of Review Report on SLTM Target / Biomarker
SLTM
Other Name(s): modulator of estrogen-induced transcription | Modulator of estrogen-induced transcription | SAFB like transcription modulator | SAFB-like transcription modulator (isoform a) | SLTM variant 1 | SAFB-like transcription modulator | SLTM_HUMAN | Met | SAFB like transcription modulator, transcript variant 1

Drug Target and Biomarker: MET (SLTM)

MET (c-MET) is cleaved by caspase 3 in the absence of ligand, generating the p40MET fragment that translocates to the MAM microdomain. This fragment may interact with BAK and influence the Ca2+ flux between the ER and mitochondria, leading to mitochondrial permeabilization and amplification of apoptosis. This dual role of MET classifies it as a dependence receptor.
Epithelial-to-mesenchymal transition (EMT) and mesenchymal-to-epithelial transition (MET) are important processes in sarcomagenesis. Factors promoting EMT/MET plasticity play a major role in this process.
MET activation is initiated by the binding of hepatocyte growth factor (HGF) to the extracellular portion of the MET receptor. This leads to receptor dimerization, phosphorylation of the intracellular domain, and downstream signaling through various pathways. Alterations in MET exon 14 can affect CBL binding, receptor turnover, and oncogenic downstream signaling. Point mutations and amplification of MET also contribute to ligand-independent MET activation and sustained oncogenic signaling.
The HGF-MET pair drives the mobilization, expansion, and differentiation of neural stem cells into astrocytes, neurons, and oligodendrocytes, contributing to nervous system cell regeneration. HGF is secreted by bone marrow-derived stem cells and mesenchymal stem cells.
MET plays a role in the regulation of mesenchymal to epithelial transition (MET) during reprogramming. Various factors, such as OCT4, ZEB1, TGF-beta signaling, and CDH1 expression, influence the initiation and progression of MET during reprogramming processes.

This summary provides an overview of the different aspects and roles of MET in cellular processes such as apoptosis, sarcomagenesis, receptor activation, neural stem cell regeneration, and reprogramming.
Metformin, a medication commonly used to treat type 2 diabetes, has been found to overcome alectinib resistance by disrupting the interaction between MET and Gab1, inhibiting Gab1 activation and downstream signaling pathways. On the other hand, defective HGF/MET signaling has been observed in C3G knock-down HCC cells, leading to reduced MET and Gab1 phosphorylation, decreased activation of downstream effectors, and impaired cell migration in response to HGF stimulation. Additionally, the study suggests that C3G, MET, and Gab1 form a complex necessary for the full activation of MET and its downstream pathways. These findings provide valuable insights into the mechanisms involved in MET-related signaling and its potential implications for cancer therapy.

Protein Name: SAFB Like Transcription Modulator

Functions: When overexpressed, acts as a general inhibitor of transcription that eventually leads to apoptosis

The "SLTM Target / Biomarker Review Report" is a customizable review of hundreds up to thousends of related scientific research literature by AI technology, covering specific information about SLTM comprehensively, including but not limited to:
•   general information;
•   protein structure and compound binding;
•   protein biological mechanisms;
•   its importance;
•   the target screening and validation;
•   expression level;
•   disease relevance;
•   drug resistance;
•   related combination drugs;
•   pharmacochemistry experiments;
•   related patent analysis;
•   advantages and risks of development, etc.
The report is helpful for project application, drug molecule design, research progress updates, publication of research papers, patent applications, etc. If you are interested to get a full version of this report, please feel free to contact us at BD@silexon.ai

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