Dataset Information

To identify the nuclear partner(s) of TYRO3 in colon cells using LC-Quadrupole Time-of-Flight Mass Spectrometry.

ABSTRACT: Colorectal cancer (CRC) is one of the most common death-related cancers worldwide. Aberrant expression of oncogenes is regarded as a predominant factor in CRC development. In our study, we found that TYRO3 intracellular domain nuclear translocation promotes CRC cell proliferation, metastasis, and tumor progression. To identify downstream effector that transmits the cellular functions of nuclear TYRO3, we performed nuclear TYRO3 co-immunoprecipitation.

INSTRUMENT(S): impact HD

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Colon

SUBMITTER: Pei-Ling Hsu

LAB HEAD: Shaw-Jenq Tsai

PROVIDER: PXD029743 | Pride | 2023-05-10

REPOSITORIES: Pride

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Publications

Targeting BRD3 eradicates nuclear TYRO3-induced colorectal cancer metastasis.

Hsu Pei-Ling PL Chien Chun-Wei CW Tang Yen-An YA Lin Bo-Wen BW Lin Shih-Chieh SC Lin Yi-Syuan YS Chen Sih-Yu SY Sun H Sunny HS Tsai Shaw-Jenq SJ

Science advances 20230412 15

Metastasis is the main cause of death in many cancers including colorectal cancer (CRC); however, the underlying mechanisms responsible for metastatic progression remain largely unknown. We found that nuclear TYRO3 receptor tyrosine kinase is a strong predictor of poor overall survival in patients with CRC. The metastasis-promoting function of nuclear TYRO3 requires its kinase activity and matrix metalloproteinase-2 (MMP-2)-mediated cleavage but is independent of ligand binding. Using proteomic ...[more]

PMID: 37043564

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Project description:Oral biofilms, comprising hundreds of bacteria and other microorganisms on oral mucosal and dental surfaces, play a central role in oral health and disease dynamics. Streptococcus oralis, a key constituent of these biofilms, contribute significantly to their formation, serving as an early colonizer and microcolony scaffold. The interaction between S. oralis and the orally predominant mucin, MUC5B, is pivotal in biofilm development, yet the mechanism underlying MUC5B degradation remains poorly understood. This study introduces MdpS (Mucin Degrading Protease from Streptococcus oralis), a protease that extensively hydrolyses MUC5B and offers an insight into its sequence homology, physicochemical properties, and substrate- and amino acid specificity. MdpS exhibits high sequence conservation within the species and also explicitly among early biofilm colonizing streptococci. It is characterized as a calcium or magnesium dependent serine protease with strict physicochemical preferences, including narrow pH and temperature tolerance, and high sensitivity to increased sodium chloride and reducing agent concentrations. Furthermore, MdpS primarily hydrolyze proteins with O-glycans, but also show activity towards immunoglobulins IgA1/2 and IgM, suggesting potential immunomodulatory effects. Significantly, MdpS extensively degrades MUC5B in the N- and C-terminal domains, emphasizing its role in mucin degradation with implications in carbon and nitrogen sequestration for S. oralis with a potential function by cross-feeding the oral biofilm. Moreover, the enzyme displays amino acid preferences of serine, threonine or cysteine depending on substrate glycosylation. Understanding the interplay between S. oralis and MUC5B, facilitated by MdpS, has significant implications for the management of a healthy eubiotic oral microenvironment, offering potential targets for interventions aimed at modulating oral biofilm composition and succession. Additionally, the MdpS data challenges the presently acknowledged model of MUC5B degradation, because contrarily MdpS does not necessitate O-glycan removal prior to extensive peptide backbone hydrolysis. These findings emphasize the necessity for further research in this field.

Dataset Information

To identify the nuclear partner(s) of TYRO3 in colon cells using LC-Quadrupole Time-of-Flight Mass Spectrometry.

Publications

Targeting BRD3 eradicates nuclear TYRO3-induced colorectal cancer metastasis.

Similar Datasets

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