Cellular functions of heat shock protein 20 (HSPB6) in cancer: A review

Wu, Yifeng; Zhao, Jinjin; Tian, Yun; Jin, Hongdou

doi:10.1016/j.cellsig.2023.110928

Cited by 5 publications

(3 citation statements)

References 140 publications

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“…Small Hsps: Classification, Structure-Function Relationship and Activities Small Hsps, the molecular weight of which ranges between 12 and 43 kDa, can be further divided into class I, characterized by ubiquitous expression in various cell and tissue types, and tissue-restricted class II. The former is generally associated with stress-induced cell survival mechanisms, while the latter is overall involved in developmental processes, differentiation and tissue-specific functions [3,29,30].…”

Section: General Features Of Hspsmentioning

confidence: 99%

“…Since proteins are involved in basically all processes governing the functionality of cells, the maintenance of their proper three-dimensional native structure is of utmost importance in a biological context and critical for their physiological function. Notably, proteins are most sensitive to various cellular stresses among biomolecules [3,4]. Therefore, maintaining the integrity of the cellular proteome-called proteostasis-requires the presence and activity of specialized agents, which indeed are Hsps, among others.…”

Section: Introductionmentioning

confidence: 99%

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Heat Shock Proteins, a Double-Edged Sword: Significance in Cancer Progression, Chemotherapy Resistance and Novel Therapeutic Perspectives

Kunachowicz,

Król-Kulikowska,

Raczycka

et al. 2024

Cancers

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Heat shock proteins (Hsps) are involved in one of the adaptive mechanisms protecting cells against environmental and metabolic stress. Moreover, the large role of these proteins in the carcinogenesis process, as well as in chemoresistance, was noticed. This review aims to draw attention to the possibilities of using Hsps in developing new cancer therapy methods, as well as to indicate directions for future research on this topic. In order to discuss this matter, a thorough review of the latest scientific literature was carried out, taking into account the importance of selected proteins from the Hsp family, including Hsp27, Hsp40, Hsp60, Hsp70, Hsp90 and Hsp110. One of the more characteristic features of all Hsps is that they play a multifaceted role in cancer progression, which makes them an obvious target for modern anticancer therapy. Some researchers emphasize the importance of directly inhibiting the action of these proteins. In turn, others point to their possible use in the design of cancer vaccines, which would work by inducing an immune response in various types of cancer. Due to these possibilities, it is believed that the use of Hsps may contribute to the progress of oncoimmunology, and thus help in the development of modern anticancer therapies, which would be characterized by higher effectiveness and lower toxicity to the patients.

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Section: General Features Of Hspsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heat Shock Proteins, a Double-Edged Sword: Significance in Cancer Progression, Chemotherapy Resistance and Novel Therapeutic Perspectives

Kunachowicz,

Król-Kulikowska,

Raczycka

et al. 2024

Cancers

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show abstract

“…By employing computational and mathematical techniques, scientists can predict a protein’s structure, stability, and activity. This information can lead to the identification of novel drug targets for diseases such as cancer, HIV, and Alzheimer’s , and improve the development of new drug therapies. , Accurate and efficient protein function prediction methods are urgently needed, and further research is required to develop and apply these methods to a broader range of biological processes.…”

Section: Introductionmentioning

confidence: 99%

MSF-PFP: A Novel Multisource Feature Fusion Model for Protein Function Prediction

Li,

Qian,

et al. 2024

J. Chem. Inf. Model.

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Protein function prediction is essential for disease treatment and drug development; yet, traditional biological experimental methods are less efficient in annotating protein function, and existing automated methods fail to fully leverage protein multisource data. Here, we present MSF-PFP, a computational framework that fuses multisource data features to predict protein function with high accuracy. Our framework designs specific models for feature extraction based on the characteristics of various data sources, including a global-local-individual strategy for local location features. MSF-PFP then integrates extracted features through a multisource feature fusion model, ultimately categorizing protein functions. Experimental results demonstrate that MSF-PFP outperforms eight state-of-the-art models, achieving F Max scores of 0.542, 0.675, and 0.624 for the biological process (BP), molecular function (MF), and cellular component (CC), respectively. The source code and data set for MSF-PFP are available at https://swanhub.co/TianGua/MSF-PFP, facilitating further exploration and validation of the proposed framework. This study highlights the potential of multisource data fusion in enhancing protein function prediction, contributing to improved disease therapy and medication discovery strategies.

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Identifying prognostic hub genes and key pathways in pediatric adrenocortical tumors through RNA sequencing and Co-expression analysis

Veronez,

Xavier,

Nagano

et al. 2024

Molecular and Cellular Endocrinology

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Cellular functions of heat shock protein 20 (HSPB6) in cancer: A review

Cited by 5 publications

References 140 publications

Heat Shock Proteins, a Double-Edged Sword: Significance in Cancer Progression, Chemotherapy Resistance and Novel Therapeutic Perspectives

Heat Shock Proteins, a Double-Edged Sword: Significance in Cancer Progression, Chemotherapy Resistance and Novel Therapeutic Perspectives

MSF-PFP: A Novel Multisource Feature Fusion Model for Protein Function Prediction

Identifying prognostic hub genes and key pathways in pediatric adrenocortical tumors through RNA sequencing and Co-expression analysis

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