Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.030086
XUELIAN CHEN, YUNZHENG ZHANG, JUNJIAN HE, YIBING LI
Background: The late detection of endometrial carcinoma (EC) at an advanced stage often results in a poor patient prognosis. It is hence important to identify reliable biomarkers to facilitate early detection of EC. Signal transducer and activator of transcription (STAT) family members play an important role in several tumors, however, their impact on EC development and progression remains unclear. Methods: Machine learning methods were used to investigate the importance of STAT5B in EC. Results: Hence, we explored the UALCAN data mining platform and found that while STAT1 and STAT2 were upregulated, STAT5A, STAT5B, and STAT6 were downregulated in EC. This high expression of STAT5B and STAT6 predicted favorable clinical outcomes, whereas the increased expression of STAT1 and STAT2 predicted poor clinical outcomes. Subsequent pathway enrichment analysis revealed that the STAT family was mainly involved in apoptosis pathway activation, cell cycle disruption, and epithelial–mesenchymal transition. Drug sensitivity analysis demonstrated that STAT5A/5B expression was negatively correlated with drug resistance in EC. Further, the expression of STAT5B mRNA and protein was correlated with several clinicopathological characteristics. Tumor Immune Estimation Resource (TIMER) analysis revealed that STAT5B expression was positively correlated with the abundance of infiltrating CD8+ T cells and neutrophils while its copy number variation was associated with the overall immune cell infiltration. The data on the correlations between STAT5B expression and related genes in uterine corpus endometrial carcinoma (UCEC) in cBio Cancer Portal showed the closest correlation of STAT5B expression with that of KIAA0753 (also known as moonraker and OFIP), followed by COL27A1 in EC. Pathway enrichment analysis further showed that STAT5B-related genes were involved in the mitogen-activated protein kinase (MAPK) and Ras signaling pathways. Conclusion: Collectively, our findings provided new insights into the role of the STAT family in EC. It also highlighted new targets for future research on diagnostic and prognostic markers and STAT5B as a novel marker for drug sensitivity screening.
背景:晚期子宫内膜癌(EC)的晚期发现往往导致患者预后不良。因此，确定可靠的生物标志物以促进早期发现EC非常重要。信号换能器和转录激活器(STAT)家族成员在几种肿瘤中发挥重要作用，然而，它们对EC发生和进展的影响尚不清楚。方法:采用机器学习方法探讨STAT5B在EC中的重要性。结果:因此，我们通过UALCAN数据挖掘平台发现，在EC中STAT1和STAT2上调，STAT5A、STAT5B和STAT6下调。STAT5B和STAT6的高表达预示着良好的临床结果，而STAT1和STAT2的高表达预示着不良的临床结果。随后的通路富集分析显示STAT家族主要参与凋亡通路激活、细胞周期破坏和上皮-间质转化。药敏分析显示STAT5A/5B表达与EC耐药呈负相关。此外，STAT5B mRNA和蛋白的表达与多种临床病理特征相关。肿瘤免疫估计资源(Tumor Immune estimate Resource, TIMER)分析显示，STAT5B的表达与浸润的CD8+ T细胞和中性粒细胞的丰度呈正相关，而其拷贝数的变化与整体免疫细胞浸润相关。在cBio Cancer Portal中，STAT5B与子宫内膜癌(UCEC)中STAT5B表达与相关基因的相关性数据显示，STAT5B与KIAA0753(又称moonraker、OFIP)表达相关性最密切，其次是COL27A1在EC中的表达。通路富集分析进一步表明stat5b相关基因参与了丝裂原活化蛋白激酶(MAPK)和Ras信号通路。结论:总的来说，我们的发现为STAT家族在EC中的作用提供了新的见解。它还强调了未来诊断和预后标记物研究的新靶点，以及STAT5B作为药物敏感性筛选的新标记物。
{"title":"Identification of STAT5B as a biomarker for an early diagnosis of endometrial carcinoma","authors":"XUELIAN CHEN, YUNZHENG ZHANG, JUNJIAN HE, YIBING LI","doi":"10.32604/biocell.2023.030086","DOIUrl":"https://doi.org/10.32604/biocell.2023.030086","url":null,"abstract":"<b>Background:</b> The late detection of endometrial carcinoma (EC) at an advanced stage often results in a poor patient prognosis. It is hence important to identify reliable biomarkers to facilitate early detection of EC. Signal transducer and activator of transcription (STAT) family members play an important role in several tumors, however, their impact on EC development and progression remains unclear. <b>Methods:</b> Machine learning methods were used to investigate the importance of STAT5B in EC. <b>Results:</b> Hence, we explored the UALCAN data mining platform and found that while STAT1 and STAT2 were upregulated, STAT5A, STAT5B, and STAT6 were downregulated in EC. This high expression of STAT5B and STAT6 predicted favorable clinical outcomes, whereas the increased expression of STAT1 and STAT2 predicted poor clinical outcomes. Subsequent pathway enrichment analysis revealed that the STAT family was mainly involved in apoptosis pathway activation, cell cycle disruption, and epithelial–mesenchymal transition. Drug sensitivity analysis demonstrated that STAT5A/5B expression was negatively correlated with drug resistance in EC. Further, the expression of STAT5B mRNA and protein was correlated with several clinicopathological characteristics. Tumor Immune Estimation Resource (TIMER) analysis revealed that STAT5B expression was positively correlated with the abundance of infiltrating CD8+ T cells and neutrophils while its copy number variation was associated with the overall immune cell infiltration. The data on the correlations between STAT5B expression and related genes in uterine corpus endometrial carcinoma (UCEC) in cBio Cancer Portal showed the closest correlation of STAT5B expression with that of KIAA0753 (also known as moonraker and OFIP), followed by COL27A1 in EC. Pathway enrichment analysis further showed that STAT5B-related genes were involved in the mitogen-activated protein kinase (MAPK) and Ras signaling pathways. <b>Conclusion:</b> Collectively, our findings provided new insights into the role of the STAT family in EC. It also highlighted new targets for future research on diagnostic and prognostic markers and STAT5B as a novel marker for drug sensitivity screening.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135506341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: The regulatory genes related to lipid metabolism affect the intramuscular fat (IMF) content and improve meat quality traits. Mediator Complex Subunit 4 (MED4), a vitamin D receptor protein, affects vitamin D, livestock growth, carcass traits, and triglyceride deposition. However, the physiological function of the MED4 gene on bovine adipocyte differentiation remains unknown. Methods: This study explored the function of the MED4 gene in preadipocyte differentiation in Chinese Red Steppe cattle. The overexpression plasmid and the interference sequences of the MED4 gene were constructed to detect the effects of the MED4 gene on adipogenesis and biomakers using quantitative polymerase chain reaction and western blotting. Results: The MED4 gene had significantly high expression during preadipocyte differentiation (p < 0.05). Overexpression of the MED4 gene increased the expression of the PPARγ gene, a preadipocyte differentiation biomarker, improved cellular lipid droplets and triglycerides accumulation, and positively accelerated adipocyte maturation (p < 0.05). Interference of the MED4 gene can negatively regulate preadipocyte differentiation. Conclusion: This study showed that the MED4 gene may affect the preadipocyte differentiation and adipogenesis in Chinese Red Steppe cattle by regulating the PPARγ gene.
{"title":"MED4 gene positively affects preadipocyte differentiation in Chinese red steppe cattle","authors":"MINGHONG WEI, CHENG XIAO, JIAN WU, LIHONG QIN, HONGLIANG LIU, YANG CAO, YUMIN ZHAO","doi":"10.32604/biocell.2023.030364","DOIUrl":"https://doi.org/10.32604/biocell.2023.030364","url":null,"abstract":"<b>Background:</b> The regulatory genes related to lipid metabolism affect the intramuscular fat (IMF) content and improve meat quality traits. Mediator Complex Subunit 4 (MED4), a vitamin D receptor protein, affects vitamin D, livestock growth, carcass traits, and triglyceride deposition. However, the physiological function of the <i>MED4</i> gene on bovine adipocyte differentiation remains unknown. <b>Methods:</b> This study explored the function of the <i>MED4</i> gene in preadipocyte differentiation in Chinese Red Steppe cattle. The overexpression plasmid and the interference sequences of the <i>MED4</i> gene were constructed to detect the effects of the <i>MED4</i> gene on adipogenesis and biomakers using quantitative polymerase chain reaction and western blotting. <b>Results:</b> The <i>MED4</i> gene had significantly high expression during preadipocyte differentiation (<i>p</i> < 0.05). Overexpression of the <i>MED4</i> gene increased the expression of the <i>PPARγ</i> gene, a preadipocyte differentiation biomarker, improved cellular lipid droplets and triglycerides accumulation, and positively accelerated adipocyte maturation (<i>p</i> < 0.05). Interference of the <i>MED4</i> gene can negatively regulate preadipocyte differentiation. <b>Conclusion:</b> This study showed that the <i>MED4</i> gene may affect the preadipocyte differentiation and adipogenesis in Chinese Red Steppe cattle by regulating the <i>PPARγ</i> gene.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135755131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The oral microbiota is a vital part of the human microbiota that functions in various physiological processes and is highly relevant to cancers and other diseases. With the alterations of host immune competence, the homeostatic balance existing between the oral microbiota and host may be disturbed and result in the development of diseases. Numerous observations have suggested that small RNAs are key regulators of bacterial pathogenesis and bacteria-host interactions. Further, bacterial small RNAs are considered to be promising biomarkers for the development of novel, and efficacious therapies for oral dysbiosis. Mechanistic insights into how oral pathogens communicate with other bacteria or host cells in oral cancers via small RNAs are hot topics of research. Current studies also have begun to elucidate the key role of oral microbiota in the development of systemic diseases. This article discusses existing findings and nascent mechanisms governing the small RNA-based interactions between oral microbiota and associated diseases. The knowledge of such interactions is key in planning approaches to reverse dysbiosis to achieve health.
{"title":"The bacterial small RNAs: The new biomarkers of oral microbiota-associated cancers and diseases","authors":"MENGYING MAO, TING DONG, YANJING LIANG, KEYONG YUAN, QIAOQIAO JIN, PENGFEI ZHANG, ZHENGWEI HUANG","doi":"10.32604/biocell.2023.042357","DOIUrl":"https://doi.org/10.32604/biocell.2023.042357","url":null,"abstract":"The oral microbiota is a vital part of the human microbiota that functions in various physiological processes and is highly relevant to cancers and other diseases. With the alterations of host immune competence, the homeostatic balance existing between the oral microbiota and host may be disturbed and result in the development of diseases. Numerous observations have suggested that small RNAs are key regulators of bacterial pathogenesis and bacteria-host interactions. Further, bacterial small RNAs are considered to be promising biomarkers for the development of novel, and efficacious therapies for oral dysbiosis. Mechanistic insights into how oral pathogens communicate with other bacteria or host cells in oral cancers via small RNAs are hot topics of research. Current studies also have begun to elucidate the key role of oral microbiota in the development of systemic diseases. This article discusses existing findings and nascent mechanisms governing the small RNA-based interactions between oral microbiota and associated diseases. The knowledge of such interactions is key in planning approaches to reverse dysbiosis to achieve health.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135505973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.030233
ZIPENG LIN, CHUXI TANG, LE KANG, GUANXI LAI, SHIWEN LIU, YIXIANG WU, HUIQUN TIAN, SONG LIU
{"title":"Structure, function, and mechanism of the TNFAIP8 (TIPE) family of proteins in cancer and inflammation","authors":"ZIPENG LIN, CHUXI TANG, LE KANG, GUANXI LAI, SHIWEN LIU, YIXIANG WU, HUIQUN TIAN, SONG LIU","doi":"10.32604/biocell.2023.030233","DOIUrl":"https://doi.org/10.32604/biocell.2023.030233","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135557423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.028035
Haiying Chen, Yuqing Wu, Baojian Huang, Lei Han
{"title":"Recent progress in microbial cell surface display systems and their application on biosensors","authors":"Haiying Chen, Yuqing Wu, Baojian Huang, Lei Han","doi":"10.32604/biocell.2023.028035","DOIUrl":"https://doi.org/10.32604/biocell.2023.028035","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"74 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74566854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.028790
Xingbo Wu, Dan Pan, Shouyi Tang, Yingqiang Shen
{"title":"Targeting the “undruggable” cancer driver genes: Ras, myc, and tp53","authors":"Xingbo Wu, Dan Pan, Shouyi Tang, Yingqiang Shen","doi":"10.32604/biocell.2023.028790","DOIUrl":"https://doi.org/10.32604/biocell.2023.028790","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"32 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74991655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.025747
Meran Keshawa Ediriweera
{"title":"DNA polymerase θ (POLQ): A druggable DNA polymerase for homologous recombination-deficient cancer cells","authors":"Meran Keshawa Ediriweera","doi":"10.32604/biocell.2023.025747","DOIUrl":"https://doi.org/10.32604/biocell.2023.025747","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"73 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86401019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.026556
Zeinab M. Klaab, Aziza M Hassan, Jawaher J Albaqami, Faizah A. ALMALKI
{"title":"The effect of natural products combination on MCF-7 cells exceeds tamoxifen therapeutic dose effects in vitro","authors":"Zeinab M. Klaab, Aziza M Hassan, Jawaher J Albaqami, Faizah A. ALMALKI","doi":"10.32604/biocell.2023.026556","DOIUrl":"https://doi.org/10.32604/biocell.2023.026556","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"18 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85345776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.029624
Wayez Naqvi, Ananya Singh, Prekshi Garg, P. Srivastava
Biological entities are involved in complicated and complex connections; hence, discovering biological information using network biology ideas is critical. In the past few years, network biology has emerged as an integrative and systems-level approach for understanding and interpreting these complex interactions. Biological network analysis is one method for reducing enormous data sets to clinically useful knowledge for disease diagnosis, prognosis, and treatment. The network of biological entities can help us predict drug targets for several diseases. The drug targets identified through the systems biology approach help in targeting the essential biological pathways that contribute to the progression and development of the disease. The novel strategical approach of system biologyassisted pharmacology coupled with computer-aided drug discovery (CADD) can help drugs fight multifactorial diseases efficiently. In the present review, we have summarized the role and application of network biology for not only unfolding the mechanism of complex neurodevelopmental disorders but also identifying important drug targets for diseases like ADHD, Autism, Epilepsy, and Intellectual Disability. Systems biology has emerged as a promising approach to identifying drug targets and aiming for targeted drug discovery for the precise treatment of neurodevelopmental disorders.
{"title":"Network biology: A promising approach for drug target identification against neurodevelopmental disorders","authors":"Wayez Naqvi, Ananya Singh, Prekshi Garg, P. Srivastava","doi":"10.32604/biocell.2023.029624","DOIUrl":"https://doi.org/10.32604/biocell.2023.029624","url":null,"abstract":"Biological entities are involved in complicated and complex connections; hence, discovering biological information using network biology ideas is critical. In the past few years, network biology has emerged as an integrative and systems-level approach for understanding and interpreting these complex interactions. Biological network analysis is one method for reducing enormous data sets to clinically useful knowledge for disease diagnosis, prognosis, and treatment. The network of biological entities can help us predict drug targets for several diseases. The drug targets identified through the systems biology approach help in targeting the essential biological pathways that contribute to the progression and development of the disease. The novel strategical approach of system biologyassisted pharmacology coupled with computer-aided drug discovery (CADD) can help drugs fight multifactorial diseases efficiently. In the present review, we have summarized the role and application of network biology for not only unfolding the mechanism of complex neurodevelopmental disorders but also identifying important drug targets for diseases like ADHD, Autism, Epilepsy, and Intellectual Disability. Systems biology has emerged as a promising approach to identifying drug targets and aiming for targeted drug discovery for the precise treatment of neurodevelopmental disorders.","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"5 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75555611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.32604/biocell.2023.025365
Yongdae Yoon, Soonjae Hwang, Fatema Tuj Saima, Moon YOUNG KIM, Soon KOO BAIK, Young WOO EOM
{"title":"AKT regulates IL-1β-induced proliferation and activation of hepatic stellate cells","authors":"Yongdae Yoon, Soonjae Hwang, Fatema Tuj Saima, Moon YOUNG KIM, Soon KOO BAIK, Young WOO EOM","doi":"10.32604/biocell.2023.025365","DOIUrl":"https://doi.org/10.32604/biocell.2023.025365","url":null,"abstract":"","PeriodicalId":55384,"journal":{"name":"Biocell","volume":"62 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86735970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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