Sadia Noor Mou, Afsana Akter Rupa, Md Arko Ayon Chowdhury, Md. Lifat Rahi, Abdul Baten, Amin Ahsan Ali, Haseena Khan, Md. Ashraful Amin, Mohammad Riazul Islam
{"title":"Muscle Transcriptome Provides Insights into the Allergen Profile of Habitat-Specific Mature Hilsa shad Tenualosa ilisha","authors":"Sadia Noor Mou, Afsana Akter Rupa, Md Arko Ayon Chowdhury, Md. Lifat Rahi, Abdul Baten, Amin Ahsan Ali, Haseena Khan, Md. Ashraful Amin, Mohammad Riazul Islam","doi":"10.2174/0122102981301480240514113753","DOIUrl":"https://doi.org/10.2174/0122102981301480240514113753","url":null,"abstract":"\u0000\u0000Hilsa shad (Tenualosa ilisha) is a popular anadromous fish in Bangladesh\u0000known to cause allergies. Despite recognized allergenicity, there is a paucity of research at the\u0000molecular level on hilsa allergen.\u0000\u0000\u0000\u0000Muscle transcriptomes of hilsa from freshwater, brackish, and deep sea habitats were\u0000sequenced using Illumina NovaSeq 6000 and assembled. BLASTx analysis of the AllergenOnline\u0000database identified potential allergens. The molecular docking study investigated parvalbumin’s\u0000interaction with human IgE.\u0000\u0000\u0000\u0000An analysis of hilsa muscle transcriptomes revealed 28 known fish allergens, including\u0000parvalbumin, tropomyosin, including parvalbumin, tropomyosin, filamin C, creatine kinase-2,\u0000aldolase A, triosephosphate isomerase B, and Glyceraldehyde-3-phosphate Dehydrogenase\u0000(G3PD). Creatine kinase showed significantly higher abundance (p & 0.05) and habitat variation\u0000(freshwater vs. brackish water). In silico analysis suggested upregulation of Sal s 2 enolase and\u0000Equ c 6 lysozyme in freshwater and brackish water compared to the deep sea. Docking studies\u0000identified a potential B-cell epitope in parvalbumin that interacts with human IgE.\u0000\u0000\u0000\u0000This study has unveiled 28 potential allergens in hilsa, including habitat-specific variations.\u0000The parvalbumin-IgE interaction has been suggested as a mechanism for allergies. The\u0000findings have illuminated fish allergy in Bangladesh and paved the way for further investigation.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"66 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141121611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent Advances in Machine Learning Methods for LncRNA-Cancer Associations Prediction","authors":"Ruobing Wang, Lingyu Meng, Jianjun Tan","doi":"10.2174/0122102981299289240324072639","DOIUrl":"https://doi.org/10.2174/0122102981299289240324072639","url":null,"abstract":"\u0000\u0000In recent years, long non-coding RNAs (lncRNAs) have played important roles in various\u0000biological processes. Mutations and regulation of lncRNAs are closely associated with many\u0000human cancers. Predicting potential lncRNA-cancer associations helps to understand cancer's\u0000pathogenesis and provides new ideas and approaches for cancer prevention, treatment and diagnosis.\u0000Predicting lncRNA-cancer associations based on computational methods helps systematic biological\u0000studies. In particular, machine learning methods have received much attention and are\u0000commonly used to solve these problems. Therefore, many machine learning computational models\u0000have been proposed to improve the prediction performance and achieve accurate diagnosis and\u0000effective treatment of cancer. This review provides an overview of existing models for predicting\u0000lncRNA-cancer associations by machine learning methods. The evaluation metrics of each model\u0000are briefly described, analyzed the advantages and limitations of these models are analyzed. We\u0000also provide a case study summary of the two cancers listed. Finally, the challenges and future\u0000trends of predicting lncRNA-cancer associations with machine learning methods are discussed.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"247 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140791805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of Pressure-Based and Skin Friction-based Methods for the Determination of Flow Separation of a Circular Cylinder with Roundness\u0000Imperfection","authors":"Ran Wang, Shaohong Cheng, David S.-K. Ting","doi":"10.2174/0122102981289400240228182937","DOIUrl":"https://doi.org/10.2174/0122102981289400240228182937","url":null,"abstract":"\u0000\u0000A delayed detached eddy simulation in OpenFOAM was performed to\u0000study flow separation of a circular cylinder with roundness imperfection up to 4% of its diameter\u0000at Reynolds numbers of 100, 3900, and 10! in normal flow.\u0000\u0000\u0000\u0000The flow was considered to be Newtonian and incompressible. The separation position\u0000was determined independently based on surface pressure distribution and skin friction.\u0000\u0000\u0000\u0000Results show that the patterns of these distributions depend on both Reynolds number and\u0000roundness imperfection level, and flow separation in an imperfectly round cylinder may be induced\u0000by either an adverse pressure gradient or a Gentle Bend (GB) introduced by the roughness.\u0000For the separation point determined by the pressure-based method, its accuracy can be affected by\u0000the characteristic of pressure distribution near the separation point at low Reynolds numbers, and,\u0000thus, its physical validity needs to be verified by flow visualization at high Reynolds numbers.\u0000\u0000\u0000\u0000The skin friction-based method can accurately predict separation point for both perfectly\u0000and imperfectly round cylinders without additional information. When the roundness imperfection\u0000ratio reaches 2% and the Reynolds number reaches 3900, both approaches indicate that the\u0000flow separation point converges to the location of GB on the cylinder surface and the two sets of\u0000predicted separation points agree well.\u0000","PeriodicalId":184819,"journal":{"name":"Current Chinese Science","volume":"25 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140263726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}