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  • Open Access

    ARTICLE

    Transcriptome analysis reveals tumor antigen and immune subtypes of melanoma

    JIAHENG XIE1,#, MENGMENG OU1,#, PAN YU1,#, DAN WU2,#, QIKAI TANG3, YUAN CAO4, JING HANG5, LU YIN1, TINGHONG XIANG1, MING WANG1,*, JINGPING SHI1,*

    Oncology Research, Vol.31, No.3, pp. 389-403, 2023, DOI:10.32604/or.2023.029274

    Abstract Purpose: To screen potential tumor antigens for melanoma vaccine development and identify different immune subtypes. Methods: Transcriptional data (HTSEQ-FPKM) and clinical information of a 472 Melanoma cohort GDC TCGA Melanoma (SKCM) were downloaded from the UCSC XENA website (). Subsequently, transcriptome data and clinical information of 210 melanoma cohort GSE65904 were downloaded from Gene Expression Omnibus (GEO), a large global public database. All the transcriptome expression data matrices were log2 transformed for subsequent analysis. GEPIA, TIMER, and IMMPORT databases are also used for analysis. Cell function experiments were performed to validate the role of the IDO1 gene in melanoma cell… More >

  • Open Access

    REVIEW

    A broad overview of genotype imputation: Standard guidelines, approaches, and future investigations in genomic association studies

    MIRKO TRECCANI*, ELENA LOCATELLI, CRISTINA PATUZZO, GIOVANNI MALERBA*

    BIOCELL, Vol.47, No.6, pp. 1225-1241, 2023, DOI:10.32604/biocell.2023.027884

    Abstract The advent of genomic big data and the statistical need for reaching significant results have led genome-wide association studies to be ravenous of a huge number of genetic markers scattered along the whole genome. Since its very beginning, the so-called genotype imputation served this purpose; this statistical and inferential procedure based on a known reference panel opened the theoretical possibility to extend association analyses to a greater number of polymorphic sites which have not been previously assayed by the used technology. In this review, we present a broad overview of the genotype imputation process, showing the most known methods and… More >

  • Open Access

    REVIEW

    SOLAR DRYING OF HERBAL WEALTH IN EASTERN HIMALAYA: A REVIEW

    Priyanka Chauhana , Himani Pathaniaa, Shriyaa, Neetikaa, Nidhia, Sakshia, Sheetal Choudharya, Rajesh Kumarb,*, Mamta Sharmaa,c,*, Sameer Rahatekard, Anil Kumare,*

    Frontiers in Heat and Mass Transfer, Vol.18, pp. 1-20, 2022, DOI:10.5098/hmt.18.34

    Abstract Solar dryers have proven to be one of the best environmentally friendly approaches for drying purpose of medicinal plants and agricultural crops. Use of solar radiations in drying purpose of plant parts has proven economically as well as environmentally responsible and sensible application. Plants are the treasure of nature with hidden medicinal properties to treat diseases. Plant material should be processed properly for extraction of medicinal molecules in terms drying to decrease the manufacturing loss and to increase the standard of product. Cognizances of ethnobotanical knowledge on plant wealth are extremely beneficial in utilization and exploration of natural resources. Conventionally,… More >

  • Open Access

    ARTICLE

    Estimation of Genetic Divergence and Character Association Studies in Local and Exotic Diversity Panels of Soybean (Glycine max L.) Genotypes

    Syed Ali Zafar1,*, Muhammad Aslam2, Haroon Zaman Khan3, Sehrish Sarwar1, Rao Saad Rehman4, Mariam Hassan1, Ramala Masood Ahmad2, Rafaqat A. Gill5, Basharat Ali6, Ibrahim Al-Ashkar7, Abdullah Ibrahim7, Md Atikur Rahman8, Ayman El Sabagh9,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1887-1906, 2023, DOI:10.32604/phyton.2023.027679

    Abstract The availability of favorable genetic diversity is a thriving vitality for the success of a breeding program. It provides a firm basis of selecting superior breeding lines for the development of high yielding crop genotypes. In this context, present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean genotypes. Analysis of variance revealed significant response of the evaluated genotypes based on studied attributes. It depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity analysis. Correlation analysis revealed that seed yield… More >

  • Open Access

    ARTICLE

    LncRNA CACNA1G-AS1 up-regulates FTH1 to inhibit ferroptosis and promote malignant phenotypes in ovarian cancer cells

    YANPING JIN1, JIANPING QIU1, XIUFANG LU1, YAN MA1, GUOWEI LI2,*

    Oncology Research, Vol.31, No.2, pp. 169-179, 2023, DOI:10.32604/or.2023.027815

    Abstract Previous study revealed that ferritin heavy chain-1 (FTH1) could regulate ferritinophagy and affect intracellular Fe2+ content in various tumors, while its N6-methyladenosine (m6A) RNA methylation was closely related the prognosis of ovarian cancer patients. However, little is known about the role of FTH1 m6A methylation in ovarian cancer (OC) and its possible action mechanisms. In this study we constructed FTH1 m6A methylation regulatory pathway (LncRNA CACNA1G-AS1/IGF2BP1) according to related bioinformatics analysis and research, through clinical sample detections we found that these pathway regulatory factors were significantly up-regulated in ovarian cancer tissues, and their expression levels were closely related to the… More >

  • Open Access

    ARTICLE

    A Novel Cluster Analysis-Based Crop Dataset Recommendation Method in Precision Farming

    K. R. Naveen Kumar1, Husam Lahza2, B. R. Sreenivasa3,*, Tawfeeq Shawly4, Ahmed A. Alsheikhy5, H. Arunkumar1, C. R. Nirmala1

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3239-3260, 2023, DOI:10.32604/csse.2023.036629

    Abstract Data mining and analytics involve inspecting and modeling large pre-existing datasets to discover decision-making information. Precision agriculture uses data mining to advance agricultural developments. Many farmers aren’t getting the most out of their land because they don’t use precision agriculture. They harvest crops without a well-planned recommendation system. Future crop production is calculated by combining environmental conditions and management behavior, yielding numerical and categorical data. Most existing research still needs to address data preprocessing and crop categorization/classification. Furthermore, statistical analysis receives less attention, despite producing more accurate and valid results. The study was conducted on a dataset about Karnataka state,… More >

  • Open Access

    ARTICLE

    Automated Leukemia Screening and Sub-types Classification Using Deep Learning

    Chaudhary Hassan Abbas Gondal1,*, Muhammad Irfan2, Sarmad Shafique3, Muhammad Salman Bashir4, Mansoor Ahmed1, Osama M.Alshehri5, Hassan H. Almasoudi5, Samar M. Alqhtani6, Mohammed M. Jalal7, Malik A. Altayar7, Khalaf F. Alsharif8

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3541-3558, 2023, DOI:10.32604/csse.2023.036476

    Abstract Leukemia is a kind of blood cancer that damages the cells in the blood and bone marrow of the human body. It produces cancerous blood cells that disturb the human’s immune system and significantly affect bone marrow’s production ability to effectively create different types of blood cells like red blood cells (RBCs) and white blood cells (WBC), and platelets. Leukemia can be diagnosed manually by taking a complete blood count test of the patient’s blood, from which medical professionals can investigate the signs of leukemia cells. Furthermore, two other methods, microscopic inspection of blood smears and bone marrow aspiration, are… More >

  • Open Access

    ARTICLE

    Response of Contrasting Rice Genotypes to Zinc Sources under Saline Conditions

    Muhammad Jan1,*, Muhammad Anwar-Ul-Haq2, Talha Javed3, Sadam Hussain4,*, Ilyas Ahmad5, Muhammad Ashraf Sumrah6, Javed Iqbal7, Babar Hussain Babar8, Aqsa Hafeez9, Muhammad Aslam5, Muhammad Tahir Akbar10, Marjan Aziz6, Khadiga Alharbi11, Izhar Ullah12

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1361-1375, 2023, DOI:10.32604/phyton.2023.026620

    Abstract Abiotic stresses are among the major limiting factors for plant growth and crop productivity. Among these, salinity is one of the major risk factors for plant growth and development in arid to semi-arid regions. Cultivation of salt tolerant crop genotypes is one of the imperative approaches to meet the food demand for increasing population. The current experiment was carried out to access the performance of different rice genotypes under salinity stress and Zinc (Zn) sources. Four rice genotypes were grown in a pot experiment and were exposed to salinity stress (7 dS m−1), and Zn (15 mg kg−1 soil) was… More >

  • Open Access

    ARTICLE

    Assessment of Intracardiac and Extracardiac Deformities in Patients with Various Types of Pulmonary Atresia by Dual-Source Computed Tomography

    Wenlei Qian1,#, Xinzhu Zhou2,#, Ke Shi1, Li Jiang1, Xi Liu3, Liting Shen1, Zhigang Yang1,*

    Congenital Heart Disease, Vol.18, No.1, pp. 113-125, 2023, DOI:10.32604/chd.2023.023542

    Abstract Background: Pulmonary atresia (PA) is a group of heterogeneous complex congenital heart disease. Only one study modality might not get a correct diagnosis. This study aims to investigate the diagnostic power of dual-source computed tomography (DSCT) for all intracardiac and extracardiac deformities in patients with PA compared with transthoracic echocardiography (TTE). Materials and Methods: This retrospective study enrolled 79 patients and divided them into three groups according to their main diagnosis. All associated malformations and clinical information, including treatments, were recorded and compared among the three groups. The diagnostic power of DSCT and TTE on all associated malformations were compared.… More > Graphic Abstract

    Assessment of Intracardiac and Extracardiac Deformities in Patients with Various Types of Pulmonary Atresia by Dual-Source Computed Tomography

  • Open Access

    ARTICLE

    A Secure Framework for Blockchain Transactions Protection

    Wafaa N. Al-Sharu1,*, Majdi K. Qabalin2, Muawya Naser2, Omar A. Saraerh1

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1095-1111, 2023, DOI:10.32604/csse.2023.032862

    Abstract One of the most extensively used technologies for improving the security of IoT devices is blockchain technology. It is a new technology that can be utilized to boost the security. It is a decentralized peer-to-peer network with no central authority. Multiple nodes on the network mine or verify the data recorded on the Blockchain. It is a distributed ledger that may be used to keep track of transactions between several parties. No one can tamper with the data on the blockchain since it is unchangeable. Because the blocks are connected by hashes, the transaction data is safe. It is managed… More >

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