Results 1 to 10 of about 3,651,834 (302)

Hunting for differentially expressed genes [PDF]

Brazilian Journal of Medical and Biological Research, 1999
Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA ...
C.G. Vedoy, M.H. Bengtson, M.C. Sogayar
doaj   +5 more sources

Potential biomarkers and molecular mechanisms in preeclampsia progression

Open Life Sciences, 2022
This study aimed to explore potential biomarkers and molecular mechanisms in preeclampsia (PE) progression. Gene expression profiles of GSE147776 and GSE96984 were downloaded, followed by the identification of common differentially expressed genes (co ...
Li Guohua, Huang Shijia, Liu Xiaosong, Du Qiaoling   +3 more
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Identification of the transcriptome profile of after mebendazole treatment [PDF]

Kosin Medical Journal, 2022
Background The scuticociliate Miamiensis avidus is a major pathogenic agent that causes significant economic losses in the flounder aquaculture industry. Many different types of drugs are being tested to control this disease, including mebendazole, which
Hyunsu Kim, A-Reum Lee, Kyung-Yoon Jeon, Eun-Ji Ko, Hee-Jae Cha, Mee Sun Ock   +5 more
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Uncovering potential genes in colorectal cancer based on integrated and DNA methylation analysis in the gene expression omnibus database

BMC Cancer, 2022
Background Colorectal cancer (CRC) is major cancer-related death. The aim of this study was to identify differentially expressed and differentially methylated genes, contributing to explore the molecular mechanism of CRC.
Guanglin Wang, Feifei Wang, Zesong Meng, Na Wang, Chaoxi Zhou, Juan Zhang, Lianmei Zhao, Guiying Wang, Baoen Shan   +8 more
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Bioinformatics analysis of miRNA and mRNA expression profiles to reveal the key miRNAs and genes in osteoarthritis

Journal of Orthopaedic Surgery and Research, 2021
Background Osteoarthritis (OA) is a chronic degenerative joint disease and the most frequent type of arthritis. This study aimed to identify the key miRNAs and genes associated with OA progression.
Pei-yan Huang, Jun-guo Wu, Jun Gu, Tie-qi Zhang, Ling-feng Li, Si-qun Wang, Minghai Wang   +6 more
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Transcriptomic and proteomic analyses of ovarian follicles reveal the role of VLDLR in chicken follicle selection

BMC Genomics, 2020
Background Follicle selection in chickens refers to the process of selecting one follicle from a group of small yellow follicles (SY, 6–8 mm in diameter) for development into 12–15 mm hierarchical follicles (usually F6 follicles), which is an important ...
Qiuyue Chen, Yiya Wang, Zemin Liu, Xiaoli Guo, Yi Sun, Li Kang, Yunliang Jiang   +6 more
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Network analysis of potential risk genes for psoriasis

Hereditas, 2021
Background Psoriasis is a complex chronic inflammatory skin disease. The aim of this study was to analyze potential risk genes and molecular mechanisms associated with psoriasis.
Huilin Wang, Wenjun Chen, Jin He, Wenjuan Xu, Jiangwei Liu   +4 more
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β-Glucosidase genes differentially expressed during composting

Biotechnology for Biofuels, 2020
Background Cellulose degradation by cellulase is brought about by complex communities of interacting microorganisms, which significantly contribute to the cycling of carbon on a global scale.
Xinyue Zhang, Bo Ma, Jiawen Liu, Xiehui Chen, Shanshan Li, Erlie Su, Liyuan Gao, Hongtao Li   +7 more
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Specific Differentially Methylated and Expressed Genes in People with Longevity Family History

Iranian Journal of Public Health, 2020
Background: We attempt to identify specific differentially methylated and expressed genes in people with longevity family history, it will contribute to discover significant features about human longevity.
Chunhong LI, Qingqing NONG, Bin GUAN, Haoyu HE, Zhiyong ZHANG   +4 more
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Identification of Key Endometrial MicroRNAs and Their Target Genes Associated With Pathogenesis of Recurrent Implantation Failure by Integrated Bioinformatics Analysis

Frontiers in Genetics, 2022
Purpose: Recurrent implantation failure (RIF) is an enormous challenge for in vitro fertilization (IVF) clinicians. An understanding of the molecular mechanisms of RIF helps to predict prognosis and develop new therapeutic strategies.
Jin Shang, Yan-Fei Cheng, Yan-Fei Cheng, Min Li, Hui Wang, Jin-Ning Zhang, Xin-Meng Guo, Dan-dan Cao, Yuan-Qing Yao, Yuan-Qing Yao   +9 more
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