Amantadine modulates novel macrophage phenotypes to enhance neural repair following spinal cord injury by Shijie Yang, Beibei Yu, Qing Zhang, Yongfeng Zhang, Longhui Fu, Bisheng Zhou, Haining Wu, Jianzhong Li, Shouping Gong

“…Methods We employed microarray and single-cell RNA sequencing (scRNA-seq) to investigate gene expression changes and immune cell dynamics in mice following crush injury at 3 and 7 days post-injury (dpi). …”
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Characterization of mammary glands and milk fat globule transcripts in lactating buffalo and goats by Hancai Jiang, Xiaoxian Xu, Shuwan Wang, Xinhui Song, Ling Li, Qingyou Liu, Kuiqing Cui, Deshun Shi, Jian Wang, Hui Li, Jieping Huang, Zhipeng Li

“…Gene expression and post-transcriptional regulation are key mechanisms affecting lactation performance in dairy animals. …”
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The endoplasmic reticulum degradation-enhancing α-mannosidase-like protein 3 attenuates the unfolded protein response and has pro-survival and pro-viral roles in hepatoma cells and... by Alina-Veronica Ghionescu, Mihaela Uta, Andrei Sorop, Catalin Lazar, Petruta R. Flintoaca-Alexandru, Gabriela Chiritoiu, Livia Sima, Stefana-Maria Petrescu, Simona Olimpia Dima, Norica Branza-Nichita

“…However, the significance of this gene expression pattern in HBV-driven pathology is just beginning to be deciphered. …”
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Six MicroRNA Prognostic Models for Overall Survival of Lung Adenocarcinoma by Juan Li, Xuyu Gu, Chanchan Gao, Jun Zhang

“…The purpose of this study is to screen for microRNAs (miRNAs) associated with the prognosis of lung adenocarcinoma (LUAD) and to explore its prognosis and effects on the tumor microenvironment in patients with LUAD. Methods. Gene expression data, miRNA expression data, and clinical data for two different databases, TCGA-LUAD and CPTAC-3 LUAD, were downloaded from the GDC database. …”
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Excessive copper induces lignin biosynthesis in the leaves and roots of two citrus species: Physiological, metabolomic and anatomical aspects by Xin Zhou, Xing Xiong, Fei Lu, Wenqing Shi, Yu Zhou, Ningwei Lai, Li-Song Chen, Zeng-Rong Huang

“…The enzyme activity and gene expression revealed that activating lignin-biosynthetic enzymes, such as L-phenylalanine ammonia-lyase, peroxidase and laccase, played an essential role in lignin biosynthesis. …”
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Pirfenidone Accelerates Wound Healing in Chronic Diabetic Foot Ulcers: A Randomized, Double-Blind Controlled Trial by Luz E. Gasca-Lozano, Silvia Lucano-Landeros, Héctor Ruiz-Mercado, Adriana Salazar-Montes, Ana Sandoval-Rodríguez, Jesus Garcia-Bañuelos, Arturo Santos-Garcia, Judith R. Davila-Rodriguez, José Navarro-Partida, Hiram Bojórquez-Sepúlveda, Juan Castañeda-Gomez, José Domínguez-Rosales, Myriam A. Ruiz-Arcos, María Guadalupe Sánchez-Parada, Juan Armendariz-Borunda

“…Relative ulcer volume (RUV) was measured every month; biopsies were taken at baseline and months 1 and 2 for histopathology and gene expression analysis for COL-1α, COL-4, KGF, VEGF, ACTA2 (α-SMA), elastin, fibronectin, TGF-β1, TGF-β3, HIF-1α, and HIF-1β. …”
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Time-Qualified Patterns of Variation of PPARγ, DNMT1, and DNMT3B Expression in Pancreatic Cancer Cell Lines by Valerio Pazienza, Francesca Tavano, Massimo Francavilla, Andrea Fontana, Fabio Pellegrini, Giorgia Benegiamo, Vincenzo Corbo, Fabio Francesco di Mola, Pierluigi Di Sebastiano, Angelo Andriulli, Gianluigi Mazzoccoli

“…The time-qualified profiles of gene expression showed different shapes and phase relationships in the PC cell lines examined. …”
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Multi-Omics Analysis in Mouse Primary Cortical Neurons Reveals Complex Positive and Negative Biological Interactions Between Constituent Compounds of <i>Centella asiatica</i> by Steven R. Chamberlin, Jonathan A. Zweig, Cody J. Neff, Luke Marney, Jaewoo Choi, Liping Yang, Claudia S. Maier, Amala Soumyanath, Shannon McWeeney, Nora E. Gray

“…<b>Conclusions:</b> Four gene expression modules and two metabolite modules were altered by the four treatment types applied. …”
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New Insights into the Role of Inflammatory Pathways and Immune Cell Infiltration in Sleep Deprivation-Induced Atrial Fibrillation: An Integrated Bioinformatics and Experimental Stu... by Liang J, Tang B, Shen J, Rejiepu M, Guo Y, Wang X, Shao S, Guo F, Wang Q, Zhang L

“…The objective of this research was to pinpoint the shared molecular routes responsible for SD-induced AF and investigate possible treatment targets.Methods: Utilizing bioinformatics, we examined two transcriptome datasets from the Gene Expression Omnibus (GEO) database to pinpoint genes with differential expression (DEGs) common to SD and AF. …”
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Effects of Dietary Nano-Composite of Copper and Carbon on Antioxidant Capacity, Immunity, and Cecal Microbiota of Weaned Ira White Rabbits by Ying-Huan Zhou, Xiao-Ping Liu, Xiao-Ming Gu, Hai-Xuan Lv, Yun Yang, Zai-Xing Cai, Bin Di, Chang-Kang Wang, Yu-Yun Gao, Ling Jin

“…The results showed that dietary NCCC supplementation increased the liver Cu/Zn-SOD content and up-regulated the gene expression of Cu/Zn-SOD (<i>p</i> < 0.05), while also reducing the content of MDA in the liver and enhancing the antioxidant capacity of Ira white rabbits. …”
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The Legionella pneumophila effector PieF modulates mRNA stability through association with eukaryotic CCR4−NOT by Harley O'Connor Mount, Malene L. Urbanus, Francesco Zangari, Anne-Claude Gingras, Alexander W. Ensminger

“…In mammalian cells, expression of PieF leads to a variety of quantifiable phenotypes: PieF silences gene expression and reduces mRNA steady-state levels when artificially tethered to a reporter transcript, and its overexpression results in the nuclear exclusion of CNOT7. …”
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MTMR6 downregulation contributes to cisplatin resistance in oral squamous cell carcinoma by Kah Young Lee, Su Young Oh, Heon-Jin Lee, Tae-Geon Kwon, Jin-Wook Kim, Chang-Geol Shin, Su-Hyung Hong, So-Young Choi

“…A luciferase assay confirmed that hsa-miR-544a regulates MTMR6 gene expression. Additionally, antagomir and miRNA mimics demonstrated that hsa-miR-544a enhances cisplatin resistance by suppressing MTMR6 expression. …”
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A novel early stage drip irrigation system cost estimation model based on management and environmental variables by Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat

“…Then, different machine learning models such as Multivariate Linear Regression, Support Vector Regression, Artificial Neural Networks, Gene Expression Programming, Genetic Algorithms, Deep Learning, and Decision Trees, were used to estimate the costs of each of the of the aforementioned sections. …”
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Characterizing immune biomarkers and effector CD8+ T-cell exhaustion in pancreatic adenocarcinoma via single-cell RNA sequencing profiling by Rawaa AlChalabi, Raghda Makia, Semaa A. Shaban, Ahmed AbdulJabbar Suleiman

“…Methods: We employed a multi-omics approach, integrating single-cell RNA sequencing data with whole genome sequencing to identify dysregulated exhaustion-related immune markers in CD8+ T-cells in PDAC. We examined gene expression profiles and conducted functional enrichment analysis to evaluate their roles in immune exhaustion. …”
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Genetic Nurture Effects on Type 2 Diabetes Among Chinese Han Adults: A Family-Based Design by Xiaoyi Li, Zechen Zhou, Yujia Ma, Kexin Ding, Han Xiao, Tao Wu, Dafang Chen, Yiqun Wu

“…Tissue enrichment of type 2 diabetes-associated genes on different genetic effect types was performed using publicly available gene expression data from the Human Protein Atlas database. …”
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Effect of triple-frequency sono-germination and soaking treatments on techno-functional characteristics of barley by Tabussam Tufail, Huma Bader Ul Ain, Jawad Ashraf, Muhammad Safiullah Virk, Zahoor Ahmed, Mokhtar Dabbour, Tawfiq Alsulami, Suleiman Althawab, Bin Xu

“…The study also found increased γ-Aminobutyric Acid (GABA) levels and antidiabetic potential through inhibition of α-amylase and α-glucosidase enzymes. Further, gene expression analysis revealed differential regulation of phenylpropanoid pathway genes, contributing to the bioactive compound enhancement. …”
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Identification of mesenchymal stem cell populations with high osteogenic potential using difference in cell division rate by Maya Watanabe, Yukiyo Asawa, Dan Riu, Tomoaki Sakamoto, Kazuto Hoshi, Atsuhiko Hikita

“…Real-time qPCR was also performed to examine the differences in gene expression between the fast- and slow-dividing cell groups immediately after aliquoting and after osteogenic differentiation. …”
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Age-Related Macular Degeneration (AMD) Transmitochondrial Cybrids Protected from Cellular Damage and Death by Human Retinal Progenitor Cells (hRPCs) by Jeffrey J. Yu, Daniel B. Azzam, Marilyn Chwa, Kevin Schneider, Jang-Hyeon Cho, Chinhui Hsiang, Henry Klassen, M. Cristina Kenney, Jing Yang

“…AMD cybrids cocultured with hRPCs showed (1) increased cell viability; (2) decreased gene expression related to apoptosis, autophagy, endoplasmic reticulum (ER) stress, and antioxidant pathways; and (3) downregulation of mitochondrial replication genes compared to AMD cybrids without hRPC treatment. …”
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ITGA4 as a potential prognostic and immunotherapeutic biomarker in human cancer and its clinical significance in gastric cancer: an integrated analysis and validation by Jiaxing Zhang, Jiaxing Zhang, Gang Wang, Jie Liu, Futian Tang, Song Wang, Yumin Li, Yumin Li

“…ITGA4 positively correlated with immune cell infiltration, immune regulatory genes, chemokines, and might reduce microsatellite instability (MSI) and tumor mutation burden (TMB) by promoting MMR gene expression. It could also predict immunotherapy efficacy and chemotherapy sensitivity. …”
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CCR7 and CD48 as Predicted Targets in Acute Rejection Related to M1 Macrophage after Pediatric Kidney Transplantation by Jie Zhang, Jun Pei, Chengjun Yu, Jin Luo, Yifan Hong, Yi Hua, Guanghui Wei

“…A differential expression genes (DEGs) analysis was performed based on the dataset GSE174020 from the NCBI gene Expression Synthesis Database (GEO) and then combined with the GSE5099 M1 macrophage-related gene identified in the Molecular Signatures Database. …”
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