Tilianin Reduces Apoptosis via the ERK/EGR1/BCL2L1 Pathway in Ischemia/Reperfusion-Induced Acute Kidney Injury Mice by Zengying Liu, Chen Guan, Chenyu Li, Chenyu Li, Ningxin Zhang, Chengyu Yang, Lingyu Xu, Bin Zhou, Long Zhao, Hong Luan, Xiaofei Man, Yan Xu

“…Differential expression analysis and gene-set enrichment analysis (GSEA) were performed by R software to identify apoptosis pathway-related genes. Then, RcisTarget was applied to identify the transcription factor (TF) related to apoptosis. …”
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Prioritizing Support Offered to Caregivers by Examining the Status Quo and Opportunities for Enhancement When Using Web-Based Self-reported Health Questionnaires: Descriptive Quali... by Theresa Coles, Nicole Lucas, Erin Daniell, Caitlin Sullivan, Ke Wang, Jennifer M Olsen, Megan Shepherd-Banigan

“…The results of this qualitative study will drive the next steps for RCI’s web-based platform and expand on current standards for administering self-reported questionnaires in clinical practice settings.…”
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IL-2 Therapy Diminishes Renal Inflammation and the Activity of Kidney-Infiltrating CD4+ T Cells in Murine Lupus Nephritis by Angelika Rose, Caroline von Spee-Mayer, Lutz Kloke, Kaiyin Wu, Anja Kühl, Philipp Enghard, Gerd-Rüdiger Burmester, Gabriela Riemekasten, Jens Y. Humrich

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Pituitary Adenylate Cyclase-Activating Polypeptide—A Neuropeptide as Novel Treatment Option for Subacute Ileitis in Mice Harboring a Human Gut Microbiota by Stefan Bereswill, Ulrike Escher, Anne Grunau, Anja A. Kühl, Ildiko R. Dunay, Andrea Tamas, Dora Reglodi, Markus M. Heimesaat

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Toll-like receptor-4 differentially mediates intestinal and extra-intestinal immune responses upon multi-drug resistant Pseudomonas aeruginosa association of IL10−/− mice with chro... by Anne Grunau, Ulrike Escher, Anja A. Kühl, Stefan Bereswill, Markus M. Heimesaat

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Multidrug-Resistant Pseudomonas aeruginosa Accelerate Intestinal, Extra-Intestinal, and Systemic Inflammatory Responses in Human Microbiota-Associated Mice With Subacute Ileitis by Markus M. Heimesaat, Ulrike Escher, Anne Grunau, Anja A. Kühl, Stefan Bereswill

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Índice relativo de clorofila e o estado nutricional em nitrogênio durante o ciclo do cafeeiro fertirrigado Relative chlorophyll index and nitrogen status of fertigated coffee plant... by Leandro Jose Grava de Godoy, Thiago da Silva Santos, Roberto Lyra Villas Bôas, João Batista Leite Júnior

“…However, there was no correlation between beans yield with the leaf N concentration. The RCIs of high yielding coffee plants were 81.5-83.2 (flowering and beginning of fruit filling), 76.2-78.3 (fruit expansion) 68.3 - 69.8 (beginning of grain formation), 64.0-65.9 (during grain formation) and 61.7-62.7 SPAD units (grain maturation). …”
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Identification of potential ferroptosis-associated biomarkers in rheumatoid arthritis by Xu He, Xu He, Juqi Zhang, Juqi Zhang, Juqi Zhang, Mingli Gong, Yanlun Gu, Yanlun Gu, Yanlun Gu, Bingqi Dong, Xiaocong Pang, Xiaocong Pang, Chenglong Zhang, Yimin Cui, Yimin Cui, Yimin Cui

“…Genome-wide association studies (GWAS) analysis was performed to confirm the pathogenic regions of the hub genes. RcisTarget and Gene-motif ranking databases were used to identify transcription factors (TFs) associated with the hub genes. …”
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Network-based analysis identifies key regulatory transcription factors involved in skin aging by Xiao-Ming Wang, Ke Ming, Shuang Wang, Jia Wang, Peng-Long Li, Rui-Feng Tian, Shuai-Yang Liu, Xu Cheng, Yun Chen, Wei Shi, Juan Wan, Manli Hu, Song Tian, Xin Zhang, Zhi-Gang She, Hongliang Li, Yi Ding, Xiao-Jing Zhang

“…By integrating GENIE3 and RcisTarget, we constructed gene regulation networks (GRNs) for aging-related modules and identified core transcription factors (TFs) by intersecting significantly enriched TFs within the GRNs with hub TFs from WGCNA analysis, revealing key regulators of skin aging. …”
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Single-cell RNA and transcriptome sequencing profiles identify immune-associated key genes in the development of diabetic kidney disease by Xueqin Zhang, Peng Chao, Lei Zhang, Lin Xu, Xinyue Cui, Shanshan Wang, Miiriban Wusiman, Hong Jiang, Hong Jiang, Chen Lu, Chen Lu

“…Subsequently, immune cell infiltration between DKD and the control group was identified by using the “pheatmap” package, and the connection Matrix between the core genes and immune cell or function was illuminated through the “corrplot” package. Furthermore, RcisTarget and GSEA were conducted on public datasets for the analysis of the regulation relationship of key genes and it revealed the correlation between 3 key genes and top the 20 genetic factors involved in DKD. …”
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Identification of Biomarkers Associated With CD4+ T-Cell Infiltration With Gene Coexpression Network in Dermatomyositis by Peng Huang, Peng Huang, Li Tang, Li Tang, Lu Zhang, Lu Zhang, Yi Ren, Yi Ren, Hong Peng, Hong Peng, Yangyang Xiao, Yangyang Xiao, Jie Xu, Jie Xu, Dingan Mao, Dingan Mao, Lingjuan Liu, Lingjuan Liu, Liqun Liu, Liqun Liu

“…The key gene-correlated transcription factors were identified through the RcisTarget and Gene-motif rankings databases. The miRcode and DIANA-LncBase databases were used to build the lncRNA-miRNA-mRNA network.ResultsIn the brown module, 5 key genes (chromosome 1 open reading frame 106 (C1orf106), component of oligomeric Golgi complex 8 (COG8), envoplakin (EVPL), GTPases of immunity-associated protein family member 6 (GIMAP6), and interferon-alpha inducible protein 6 (IFI6)) highly associated with CD4+ T-cell infiltration were identified. …”
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