Integrative transcriptome profiling for identifying ALS potential treatment using the drug repurposing approach by Navid Kashani, Amir Sabbaghian, Fatemeh EmamiPari, Mohammad Khalili Gorjimahalleh, Mahdi Aalikhani

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Exosome-like nanovesicles derived from kale juice enhance collagen production by downregulating Smad7 in human skin fibroblasts by Peihan Hsu, Yuriko Kamijyo, Emiri Koike, Saki Ichikawa, Yifeng Zheng, Tomohiro Ohno, Shigeru Katayama, Shigeru Katayama

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An electrolyte-gated transistor for the monitoring of a CRISPR/Cas activity by Pierre Guermonprez, Le Tu Anh, Louis Renaud, Pierre Nioche, Eric Krejci, Aurélie Alleaume-Butaux, Nicolas Battaglini, Vu Thi Thu, Sébastien Sanaur, Benoît Piro

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Single-cell transcriptomic profiling of heart reveals ANGPTL4 linking fibroblasts and angiogenesis in heart failure with preserved ejection fraction by Guoxing Li, Huilin Zhao, Zhe Cheng, Junjin Liu, Gang Li, Yongzheng Guo

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Effects of tissue type and season on the detection of regulated sugarcane viruses by high throughput sequencing by Stephen Bolus, Kate Wathen-Dunn, Samuel C. Grinstead, Xiaojun Hu, Martha Malapi, Dimitre Mollov

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COVID-19 Vaccine Booster Dose Fails to Enhance Antibody Response to Omicron Variant in Reinfected Healthcare Workers by Leire Fernández-Ciriza, Álvaro González, José Luis del Pozo, Alejandro Fernandez-Montero, Francisco Carmona-Torre, Paula Martínez de Aguirre, María del Mar Sarasa, Silvia Carlos, Gabriel Reina

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Single-nucleus transcriptomes reveal the underlying mechanisms of dynamic whitening in thermogenic adipose tissue in goats by Manman Li, Nange Ma, Shujie Luo, Yuyi Lu, Xixi Yan, Yang Li, Xinmei Li, Zhuohui Li, Zhipei Wu, Zhenyu Wei, Wei Wang, Huimei Fan, Yu Jiang, Yan Xiong, Yu Wang

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Could hypoxic conditioning augment the potential of mesenchymal stromal cell-derived extracellular vesicles as a treatment for type 1 diabetes? by Cathal Patrick Forkan, Aruna Shrestha, Alfred Yu, Christine Chuang, Flemming Pociot, Reza Yarani

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Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference by Yinlei Lei, Min Li, Han Zhang, Yu Deng, Xinyu Dong, Pengyu Chen, Ye Li, Suhua Zhang, Chengtao Li, Shouyu Wang, Ruiyang Tao

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Transcriptomic signatures of subcutaneous adipose tissue in patients with diabetes and coronary artery disease: a pilot study by Ilias P. Doulamis, Bernard Pan, Aspasia Tzani, Jorge Plutzky, G. William Wong, Ahmet Kilic, Risa M. Wolf

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Epithelial cell diversity and immune remodeling in bladder cancer progression: insights from single-cell transcriptomics by Jianpeng Li, Yunzhong Jiang, Minghai Ma, Lu Wang, Minxuan Jing, Zezhong Yang, Mengzhao Zhang, Ke Chen, Jinhai Fan

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Taxonomic and Functional Dynamics of Bacterial Communities During Drift Seaweed Vermicomposting by Manuel Aira, Ana Gómez-Roel, Jorge Domínguez

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Single-cell transcriptomics unveils multifaceted immune heterogeneity in early-onset versus late-onset cervical cancer by Qian Chen, Dongfeng Deng, Hong Zhu, Shan Li

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Scavenger Receptor Class B, Type I, a CD36 Related Protein in Macrobrachium nipponense: Characterization, RNA Interference, and Expression Analysis with Different Dietary Lipid Sources by Zhili Ding, Na Luo, Youqin Kong, Jingfen Li, Yixiang Zhang, Fang Cao, Jinyun Ye

“…The MnSR-BI primary structure consisted of a CD36 domain that contained two transmembrane regions at the N- and C-terminals of the protein. SR-BI mRNA expression was specifically detected in muscle, gill, ovum, intestine, hepatopancreas, stomach, and ovary tissues. …”
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Identification of Dietzia spp. from Cardiac Tissue by 16S rRNA PCR in a Patient with Culture-Negative Device-Associated Endocarditis: A Case Report and Review of the Literature by Praveen Sudhindra, Guiqing Wang, Robert B. Nadelman

“…Here we describe the identification of Dietzia natronolimnaea/D. cercidiphylli by PCR amplification and sequencing of the 16S rRNA encoding gene from cardiac tissue in a patient with culture-negative device-associated endocarditis.…”
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Spray-Induced Gene Silencing (SIGS): Nanocarrier-Mediated dsRNA Delivery Improves RNAi Efficiency in the Management of Lettuce Gray Mold Caused by <i>Botrytis cinerea</i> by Maria Spada, Claudio Pugliesi, Marco Fambrini, Diego Palpacelli, Andrea Caneo, Susanna Pecchia

Subjects: “…double stranded RNA…”
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Integration of single-cell and bulk RNA-sequencing data to construct and validate a signature based on NK cell marker genes to predict immunotherapy response and prognosis in colorectal cancer by Xiaoyu Qin, Wenjuan Xu, Jinxiu Wu, Ming Li

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SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden by Bethany K. Hughes, Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, Cleo L. Bishop

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Comparative mRNA Expression of eEF1A Isoforms and a PI3K/Akt/mTOR Pathway in a Cellular Model of Parkinson’s Disease by Kawinthra Khwanraj, Suriyat Madlah, Khwanthana Grataitong, Permphan Dharmasaroja

“…In this paper, the expression of all gene members of the PI3K/Akt/mTOR pathway in relation to those of the eEF1A isoforms in a cellular model of PD was investigated at the mRNA level. The results showed a similar trend of upregulation of genes of the eEF1A isoforms (eEF1A1 and eEF1A2) and of the PI3K (classes I–III)/Akt (Akt1, Akt2, and Akt3)/mTOR (mTORC1 and mTORC2) pathway in both nondifferentiated and differentiated SH-SY5Y dopaminergic cells treated with 1-methyl-4-phenylpyridinium (MPP+). …”
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29 m6A-RNA Methylation (Epitranscriptomic) Regulators Are Regulated in 41 Diseases including Atherosclerosis and Tumors Potentially via ROS Regulation – 102 Transcriptomic Dataset Analyses by Ming Liu, Keman Xu, Fatma Saaoud, Ying Shao, Ruijing Zhang, Yifan Lu, Yu Sun, Charles Drummer, Li Li, Sheng Wu, Satya P. Kunapuli, Gerard J. Criner, Jianxin Sun, Huimin Shan, Xiaohua Jiang, Hong Wang, Xiaofeng Yang

“…We performed a database mining on 102 transcriptomic datasets for the expressions of 29 m6A-RNA methylation (epitranscriptomic) regulators (m6A-RMRs) in 41 diseases and cancers and made significant findings: (1) a few m6A-RMRs were upregulated; and most m6A-RMRs were downregulated in sepsis, acute respiratory distress syndrome, shock, and trauma; (2) half of 29 m6A-RMRs were downregulated in atherosclerosis; (3) inflammatory bowel disease and rheumatoid arthritis modulated m6A-RMRs more than lupus and psoriasis; (4) some organ failures shared eight upregulated m6A-RMRs; end-stage renal failure (ESRF) downregulated 85% of m6A-RMRs; (5) Middle-East respiratory syndrome coronavirus infections modulated m6A-RMRs the most among viral infections; (6) proinflammatory oxPAPC modulated m6A-RMRs more than DAMP stimulation including LPS and oxLDL; (7) upregulated m6A-RMRs were more than downregulated m6A-RMRs in cancer types; five types of cancers upregulated ≥10 m6A-RMRs; (8) proinflammatory M1 macrophages upregulated seven m6A-RMRs; (9) 86% of m6A-RMRs were differentially expressed in the six clusters of CD4+Foxp3+ immunosuppressive Treg, and 8 out of 12 Treg signatures regulated m6A-RMRs; (10) immune checkpoint receptors TIM3, TIGIT, PD-L2, and CTLA4 modulated m6A-RMRs, and inhibition of CD40 upregulated m6A-RMRs; (11) cytokines and interferons modulated m6A-RMRs; (12) NF-κB and JAK/STAT pathways upregulated more than downregulated m6A-RMRs whereas TP53, PTEN, and APC did the opposite; (13) methionine-homocysteine-methyl cycle enzyme Mthfd1 downregulated more than upregulated m6A-RMRs; (14) m6A writer RBM15 and one m6A eraser FTO, H3K4 methyltransferase MLL1, and DNA methyltransferase, DNMT1, regulated m6A-RMRs; and (15) 40 out of 165 ROS regulators were modulated by m6A eraser FTO and two m6A writers METTL3 and WTAP. …”
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