Whole blood transcriptomics analysis of Indonesians reveals translocated and pathogenic microbiota in blood. by Katalina Bobowik, Muhamad Fachrul, Chelzie Crenna Darusallam, Pradiptajati Kusuma, Herawati Sudoyo, Clarissa A Febinia, Safarina G Malik, Christine A Wells, Irene Gallego Romero

“…Yet, Flaviviridae and Plasmodium stood out as the most predominantly abundant taxa, particularly in samples from the easternmost island within our Indonesian dataset. …”
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Universal receptive system as a novel regulator of transcriptomic activity of Staphylococcus aureus by George Tetz, Kristina Kardava, Maria Vecherkovskaya, Alireza Khodadadi-Jamayran, Aristotelis Tsirigos, Victor Tetz

“…KEGG pathway gene enrichment analysis revealed that the most upregulated pathways following TezR inactivation included those related to energy metabolism, cell wall metabolism, and secretion systems. …”
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Comparative transcriptomics of transgenic tobacco plants overexpressing Miscanthus sinensis BTF3 by Ji Won Seo, Da Ye Ham, Jae Geun Lee, Hee Young Kim, Ik Young Choi, Myong Jo Kim, Eun Soo Seong

“…This study was conducted to expand our understanding on plant transcriptome changes as there are no reports on plant transcriptome changes in normal environments due to the overexpression of Miscanthus sinensis BTF3 gene. …”
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Integration of metabolomics and transcriptomics to reveal anti-immunosuppression mechanism of Lycium barbarum polysaccharide by Jiandong Wang, Xue Zhang, Yi Wu, Yi Wu, Qianfei Wei, Lingshan Yan, Youli Yu, Yanan Guo, Zhengqin Yu, Pan Wang, Xiaonan Yang

“…The integrated examination of transcriptomic and metabolomic data revealed that the glycerophospholipid metabolic pathway stands out as the most significant among all metabolic pathways. …”
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The developmental transcriptome dynamics of current-year shoot utilized as scion in Camellia chekiangoleosa by Yu Sheng, Haili Gao, Chunlian Yu, Guangyuan Huang, Kunxi Wang, Kailiang Wang, Leyan Lv, Wei Long

“…Abstract Background Camellia chekiangoleosa is the most widely planted red-flowered and large-fruited oil-camellia species, with high value in edible oil production and landscaping. …”
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Determining Prostate Cancer-Related Pathways and the Role of the RPH3AL Gene by Ömer Faruk Bayrak, Didem Seven

“…Among the five most over-expressed genes, RPH3AL was the most prominent.Conclusion: RPH3AL is a potential biomarker for prostate cancer based on transcriptomic profiling. …”
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Transcriptomic Analysis of Biofilm Formation Inhibition by PDIA Iminosugar in <i>Staphylococcus aureus</i> by Anna Tomusiak-Plebanek, Łucja Kozień, Estelle Gallienne, Maciej Florczyk, Sławomir Ciesielski, Piotr Heczko, Magdalena Strus

“…<b>Background:</b> Iminosugars are natural or synthetic sugar analogues with a very broad spectrum of activities, including those against the most prominent bacterial pathogens, like <i>P. aeruginosa</i> or <i>S. aureus.…”
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Integrated transcriptomic and metabolomic analyses reveal the molecular mechanism of flower color differentiation in Orychophragmus violaceus by Yubin Shi, Zixuan Wang, Zhuangzhuang Yan, Jianfeng Liu, Jun Zhang, Guixia Liu

“…Comparative analysis of the metabolites among the three flower samples revealed that two anthocyanins, peonidin-3-glucoside and delphinidin 3-(6’’-malonyl-glucoside), are the pigments most likely responsible for the coloration of the petals of O. violaceus. …”
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Genomic, transcriptomic and epigenomic signatures of ageing and cold adaptation in the Antarctic clam Laternula elliptica by Victoria A. Sleight, Melody S. Clark, Meghan K. Yap-Chiongco, Frances Turner, Kevin M. Kocot

“…In this study, we describe and analyse the genome of L. elliptica and use it as a tool to understand transcriptomic responses to shell damage across different age cohorts. …”
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Transgenerational toxicity assessment of [C8mim]Br: Focus on early development, antioxidant defense, and transcriptome profiles in zebrafish by Fei Zhao, Ying Shen, Zhongjun Ma, Huiqing Tian, Bingkun Duan, Yihua Xiao, Changqing Liu, Xueqing Shi, Dong Chen, Wei Wei, Rui Jiang, Penghao Wei

“…1-Methyl-3-octylimidazolium bromide ([C8mim]Br), one of the most widely used and studied ionic liquids, is a contaminant of emerging concern. …”
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Molecular Mechanisms Underlying Salt Tolerance in Maize: A Combined Transcriptome and Metabolome Analysis by Shaoqi Ren, Tianhang Bai, Yaqi Ma, Yingjie Zhao, Jiabin Ci, Xuejiao Ren, Zhenyuan Zang, Chengqian Ma, Ruyi Xiong, Xinyao Song, Wei Yang, Weiguang Yang

“…Maize (<i>Zea mays</i> L.) is one of the most important food crops. Salt stress can hinder crop growth and development, but the molecular mechanisms underlying maize’s response to salt tolerance remain unclear. …”
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Single‐Cell Transcriptomics Reveals a Pivotal Role of DOCK2 in Sjögren Disease by Yiran Shen, Alexandria Voigt, Indraneel Bhattacharyya, Cuong Q. Nguyen

“…By analyzing the transcriptomic data and employing clustering analysis, a specific target was identified, leading to the treatment of mice with a targeted inhibitor. …”
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The effect of visfatin on the transcriptomic profile of porcine anterior pituitary cells during periimplantation period by Kamil Dobrzyn, Grzegorz Kopij, Marta Kiezun, Ewa Zaobidna, Marlena Gudelska, Barbara Zarzecka, Katarzyna Kisielewska, Agnieszka Rak, Nina Smolinska, Tadeusz Kaminski

“…Visfatin, a hormone belonging to the adipokines family, may belong to a group of factors regulating the reproductive functions in response to the female’s metabolic status. Herein we verified the hypothesis assuming a modulatory effect of visfatin on the porcine anterior pituitary transcriptome on days 15 to 16 of gestation (beginning of implantation). …”
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Differential expression and correlation analysis of global transcriptome for obstructive sleep apnea hypopnea syndrome by Ziyi Chen, Guihua Wang, Lichen Song, Yuanyuan Zhang, Guangming Wang

“…By constructing a quaternary network miR-8485 and miR-6089 were found to be the top two ranked miRNAs most closely associated with OSAHS. Both qRT-PCR and transcriptome sequencing analysis showed similar trends. …”
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Transcriptomic Analysis of Tambaqui (<i>Colossoma macropomum</i>) Exposed to Trichlorfon-Induced Toxicity by Hallana Cristina Menezes da Silva, Igor Kelvyn Cavalcante Lobo, André Gentil da Silva, Ana Lúcia Silva Gomes, Wallice Paxiúba Duncan, Juliana Costa Silva, Fabrício M. Lopes, Roberto Ferreira Artoni, Daniele Aparecida Matoso

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Transcriptomic analysis reveals the mechanism underlying salinity-induced morphological changes in Skeletonema subsalsum by Jingwen Hu, Ya Zheng, Shuang Yang, Lin Yang, Lin Yang, Qingmin You, Quanxi Wang

“…Although studies have shown that salinity induces morphological plasticity changes in diatom cell walls, most research has focused on physiological responses rather than molecular mechanisms. …”
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Angiogenesis-related genes and immune microenvironment in moyamoya disease: a transcriptomic and functional analysis by Zhenyu Zhou, Hongchuan Niu, Shaoqi Xu, Junze Zhang, Yutong Liu, Chengxu Lei, Shihao He, Yuanli Zhao

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Identification of novel biomarkers and prognostic model for neuroblastoma using Mendelian randomization and transcriptomic analysis by Yongcheng Fu, Nan Zhang, Jian Cheng, Xiaohan Qin, Xing Zhou, Xiaoran Du, Yuanyuan Wang, Jingyue Wang, Da Zhang

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Genomic and Transcriptomic Profiles in Smokers and Never-Smokers Lung Squamous Cell Carcinoma Patients by Canale M, Virga A, Angeli D, Fonzi E, Gnetti L, Dubini A, Tedaldi G, Urbini M, Bocchialini G, Petracci E, Verlicchi A, Cravero P, Citarella F, Bennati C, Andrikou K, Delmonte A, Crinò L, Carbognani P, Ulivi P, Ampollini L

“…TruSight Oncology® 500, investigating hotspots in 523 cancer-related genes, Tumor mutation burden (TMB) and microsatellite instability (MSI), and RNA sequencing was performed on tumor tissue. Genomic and transcriptomic profiles were compared between smokers and never-smoker patients.Results: The most frequently altered genes were TP53 (67%), CDKN2A (20%) and PIK3CA (17%), with no substantial differences between groups, except for TP53 which was more frequently mutated in smokers (86.7% vs 46.7%, p = 0.05), who also showed a higher TMB with respect to non-smokers (median 11 mut/Mb vs 5.5 mut/Mb, p = 0.028); all patients were stable for MSI score (median 1.87 vs 1.82, p = 0.87). …”
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Transcriptome analysis of Aedes aegypti midgut and salivary gland post-Zika virus infection by Chunling Zhu, Yuting Jiang, Qianghui Zhang, Jian Gao, Chaojie Li, Chunxiao Li, Yande Dong, Dan Xing, Hengduan Zhang, Teng Zhao, Xiaoxia Guo, Tongyan Zhao

“…Our findings demonstrate that Ae. aegypti exhibit distinct transcriptomic changes in response to ZIKV infection. …”
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