Evidence for thermosensitivity of the cotton (Gossypium hirsutum L.) immature fiber (im) mutant via hypersensitive stomatal activity. by Hee Jin Kim, Naohiro Kato, Ruth Ndathe, Gregory N Thyssen, Don C Jones, Harish H Ratnayaka

“…Thus, we characterized growth and gas exchange in im and TM-1 under no stress and also investigated their stress responses by comparing gas exchange and transcriptomic profiles under high temperature. Phenotypic differences were detected between the NILs in non-fiber tissues although less pronounced than the variation in fibers. …”
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Metabolic and immune heterogeneity in stroke: Insights into subtype identification and biomarker discovery. by Wei Wang, Qiuyang Qian, Ziye Guo, Fangyi Lin, Weiming Lin, Zhigang Yuan, Mei Shen

“…This study aimed to investigate the metabolic and immune-related mechanisms underlying stroke subtypes using transcriptomic data and advanced computational tools. …”
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A cell isolation method from Ligusticum chuanxiong Hort. suitable for obtaining high-quality RNA for Smart-seq by Ruoshi Li, Mengmeng Wu, Shunlu Chen, Lan Huang, Can Wang, Zhiyin Yu, Feng Huang, Xiaofen Liu, Nianyin Zhu, Chi Song, Guihua Jiang, Xianmei Yin

“…Moreover, the significant differences in the transcriptomes of various small cell clusters types demonstrate the effectiveness and specificity of our manual dissection method.…”
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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease. by Laura-Jayne Gardiner, Anna Paola Carrieri, Karen Bingham, Graeme Macluskie, David Bunton, Marian McNeil, Edward O Pyzer-Knapp

“…Our inferred multi-modal features that are predictive of drug efficacy include multi-omic data (genomic and transcriptomic), demographic, medicinal and pharmacological data. …”
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Gene mapping and identification of candidate genes controlling carotenoid accumulation of yellow kernels in foxtail millet by Junjie Wang, Qi Ma, Yuyang Zhang, Qian Duan, Xiaoxi Zhen, Yaoyuan Zhang, Hongying Li, Yuanhuai Han, Bin Zhang

“…These variations markedly affected SiPSY1 expression levels, ultimately determining the phenotypic difference between yellow and white kernels. Conclusions These findings provide crucial genetic insights for the molecular mechanisms involved in carotenoid metabolism and lay a solid foundation for millet color breeding in foxtail millet.…”
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Transcription factor KLF2 is associated with the dysfunctional status of NK cells and the prognosis of pediatric B-ALL patients by Fang Wu, Huimin Xu, Benshan Zhang

“…Furthermore, we found that the expression of KLF2 in B-ALL at diagnosis was positively correlated with the percentage of leukemia cells and the positive rate of minimal residual disease (MRD), indicating that KLF2 is a marker of poor prognosis.ConclusionThere are dramatic differences at the single-cell level in the transcriptomics of NK cells between healthy donors and B-ALL patients. …”
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Male mouse skeletal muscle lacking HuR shows enhanced glucose disposal at a young age by Robert C. Noland, Robert C. Noland, Sujoy Ghosh, Sujoy Ghosh, Carlos J. Crisanto, Antonio Aleman, McKenna K. Chaney, Maitri K. Chauhan, Layla G. Loftis, Ally C. Goad, Christin F. Rickman, Samuel E. Velasquez, Jaycob D. Warfel, Jaycob D. Warfel

“…These mice also displayed greater respiratory exchange ratios than controls. None of these differences were noted in females. Transcriptomics showed far more differences between male and female mice than between control and HuR knockout mice. …”
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Pan-cancer analysis and experimental validation revealed the prognostic role of ZNF83 in renal and lung cancer cohorts by Peipei Wu, Yu Lin, Fang Dai, Huming Wang, Hantao Wen, Zihan Xu, Gengyun Sun, Zhaojie Lyu

“…In renal cancer, higher ZNF83 expression correlated with poorer overall survival, reinforcing its prognostic value. Although the difference in lung adenocarcinoma was not statistically significant, the expression trend was consistent with transcriptomic observations from the TCGA database. …”
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Year-round infectome profiling of acute febrile respiratory illness unveiled complex epidemiological dynamics postlifting of COVID-19 restrictions by Shisong Fang, Lin Zhu, Shaohui Bai, Weijian Tian, Yuanfei Pan, Shumiao Zhang, Rongjun Bi, Minqi Liang, Gengyan Luo, Xiaojing Chen, Minwu Peng, Hanlin Liu, Lu Xie, Runzi Zhang, Wudi Zhou, Shengze Zhang, Ting Xie, Haolu Zha, Chuming Luo, Xin Wang, Ying Sun, Hui Liu, Min Jiang, Weihua Wu, Xuan Zou, Yaoqing Chen, Jianhui Yuan, Ying Jiang, Nan Wu, Mang Shi, Yuelong Shu, Huanle Luo

“…Methods: Between March 2023 and February 2024, 1163 oropharyngeal swabs from AFRI patients and 338 from healthy individuals were collected in Shenzhen. Meta-transcriptomic sequencing was employed for microbial analysis. …”
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Core histone families of mollusca: systematic identification, evolutionary insights, and functional analysis by Yalin Guan, Xiaomei Chen, Xuan Zhu, Fuyun Liu, Yuanting Ma, Wentao Han, Rui Yang, Yuli Li, Lisui Bao, Shi Wang, Zhenmin Bao, Jing Wang

“…Canonical histones and their variants exhibit important functional differences in biological processes. However, little is known about the role of histone family members in molluscs, which are known for their ecological and morphological diversity. …”
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In vivo virulence of Staphylococcus aureus in native versus prosthetic left-sided valve endocarditisCentral MessagePerspective by Haytham Elgharably, MD, Jan Claesen, PhD, Naseer Sangwan, PhD, Muhammad Etiwy, MD, Penny Houghtaling, MS, Gary W. Procop, MD, MS, Nabin K. Shrestha, MD, Brian Griffin, MD, Jose L. Navia, MD, Lars G. Svensson, MD, PhD, Daniel J. Wozniak, PhD, Gosta B. Pettersson, MD, PhD

“…Results: Rates of invasive pathology were higher in prosthetic versus native valve infective endocarditis (76% vs 40%, P < .0001), which impacted the complexity of surgical procedures and perioperative course, but not in-hospital mortality. Transcriptomic analysis has shown differences in gene expression between vegetation specimens of native and prosthetic valve endocarditis, including genes for stress response, biofilm formation, and virulence factors. …”
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Development and characterization of orthotopic patient-derived xenograft models of peritoneal metastatic mucinous appendiceal adenocarcinoma by I. Ito, V.K. Pattalachinti, A.M.G. Yousef, S. Chowdhury, M.M. Fanaeian, E. Haque, B.B. Gunes, M. Yousef, E.R. Salle, M.A. Zeineddine, S. Ji, R. Li, W. Wang, B.A. Helmink, M.W. Taggart, M.G. White, K.F. Fournier, N.W. Fowlkes, J.P. Shen

“…Histological, immunohistochemical, genetic, and transcriptomic comparisons of patient and patient-derived xenograft (PDX) tumors were carried out. …”
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Electrolyte and metabolite composition of cystic fluid from a rat model of ARPKD by Christine A. Klemens, Mykhailo Fedoriuk, Marharyta Semenikhina, Mariia Stefanenko, Adrian Zietara, Vladislav Levchenko, Lashodya V. Dissanayake, Oleg Palygin, Alexander Staruschenko

“…Untargeted metabolomics combined with transcriptomic data identified tryptophan metabolism, enzyme metabolism, steroid hormone biosynthesis, and fatty acid metabolism as pathways differing between male and female PCK rats. …”
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Abrogating the adenine methylation ability of Lacticaseibacillus paracasei improves its freeze-drying and storage resistance by Hui Qiao, Mingkun You, Jiaming Yan, Meng Zhang, Kwok Lai-Yu, Wenyi Zhang

“…These differences were evident in the phosphotransferase system, carbohydrate, and amino acid metabolism, and fatty acid biosynthesis, and were consistent across transcriptomic, proteomic, and metabolomic analyses. …”
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Genetic control of differential acetylation in diabetic rats. by Pamela J Kaisaki, Georg W Otto, Joanna F McGouran, Amine Toubal, Karène Argoud, Helen Waller-Evans, Clare Finlay, Sophie Caldérari, Marie-Thérèse Bihoreau, Benedikt M Kessler, Dominique Gauguier, Richard Mott

“…We finally sequence GK and BN liver transcriptomes and find that mRNA expression of these targets does not differ significantly between GK and BN rats, in contrast to other components of the same pathways. …”
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A patient-based iPSC-derived hepatocyte model of alcohol-associated cirrhosis reveals bioenergetic insights into disease pathogenesis by Bani Mukhopadhyay, Cheryl Marietta, Pei-Hong Shen, Abdul Oiseni, Faridoddin Mirshahi, Maria Mazzu, Colin Hodgkinson, Eli Winkler, Qiaoping Yuan, Daniel Miranda, George Kunos, Arun J. Sanyal, David Goldman

“…Induced pluripotent stem cell-derived hepatocytes (iHLCs) from patients with AC and healthy controls differ transcriptomically, bioenergetically and histologically. …”
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Long-term effects of gestational nicotine exposure and food-restriction on gene expression in the striatum of adolescent rats. by Nicholas E Ilott, Tomasz Schneider, Jonathan Mill, Leonard Schalkwyk, Giovana Brolese, Lisiane Bizarro, Ian P Stolerman, Emma Dempster, Philip Asherson

“…To investigate the direct toxic effects of prenatal nicotine exposure on later brain development, we have used transcriptomic analysis of striatal samples to identify gene expression differences between adolescent Lister Hooded rats exposed to nicotine in utero and controls. …”
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Gut microbiota regulates innate anxiety through neural activity of medial prefrontal cortex in male mice by Jing Ren, Xiao-Ying Lian, Wan-Qian Ye, You-Lu Wen, Cheng-Lin Lu, Xiong Cao

“…IntroductionInnate anxiety, a stable personality trait conceptualized as trait anxiety, represents a fundamental dimension of individual differences in emotional regulation. Clinical evidence and animal studies indicate that elevated innate anxiety significantly increases susceptibility to psychiatric disorders. …”
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Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery by Caroline Truntzer, Dina Ouahbi, Titouan Huppé, David Rageot, Alis Ilie, Chloe Molimard, Françoise Beltjens, Anthony Bergeron, Angelique Vienot, Christophe Borg, Franck Monnien, Frédéric Bibeau, Valentin Derangère, François Ghiringhelli

“…Transcriptomic and genomic features revealed that the poor prognosis group was associated with a squamous phenotype. …”
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Elucidating divergent biology in uterine carcinosarcoma by Vikas Garg, Stephenie D. Prokopec, Simone C. Stone, Sara Pakbaz, Min Li Chen, Bernard Lam, Czin Czin Benito, Michelle Mcmullen, Ilinca Lungu, Samanta Del Rossi, Anthony Msan, Valerie Bowering, Valentin Sotov, Christine Tran, Marcus O. Butler, Amit M. Oza, Phedias Diamandis, Ben X. Wang, Stephanie Lheureux

“…Comparative analysis of the C and S regions revealed no significant differences in mutation frequency, CN, transcriptomic and methylomic profiles. …”
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