Emerin deficiency drives MCF7 cells to an invasive phenotype by Emily Hansen, Christal Rolling, Matthew Wang, James M. Holaska

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Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers by Ida Larsson, Felix Held, Gergana Popova, Alper Koc, Soumi Kundu, Rebecka Jörnsten, Sven Nelander

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Platelet phenotypes and practical aspects of platelet function testing in cardiology by Zh. D. Kobalava, A. S. Pisaryuk, A. A. Filkova, E. S. Tukhsanboev, A. A. Boldyreva, D. P. Lazutova, I. A. Meray, M. A. Panteleev

“….), and acquired (symptomatic) platelet disorders (in hemoblastoses, uremia, liver cirrhosis, etc.), as well as to predict the risk of intraoperative bleeding in these groups of patients. …”
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Single-cell data combined with phenotypes improves variant interpretation by Timothy Chapman, Timo Lassmann

“…We constructed a total of 1,866 Random Forest models for individual HPO terms, incorporating both bulk and single cell expression data. Results Our phenotype-specific models utilising expression data can better predict pathogenic variants in 90% of the phenotypes (HPO terms) considered. …”
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High-throughput phenotyping in grapevine breeding research: technologies and applications by Katja Herzog, Anna Kicherer, Nagarjun Malagol, Oliver Trapp, Reinhard Töpfer

“…Furthermore, the collection of large phenotypic data sets and their linkage with environmental or genomic data will provide new or extended insights into the response of grapevines to biotic and abiotic stresses and will significantly support the evaluation of traits, identification of new QTLs, or implementation of breeding strategies like genomic prediction. …”
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Serologic and molecular biology analysis of a rare Pk phenotype by GAO Huanhuan, ZHANG Na, GENG Wei, KONG Fansheng

“…[Objective] To analyze the serological characteristics and molecular biology results for a Pk phenotype. [Methods] One patient with Pk phenotype upon unexpected antibodies at Jining Blood Center in July 2022 was selected as the study subject. …”
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Genotypic, functional, and phenotypic characterization in CTNNB1 neurodevelopmental syndrome by Nina Žakelj, David Gosar, Špela Miroševič, Stephan J. Sanders, Alicia Ljungdahl, Sayeh Kohani, Shouhe Huang, Lok I Leong, Ying An, Miou-Jing Teo, Fiona Moultrie, Roman Jerala, Duško Lainšček, Vida Forstnerič, Petra Sušjan, Leszek Lisowski, Andrea Perez-Iturralde, Jasna Oražem Mrak, Ho Yin Edwin Chan, Damjan Osredkar

“…This study aimed to characterize genetic variants in individuals with CTNNB1 neurodevelopmental syndrome, systematically assess the spectrum of clinical phenotypes using standardized measures, and explore potential genotype-phenotype correlations. …”
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Phenotype microarray-based assessment of metabolic variability in plant protoplasts by Alice Checcucci, Francesca Decorosi, Giulia Alfreducci, Roberto Natale, Agnese Bellabarba, Stefano Biricolti, Donatella Paffetti, Alessio Mengoni, Carlo Viti

“…While plant phenotyping provides information at the whole organism level, cellular level phenotyping is crucial for identifying and dissecting the metabolic basis of different phenotypes and the effect of metabolic-related genetic modifications. …”
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Histamine N-methyltransferase (HNMT) as a potential auxiliary biomarker for predicting adaptability to anti-HER2 drug treatment in breast cancer patients by Tzu-Chun Cheng, Mien-Chie Hung, Lu-Hai Wang, Shih-Hsin Tu, Chih-Hsiung Wu, Yun Yen, Chi-Long Chen, Jacqueline Whang-Peng, Wen-Jui Lee, You-Cheng Liao, Yu-Ching Lee, Min-Hsiung Pan, Hui-Kuan Lin, Huey-En Tzeng, Peixuan Guo, Cheng-Ying Chu, Li-Ching Chen, Yuan-Soon Ho

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φ-evo: A program to evolve phenotypic models of biological networks. by Adrien Henry, Mathieu Hemery, Paul François

“…Second, we use the problem of hox-like embryonic patterning to show how a single effective fitness can emerge from multi-objective (Pareto) evolution. φ-evo provides an efficient approach and user-friendly interface for the phenotypic prediction of networks and the numerical study of evolution itself.…”
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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…The primary outcome will be the development of machine-learning algorithms to predict depression and anxiety based on these digital biomarkers. …”
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Analysis of vascular aging phenotypes in a high cardiovascular risk population by Dmitrii Usoltsev, Ekaterina Moguchaya, Maria Boyarinova, Ekaterina Kolesova, Anastasia Erina, Kristina Tolkunova, Nadezhda Paskar, Asiiat Alieva, Elena Vasilyeva, Sofia Kibkalo, Anna Kostareva, Alexandra Konradi, Evgeny Shlyakhto, Oxana Rotar, Mykyta Artomov

“…Moreover, the association between elevated cfPWV and increased overall mortality suggests a potential selection pressure on vascular aging phenotypes. These insights advance the development of predictive biomarkers for cardiovascular risk in populations with high rates of cardiovascular disease.…”
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A Differentiated Approach to the Assessment of Biomarkers Depending on the Phenotype of Heart Failure by Nadiia M. Kulaiets

“…NT-proBNP/ST2 and NT-proBNP/BNP ratios have high prognostic value in HFrEF, whereas BNP and Galectin-3 are more predictive in HFmrEF and HFpEF. These findings highlight the importance of phenotype-specific biomarker assessment for personalized HF management.…”
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Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease by Arnau Puig‐Davi, Carla Franch‐Marti, Iñigo Ruiz‐Barrio, Frederic Sampedro, Jesus Perez‐Perez, Jordi A. Matias‐Guiu, Fernando Cuetos, Gonzalo Olmedo‐Saura, Laura Perez‐Carasol, Andrea Horta‐Barba, Ignacio Aracil‐Bolaños, Javier Pagonabarraga, Jaime Kulisevsky, Saul Martinez‐Horta

“…Multivariate regression analyses were used to explore the predictive ability of the language components on GMV and CTh loss. …”
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Heterogeneous efflux pump expression underpins phenotypic resistance to antimicrobial peptides by Ka Kiu Lee, Urszula Łapińska, Giulia Tolle, Maureen Micaletto, Bing Zhang, Wanida Phetsang, Anthony D Verderosa, Brandon M Invergo, Joseph Westley, Attila Bebes, Raif Yuecel, Paul A O'Neill, Audrey Farbos, Aaron R Jeffries, Stineke van Houte, Pierluigi Caboni, Mark AT Blaskovich, Benjamin E Housden, Krasimira Tsaneva-Atanasova, Stefano Pagliara

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Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia by Huiling Guo, Yao Xiao, Shuai Dong, Jingyu Yang, Pengfei Zhao, Tongtong Zhao, Aoling Cai, Lili Tang, Juan Liu, Hui Wang, Ruifang Hua, Rongxun Liu, Yange Wei, Dandan Sun, Zhongchun Liu, Mingrui Xia, Yong He, Yankun Wu, Tianmei Si, Fay Y. Womer, Fuqiang Xu, Yanqing Tang, Jie Wang, Weixiong Zhang, Xizhe Zhang, Fei Wang

“…Abstract Background Intermediate phenotypes, such as characteristic neuroimaging patterns, offer unique insights into the genetic and stress-related underpinnings of neuropsychiatric disorders like depression. …”
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Bicuspid Aortic Valve: Morphology, Clinic, Diagnosis, Complications by Y. L. Trysvetava

“…Researchers are discussing the relationship between the phenotype of the bicuspid aortic valve and aortopathy to predict the course of the disease and select the optimal surgical treatment technique. …”
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Deep learning-based text generation for plant phenotyping and precision agriculture by Li Zhu, Long Tang, Shan Ren, Shan Ren

“…A hybrid generative model is used to capture complex spatial and temporal phenotypic patterns. A biologically-constrained optimization strategy is employed to improve both prediction accuracy and interpretability. …”
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Analysis of the clinicopathological characteristics, genetic phenotypes, and prognostic of pure mucinous adenocarcinoma by Zhencong Chen, Ming Li, Ke Ma, Guoguo Shang, Jiaqi Liang, Jiacheng Yin, Jizhuang Luo, Cheng Zhan, Yu Shi, Qun Wang

“…Conclusions Our research identified unique clinicopathological characteristics and genetic phenotypes for PMA and other LUAD. The nomogram accurately predicted OS.…”
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Latent cluster analysis of ALS phenotypes identifies prognostically differing groups. by Jeban Ganesalingam, Daniel Stahl, Lokesh Wijesekera, Clare Galtrey, Christopher E Shaw, P Nigel Leigh, Ammar Al-Chalabi

“…<h4>Conclusion</h4>The five phenotypic classes identified using latent cluster analysis can predict prognosis. …”
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