I tweet, therefore I am: a systematic review on social media use and disorders of the social brain by Nancy Yang, Bernard Crespi

“…What implications do these recent changes have for socio-cognitive phenotypes and mental disorders? We have conducted a systematic review on the relationships between social media use and mental disorders involving the social brain. …”
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Natural selection and evolution: evolving concepts by Andre J. van Wijnen, Eric Lewallen

“…Evolution is an overarching framework that incorporates the laws of natural selection and clarifies why phenotypic variation can increase in prevalence and result in species adaptations. …”
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Role of metabolism, resistance, and/or antagonism as drivers of endomicrobiomes assemblage in Origanum heracleoticum L by Giulia Semenzato, Francesco Vitali, Arcangela Frascella, Ludovica Lollini, Stefano Mocali, Alessio Papini, Renato Fani, Giovanni Emiliani

“…In this study, we performed a phenotypic characterization of bacterial endophytes isolated from the medicinal plant Origanum heracleoticum, together with the determination of the antibiotic resistance profiles and the antagonistic interactions of communities within and across different plant organs. …”
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Mosaic Turner Variant Adult Female Presenting with XO/XY Karyotype by Sigin George, Vikas Karamchand Dagar, N. Nagaraja, Barun Kumar Chakrabarty

“…Patients with 45,X/46,XY mosaicism may have a phenotypic variation of the external genitalia and exhibit features ranging from normal male to ambiguous to female genitalia with features of TS. …”
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PTOV1 exerts pro-oncogenic role in colorectal cancer by modulating SQSTM1-mediated autophagic degradation of p53 by Yongli Fan, Yuqin Li, Xia Luo, Shiqi Xiang, Jia Hu, Jingchun Zhan, Weilong Chang, Rui Deng, Xianwen Ran, Yize Zhang, Yudie Cai, Weiwei Zhu, Huifen Wang, Zhibo Liu, Di Wang

“…The effects of PTOV1 on the tumor-associated phenotypes of CRC were detected by several in vitro assays and in vivo mouse models. …”
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Multi-dimensional evidence from the UK Biobank shows the impact of diet and macronutrient intake on aging by Chen Zhu, Youfa Wang, Xiaosong Yang, Qiran Zhao, Wenyan Xu, Xiaolu Wang, Yanjun Liang, Qihui Chen, Shenggen Fan

“…Plant-based food consumption correlates with increased telomere length and reduced phenotypic age, while animal-based food intake is linked to adverse aging effects. …”
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Chemogenomics for steroid hormone receptors (NR3) by Espen Schallmayer, Laura Isigkeit, Lewis Elson, Susanne Müller, Stefan Knapp, Julian A. Marschner, Daniel Merk

“…Endoplasmic reticulum stress resolving effects of N3 CG subsets in proof-of-concept application validate suitability of the set to connect phenotypic outcomes with targets and to explore NR3 receptors from a translational perspective.…”
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Missed rifampicin and isoniazid resistance by commercial molecular assays by L Richards, F Ismail, J Nel, S V Omar

“…We present a case of occult multidrug-resistant TB where both rifampicin and isoniazid resistance were missed by molecular testing and were only identified by phenotypic testing. …”
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Three-dimensional Feature Tracking Cardiac Magnetic Resonance in Hypertrophic Cardiomyopathy: Comparison with Two-Dimensional Algorithm by Tomoaia Raluca, Lwin May, Soo Chin Yit, Anderton Thomas, Kamani Christel, Javed Wasim, Wahab Ali, Plein Sven

“…The aims of this study were to: 1) determine whether 2D and 3D feature tracking cardiac magnetic resonance (FT-CMR) are equivalent in patients with hypertrophic cardiomyopathy (HCM), 2) compare 3D FT-CMR values in HCM and healthy volunteers and 3) compare FT-CMR in most frequent HCM phenotypes.…”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…The Iberian pig breed, known for its high-quality meat products, includes various strains with recognized genetic and phenotypic variability. However, despite the microbiome’s known impact on pigs’ productive phenotypes such as meat quality traits, comparative analyses of gut microbial composition across Iberian pig strains are lacking. …”
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Genome-wide association study reveals major loci for resistance to septoria tritici blotch in a Tunisian durum wheat collection. by Maroua Ouaja, Bikash Ghimire, Bochra Amina Bahri, Medini Maher, Sahbi Ferjaoui, Sripada Udupa, Sonia Hamza

“…Using 7638 SNP markers, fifty-one marker-trait associations (MTAs) for STB resistance were identified by genome-wide association study (GWAS) at Bonferroni correction threshold of -log10(P) > 5.184 with phenotypic variance explained (PVE) reaching up to 58%. …”
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Uncovering the genetic basis of milk production traits in Mexican Holstein cattle based on individual markers and genomic windows. by José G Cortes-Hernández, Adriana García-Ruiz, Francisco Peñagaricano, Hugo H Montaldo, Felipe J Ruiz-López

“…A total of 162 markers were significantly associated (p<0.01) with the phenotypic traits evaluated, and the SNP markers were distributed across chromosomes 1, 3, 5, 6, 10, 12, 14, 16, 18, 20, 22, and 29. …”
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A user-friendly software to accurately count and measure cysts from the parasitic nematode Heterodera glycines by Joffrey Mejias, Djampa K. L. Kozlowski, Jackson Goshon, Thomas R. Maier, Thomas J. Baum

“…These methods depend on extensive phenotypic screening. The primary phenotypic measure for assessing SCN resistance is often the number of cysts that form on a plant’s root system. …”
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Plastic responses for intercrop functioning by Franca J. Bongers, Jochem B. Evers, Niels P. R. Anten

“…Abstract Intercropping systems have large heterogeneity in canopy and soil conditions, which could induce phenotypic plasticity. We review different kinds of observed plasticity and to what extent these influence crop performance and outline the diversity of signals that could occur in intercrops. …”
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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients by Nuttinan Nalinthasnai, Ratchainant Thammasudjarit, Tanapat Tassaneyasin, Dararat Eksombatchai, Somnuek Sungkanuparph, Viboon Boonsarngsuk, Yuda Sutherasan, Detajin Junhasavasdikul, Pongdhep Theerawit, Tananchai Petnak

“…Abstract Background Identification of distinct clinical phenotypes of diseases can guide personalized treatment. …”
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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

“…This paper employs a pairwise associative encoder (PAE) to construct edges, calculating similarity scores between different nodes to effectively handle the complementary relationship between phenotypic and non-phenotypic data. The other part is the weight network, which calculates the weights of different nodes of different classes to assign weights to the objective function through the GCN model. …”
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Evaluation of 3D seed structure and cellular traits in-situ using X-ray microscopy by Marcus Griffiths, Barsanti Gautam, Clara Lebow, Keith Duncan, Xinxin Ding, Pubudu Handakumbura, John C. Sedbrook, Christopher N. Topp

“…Abstract Phenotyping methods for seed morphology are mostly limited to two-dimensional imaging or manual measures. …”
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Heterologous expression of SpsTAC2 in Arabidopsis affected branch angle and secondary vascular system development by Fangshu Niu, Mengru Yuan, Hongxia Zhao, Zhi Pang, Jie Yan, RuiXie Ning, Lin Shi, Fengqiang Yu, Dongshan Wei, Rong Yang, Runming Zhang, Haifeng Yang

“…The SpsTAC2 gene was overexpressed in Arabidopsis and analyzed for phenotypic changes. The subcellular localization of SpsTAC2 was analyzed via Agrobacterium-mediated transient expression in onion (Allium cepa L.) epidermal cells. …”
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Simple Imaging Techniques for Plant Growth Assessment by Shinsuke Agehara

“… Quantification of plant phenotypic traits, such as height, width, stem diameter, and leaf area, is often performed manually in the field; however, these measurements can be performed more quickly and precisely through simple imaging techniques using an image processing program. …”
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An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

“…This assay format provides unbiased analysis of morphological effects induced by small molecules by capturing phenotypic readouts of most known classes of pharmacological agents and has the potential to read out pathways for which little is known. …”
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