Deficiency of ATF3 facilitates both angiotensin II‐induced and spontaneously formed aortic aneurysm and dissection development by activating cGAS–STING pathway by Yifan Du, Poyi Hu, Xiangchao Ding, Dashuai Wang, Jingjing Luo, Sheng Le, Lingyun Ren, Manhua Chen, Ping Ye, Jiahong Xia

“…However, the molecular mechanisms responsible for the phenotypic switch and loss of VSMCs in AAD are not fully understood. …”
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Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery by Tyler J. Loftus, MD, Matthew M. Ruppert, MS, Benjamin Shickel, PhD, Tezcan Ozrazgat-Baslanti, PhD, Jeremy A. Balch, MD, Kenneth L. Abbott, MD, Die Hu, MS, Adnan Javed, MD, Firas Madbak, MD, Faheem Guirgis, MD, David Skarupa, MD, Philip A. Efron, MD, Patrick J. Tighe, MD, William R. Hogan, MD, Parisa Rashidi, PhD, Gilbert R. Upchurch, Jr, MD, Azra Bihorac, MD

“…K-means clustering identified sociodemographic phenotypes within overtriage and undertriage cohorts. …”
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Escherichia Coli: From Genome Sequences to Consequence by Mark Pallen

“…Professor Pallen's lecture, entitled 'Escherichia coli: From genome sequences to consequences', provides a summary of the important discoveries of his team of research scientists in the area of genetic sequencing and variations in phenotypic expression.…”
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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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Small pieces make the big picture: the etiology of the relationship between executive functions and personality traits by Željka Nikolašević, Snežana Smederevac, Dušanka Mitrović, Petar Čolović, Bojana Dinić, Jasmina Kodžopeljić, Mechthild Prinz, Zoran Budimlija, Vojislava Bugarski Ignjatović

“…Abstract Background This study primarily aimed to explore the etiology of the phenotypic relationships between personality traits and executive functions. …”
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Genomic Landscape Reveals Chromosomally-Mediated Antimicrobial Resistome and Virulome of a High-Risk International Clone II Acinetobacter baumannii AB073 from Thailand by Rattiya Cheewapat, Jadsadaporn Redkimned, Sirikran Lekuthai, Thawatchai Kitti, Kannipa Tasanapak, Aunchalee Thanwisai, Sutthirat Sitthisak, Thanet Sornda, Hathaichanok Impheng, Sudarat Onsurathum, Udomluk Leungtongkam, Supaporn Lamlertthon, Siriwat Kucharoenphaibul, Jintana Wongwigkarn, Pantira Singkum, Pattrarat Chanchaithong, Rapee Thummeepak

“…This study utilized integrative bioinformatics’ tools together with phenotypic assays to understand the whole-genome features of a carbapenem-resistant international clone II Acinetobacter baumannii AB073. …”
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Genome-wide association scan and candidate gene analysis for seed coat color in sesame (Sesamum indicum L.) by Mohammed Elsafy, Wafa Badawi, Ahmed Ibrahim, Elamin Hafiz Baillo, Prabin Bajgain, Tilal Sayed Abdelhalim, Mahbubjon Rahmatov

“…IntroductionSeed coat color in sesame is a crucial trait for breeding programs as it is closely associated with important characteristics such as oil content, protein levels, and disease resistance, which directly influence seed quality and market value.MethodsThis study investigates the genetic basis of seed coat color in 200 Sudanese sesame genotypes grown for two consecutive years through comprehensive phenotyping, genomic diversity analysis, genome-wide association studies (GWAS), and candidate gene discovery.Results and discussionPhenotypic analysis across two growing seasons revealed high heritability and significant correlations among color parameters (L*, a*, and b*), indicating strong genetic control over seed coat color. …”
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Dynamic co-evolution of transposable elements and the piRNA pathway in African cichlid fishes by Miguel Vasconcelos Almeida, Moritz Blumer, Chengwei Ulrika Yuan, Pío Sierra, Jonathan L. Price, Fu Xiang Quah, Aleksandr Friman, Alexandra Dallaire, Grégoire Vernaz, Audrey L. K. Putman, Alan M. Smith, Domino A. Joyce, Falk Butter, Astrid D. Haase, Richard Durbin, M. Emília Santos, Eric A. Miska

“…Abstract Background East African cichlid fishes have diversified in an explosive fashion, but the (epi)genetic basis of the phenotypic diversity of these fishes remains largely unknown. …”
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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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Characteristics Defining Broccoli Cultivars from Different Seed Producers by Elena Ordiales, Domingo J. Iglesias, María Victoria Alarcón, Lorena Zajara, Jesús Gil, Juan Ignacio Gutiérrez, Julio Salguero

“…Additionally, correlations between the scores of those components and the values of the phenotypic parameters suggested that head weights are main determinants of the phenotypic differences observed among the cultivars whereas the presence of internal leaves and granulometry and head weight appear to be key traits defining nurseries.…”
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NLRP3 Is Expressed in the Spiral Ganglion Neurons and Associated with Both Syndromic and Nonsyndromic Sensorineural Deafness by Penghui Chen, Longxia He, Xiuhong Pang, Xiaowen Wang, Tao Yang, Hao Wu

“…Nonsyndromic deafness is genetically heterogeneous but phenotypically similar among many cases. Though a variety of targeted next-generation sequencing (NGS) panels has been recently developed to facilitate genetic screening of nonsyndromic deafness, some syndromic deafness genes outside the panels may lead to clinical phenotypes similar to nonsyndromic deafness. …”
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Electroencephalographic and Epilepsy Findings in ZNF711 Variants: A Case Series of Two Siblings by Michele Minerva, Lorenzo Perilli, Samanta Carbone, Margherita Maria Rossi, Federica Lotti, Luisa Lonoce, Maria Rosaria Curcio, Salvatore Grosso

“…Moreover, it emphasizes the need for further research into the phenotypic spectrum associated with this variant.…”
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Isolation and Identification of Methicillin-Resistant Staphylococcus aureus (MRSA) from Milk in Shire Dairy Farms, Tigray, Ethiopia by Weldemelak Girmay, Getachew Gugsa, Habtamu Taddele, Yisehak Tsegaye, Nesibu Awol, Meselu Ahmed, Aklilu Feleke

“…PCR amplification of the seven phenotypically MRSA isolates revealed that 42.9% and 71.4% of them were found to carry fem A and mec A genes, respectively. …”
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Mapping QTL for Root and Shoot Morphological Traits in a Durum Wheat × T. dicoccum Segregating Population at Seedling Stage by Anna Iannucci, Daniela Marone, Maria Anna Russo, Pasquale De Vita, Vito Miullo, Pina Ferragonio, Antonio Blanco, Agata Gadaleta, Anna Maria Mastrangelo

“…Due to the complexity of phenotyping for root traits, further studies will be helpful to validate these regions as targets for breeding programs for optimization of root function for field performance.…”
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Molecular Crosstalking among Noncoding RNAs: A New Network Layer of Genome Regulation in Cancer by Marco Ragusa, Cristina Barbagallo, Duilia Brex, Angela Caponnetto, Matilde Cirnigliaro, Rosalia Battaglia, Davide Barbagallo, Cinzia Di Pietro, Michele Purrello

“…Over the past few years, noncoding RNAs (ncRNAs) have been extensively studied because of the significant biological roles that they play in regulation of cellular mechanisms. ncRNAs are associated to higher eukaryotes complexity; accordingly, their dysfunction results in pathological phenotypes, including cancer. To date, most research efforts have been mainly focused on how ncRNAs could modulate the expression of protein-coding genes in pathological phenotypes. …”
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Genotypic Variability and Correlation Studies in Pod and Seed Characteristics of Pongamia pinnata (L.) Pierre in Orissa, India by Deebe Prasad Sahoo, Gyana Ranjan Rout, Swarnalata Das, Subhashree Aparajita, A. K. Mahapatra

“…All the CPTs showed significant variation among themselves in respect to their pod and seed characters. Phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) estimates were high for pod thickness, seed thickness, 100-pod weight, and 100-seed weight. …”
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Crohn's Disease Defined in Three Elderly Disters by Hugh J Freeman

“…The present report documents the unusual occurrence of very late phenotypical expression of familial ileocolic Crohn's disease. …”
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KYNU as a Biomarker of Tumor-Associated Macrophages and Correlates with Immunosuppressive Microenvironment and Poor Prognosis in Gastric Cancer by Kaiyu Shen, Binyu Chen, Liu Yang, Wencang Gao

“…Clinical features and survival analysis indicated that high KYNU expression was associated with poor clinical phenotypes and prognosis, whereas Cox analysis showed that KYNU was an independent risk factor for patients with GC. …”
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Study on genetics of yield component traits under salt stress in two rice crosses raised using honeycomb selection design by C. Yoglakshmi, Rajan Isha Pearl, V. Vengadessan, J. Karthick and S. Thirumeni*

“…For the agronomically important traits, precise phenotyping of crop plants is essential under stress where soil heterogeneity is aggravated for genetic analysis and developing improved crop varieties. …”
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Genetic variability and association analyses of morphological and biochemical traits in Tamarindus indica L. clones by A. Mayavel1*, J. Padmanaban2, A. Nicodemus1, B. Nagarajan1, C. Bagathsingh1, M. Akshayasri1, G. Radha Krishnan 1 and M. Amaravel1

“…Analysis of variance revealed significant variation among clones for the morphological and biochemical characters. High phenotypic and genotypic coefficients of variation were observed for the parameters like annual yield per tree, fruit weight, pulp weight, seed weight, shell weight, vein weight, number of seeds per fruit, fruit length, fruit thickness, fruit width and total sugar content. …”
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