Dissection of the genetic loci for grain hardness and variation of the key genes in common wheat (Triticum aestivum L.) by Jinna Hou, Pengge Sun, Pei Yan, Shenghui Geng, Wenxu Li, Maomao Qin, Ziju Dai, Baoming Tian, Zhengqing Wu, Zhengfu Zhou, Changwen Li, Zhensheng Lei

“…Finally, eight QTL, which explained 8.29 % – 14.59 % of the phenotypic variation, were revealed on chromosomes 1 A, 1B, 3 A, 3B, 5 A, 5B and 5D (2). …”
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The role of inflammatory system genes in individual differences in nonverbal intelligence by R. F. Enikeeva, A. V. Kazantseva, Yu. D. Davydova, R. N. Mustafin, Z. R. Takhirova, S. B. Malykh, Y. V. Kovas, E. K. Khusnutdinova

“…As a result of a statistical analysis, rs1041981 and rs1800629 in the tumor necrosis factor gene (TNF) were shown to be associated with a phenotypic variance in nonverbal intelligence at the haplotype level (for АА-haplotype: βST = 1.19; p = 0.033; pperm = 0.047) in carriers of the “risky” APOE ε4 allele. …”
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Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling by Vera Fortmeier, MD, Mark Lachmann, MD, Lukas Stolz, MD, Jennifer von Stein, MD, Karl-Philipp Rommel, MD, Mohammad Kassar, MD, Muhammed Gerçek, MD, Anne R. Schöber, MD, Thomas J. Stocker, MD, Hazem Omran, MD, Michelle Fett, Jule Tervooren, Maria I. Körber, MD, Amelie Hesse, Gerhard Harmsen, PhD, Kai Peter Friedrichs, MD, Shinsuke Yuasa, MD, PhD, Tanja K. Rudolph, MD, Michael Joner, MD, Roman Pfister, MD, Stephan Baldus, MD, Karl-Ludwig Laugwitz, MD, Stephan Windecker, MD, Fabien Praz, MD, Philipp Lurz, MD, Jörg Hausleiter, MD, Volker Rudolph, MD

“…The prognostic value of risk phenotypes was confirmed by external validation. Conclusions: This simple survival tree-based model effectively stratifies patients with severe TR into distinct risk categories, demonstrating significant differences in 2-year survival after TTVI.…”
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Exploring the genotypic potential of perilla (Perilla frutescens L.) for climate-resilient agriculture in the North Eastern Himalayas by Meraj Alam Ansari, Meraj Alam Ansari, Amit Kumar, T. P. Ahammed Shabeer, Alok Kumar, Subhra Saikat Roy, Subhra Saikat Roy, Majhrool Hak Ansari, Raghavendra Singh, Raghavendra Singh, Moirangthem Sangeeta, Jayanta Layek, Narendra Prakash, Vinay K. Mishra

“…To dissect the genetic basis, we evaluated 28 diverse genotypes of perilla across three growing seasons for eight agronomic traits and 16 biochemical traits, which revealed substantial phenotypic and biochemical variation. Agronomic traits displayed significant variability, with seed yield showing the highest coefficient of variation (CV), while leaf length showed the lowest CV. …”
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Case report: Novel ACTN4 variant of uncertain significance in a pediatric case of steroid-resistant nephrotic syndrome requesting kidney transplantation by Ignacio Alarcón, Carolina Peralta, Francisco Cammarata-Scalisi, Maykol Araya Castillo, Francisco Cano, Francisco Cano, Angélica Rojo, María Luisa Ceballos, María Luisa Ceballos, Paola Krall, Paola Krall

“…At 14 years old, he received a deceased donor kidney allograft without recurrence during the subsequent 5 months.ConclusionsIdentifying VUS is a recurring challenge in routine clinical genetics, particularly for patients with rare diseases or atypical phenotypes in underrepresented populations. This case underscores the benefit of timely genetic diagnosis taking into account the patient’s request. …”
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Identifying health risk determinants and molecular targets in patients with idiopathic pulmonary fibrosis via combined differential and weighted gene co-expression analysis by Abu Tayab Moin, Md. Asad Ullah, Jannatul Ferdous Nipa, Mohammad Sheikh Farider Rahman, Afsana Emran, Md. Minhazul Islam, Swapnil Das, Tawsif Al Arian, Mohammad Mahfuz Enam Elahi, Mukta Akter, Umme Sadea Rahman, Arnab Halder, Shoaib Saikat, Mohammad Jakir Hosen

“…Co-expression analysis revealed DEG modules correlated with varying IPF severity phenotypes. Machine learning analysis pinpointed a subset of genes with high discriminatory power between IPF and healthy individuals. …”
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Lower respiratory tract microbiome dysbiosis impairs clinical responses to immune checkpoint blockade in advanced non‐small‐cell lung cancer by Yong Zhang, Xiang‐Xiang Chen, Ruo Chen, Ling Li, Qing Ju, Dan Qiu, Yuan Wang, Peng‐Yu Jing, Ning Chang, Min Wang, Jian Zhang, Zhi‐Nan Chen, Ke Wang

“…Microbiome‐derived metabolites reshaped the immune microenvironment in the lower respiratory tract by releasing inflammatory cytokines and chemokines, which was partially achieved by metabolite‐mediated tumoral inflammatory products and reduction of CD8+ effective T cells and M1 phenotypes macrophages in malignant lesions. Conclusions This study provided a microecological landscape of the lower respiratory tract with advanced NSCLC to ICI interventions and presented a multidimensional perspective with favoured outcomes that may improve the predictive capacity of the localized microbiome in clinical practices. …”
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Cell Counts, rather than Proportion, of CD8/PD-1 Tumor-Infiltrating Lymphocytes in a Tumor Microenvironment Associated with Pathological Characteristics of Chinese Invasive Ductal... by Qingkun Song, Feng Shi, Maya Adair, Hong Chang, Xiudong Guan, Yanjie Zhao, Yuchen Li, Guangjiang Wu, Jiangping Wu

“…The expression of CK7, CK20, or Ki-67 was not related with the proportion of phenotypes of CD8/PD-1 TILs. Younger patients had more cell counts of CD8+/PD-1- TILs than elderly patients (18/HPF vs. 9/HPF, p<0.05). …”
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Targeting and editing the second exon of bmp6 gene results in a silver carp with reduced intramuscular bones by Shuang Niu, Xiaohui Li, Cui Feng, Zewen Zhang, Hang Sha, Xiangzhong Luo, Guiwei Zou, Hongwei Liang

“…Both two types of chimeras are capable of normal growth and development; nonetheless, their IBs exhibit distinct defective phenotypes. Specifically, both CH-E2 and CH-E4 groups exhibit bending of the IBs; however, 30 % of the samples in the CH-E2 group showed a reduction in IBs, which is not observed in the CH-E4 group. …”
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Deciphering the role of IL17RA in psoriasis and chronic mucocutaneous candidiasis: shared pathways and distinct manifestations by Ayat Kadhi, Ayat Kadhi, Ayat Kadhi, Edward Eid, Michel J. Massaad, Inaam El-Rassy, Dana Maria Khoury, Yutaka Shimomura, Nelly Rubeiz, Mazen Kurban, Mazen Kurban, Mazen Kurban, Georges Nemer, Georges Nemer

“…Consequently, the immunogenetic foundations underlying these conditions have remained enigmatic.MethodsIn this study, we analyzed the case of a 5-year-old female born to consanguineous parents who presented with concomitant psoriasis and CMC phenotypes. Utilizing whole exome and transcriptomic sequencing, we meticulously investigated the genetic underpinnings and molecular pathways underlying these complex pathologies. …”
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A novel approach to digital characterisation of Tertiary Lymphoid Structures in colorectal cancer by Luis Munoz-Erazo, Luis Munoz-Erazo, Saem Mul Park, Saem Mul Park, Shelly Lin, Shelly Lin, Chun-Jen J. Chen, Chun-Jen J. Chen, Lisa Y. Y. Zhou, Lisa Y. Y. Zhou, Janet L. Rhodes, Janet L. Rhodes, Taesung Jeon, Sonya Fenton, John L. McCall, Roslyn A. Kemp, Roslyn A. Kemp, P. Rod Dunbar, P. Rod Dunbar

“…We quantified proliferation of B-cells and T-cell subsets within TLS domains across entire sections and compared data to the canonical approach of counting and phenotyping individual TLS domains. The whole-slide approach proved simpler, generating digital summaries that readily identified patients with strikingly different levels of immune activity within their TLS. …”
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Comprehensive analysis of metabolomics and transcriptomics reveals varied tepal pigmentation across Gloriosa varieties by Yue Sun, Pinli Hu, Yanan Jiang, Zhenzhen Wang, Jiaxing Chang, Yiwei Zhou, Haojing Shao

“…In this study, we employed sophisticated colorimetry, Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS), and transcriptome sequencing to investigate the phenotypic expression of tepal colors, the composition of carotenoids and anthocyanins, and the differential gene expression in four Gloriosa varieties during their full bloom phase. …”
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Identification and management of a novel Danshen leaf anthracnose caused by Colletotrichum karstii in Salvia miltiorrhiza Bunge in China by Haoyue Ma, Haoyue Ma, Liguo Huang, Lulu Guo, Lulu Guo, Shan Chen, Jiale Liu, Changyun Liu, Yanxia Dou, Xianchao Sun, Lin He, Guanhua Ma

“…The optimum temperature for the growth of C.karstii is 25°C, the suitable light conditions are 12h light/12h dark or 24h dark, and the suitable pH is 5 to 9. Utilizing BIOLOG phenotypic analysis technique, the metabolic utilization of carbon and nitrogen sources by the pathogen was assessed across different temperatures (20°C, 25°C, and 30°C). …”
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CD44-Receptors-Mediated Multiprong Targeting Strategy Against Breast Cancer and Tumor-Associated Macrophages: Design, Optimization, Characterization, and Cytologic Evaluation by Hussain Z, Abdulrahim Abdul Moti L, Jagal J, Thu HE, Khan S, Kazi M

“…In this research, we aimed to design a multiprong targeting strategy for concurrent action against different phenotypes of BC (MCF-7 and SK-BR-3) and tumor-associated macrophages (TAMs) for relapse-free treatment of BC.Methods: Paclitaxel (PTX) and tamoxifen (TMX) co-loaded chitosan (CS) nanoparticles (NPs) were prepared using the ionic-gelation method and optimized using the Design Expert® software by controlling different material attributes. …”
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Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions by Fernanda Carla Ferreira de Pontes, Ingrid Pinheiro Machado, Maria Valnice de Souza Silveira, Antônio Lucas Aguiar Lobo, Felipe Sabadin, Roberto Fritsche-Neto, Júlio César DoVale

“…Genome-wide Association Studies (GWAS) identify genome variations related to specific phenotypes using Single Nucleotide Polymorphism (SNP) markers. …”
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THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS by T. V. Ivanisenko, O. V. Saik, P. S. Demenkov, V. K. Khlestkin, E. K. Khlestkina, N A. Kolchanov, V. А. Ivanisenko

“…The ontology of the SOLANUM TUBEROSUM knowledge base contains dictionaries of molecular genetic objects (proteins, genes, metabolites, microRNAs, biomarkers); phenotypic characteristics of potato varieties; potato diseases and pests; biotic/abiotic environmental factors; potato agrobiotechnologies. …”
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Protective Effects of NaHS/miR-133a-3p on Lipopolysaccharide-Induced Cardiomyocytes Injury by Yi-Mei Jin, Ai-Rong Huang, Mei-qian Yu, Wan-Ding Ye, Xiao-guang Hu, Hua-min Wang, Zhi-wei Xu, Dong-shi Liang

“…H9c2 cardiomyocytes cultivated with medium containing 10 μg/mL LPS were used to recapitulate the phenotypes of those in sepsis. Two sequential experiments were performed. …”
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Strawberry dietary intervention influences diversity and increases abundances of SCFA-producing bacteria in healthy elderly people by Franziska Meiners, Bernd Kreikemeyer, Patrick Newels, Ingmar Zude, Michael Walter, Alexander Hartmann, Daniel Palmer, Georg Fuellen, Israel Barrantes

“…Participants in five groups consumed varying amounts of strawberries, freeze-dried strawberries, and capers in olive oil over 10 weeks as part of a randomized controlled trial. 16S rRNA sequencing was used to analyze differences in microbial composition, diversity, phenotypes, differential abundance, and functional pathways. …”
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Characterization of Enterobacterales growing on selective CPE screening plates with a focus on non-carbapenemase-producing strains by Reut Efrati Epchtien, Elizabeth Temkin, Mor N. Lurie-Weinberger, Ophir Kastel, Alona Keren-Paz, David Schwartz, Yehuda Carmeli

“…Fourier-transform infrared spectroscopy (FTIR) was used to analyze phenotypic similarity, and whole genome sequencing was conducted on a subset of non-CPE isolates. …”
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Rumen DNA virome and its relationship with feed efficiency in dairy cows by Xiaohan Liu, Yifan Tang, Hongyi Chen, Jian-Xin Liu, Hui-Zeng Sun

“…Two pathways were proposed to explain how rumen viruses might modulate FE: (1) Lytic viruses could lyse beneficial host bacteria linked to favorable cattle phenotypes, such as vOTU1836 targeting Ruminococcaceae, resulting in diminished organic acid production and consequently lower FE; (2) AMG-mediated host metabolism modulation, exemplified by GT2 carried by vOTU0897, which may enhance Lachnospiraceae fermentation capacity, increasing organic acid production and thereby improving FE. …”
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