Transcriptomic responses of sponge holobionts to in situ, seasonal anoxia and hypoxia by Strehlow, Brian W., Schuster, Astrid, Francis, Warren R., Eckford-Soper, Lisa, Kraft, Beate, McAllen, Rob, Nielsen, Ronni, Mandrup, Susanne, Canfield, Donald E.

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Comparison of specialist ataxia centres with non-specialist services in terms of care access and organisation, health services resource utilisation and costs in Germany using patie... by Julie Vallortigara, Julie Greenfield, Barry Hunt, Holm Graessner, Carola Reinhard, Andreas Nadke, Bart-Jan Schuman, Deborah Hoffman, Steve Morris, Paola Giunti

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Detection of gene mutation in a case of Nagashima-type palmoplantar keratoderma by CAO Yuanyuan, YUAN Zhaojun, JIN Chuanyang, WANG Tianzi, LIAO Xiaojie, LIU Hong

“…[Methods] Clinical data of the patient were collected. Genomic DNA was extracted from the patient′s peripheral blood sample. …”
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The association of codon 392 polymorphism in ESR2 gene with breast cancer in Iran by Sakineh Abbasi, Samira Kalbasi

“…Epidemiological studies revealed that the pattern of age onset of breast cancer in the Middle East region differ from those in Caucasians. Therefore, genomic data for ESR2 (ER-?) is of the value in the clinical setting for that ethnic group and the aim of the current investigation is investigated whether polymorphisms in the ER-? …”
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STUDY OF Bacillus licheniformis BACTERIA AS A BIO-CONTROL AGENT IN REDUCING AFLATOXIN B1 TOXICITY IN DRIED GRAPE SAMPLES by H. Z. Hussein, E. K. Abdul-Karim, M. I. Alghannoum

“…The isolate with the highest toxin production was identified through nucleotide sequences deposited in the World Genomic Organization's Gene Bank under accession number OR192858. …”
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Genetics and biological characteristics of duck reoviruses isolated from ducks and geese in China by Xiaohong Sun, Jing Guo, Jinyan Shen, Mengdi Guan, Lili Liu, Yujiao Xie, Hongke Xu, Mengjing Wang, Anran Ren, Wenxi Li, Feng Cong, Xuyong Li

“…In this study, we identified and isolated six duck reoviruses from clinical samples of sick or deceased farmed ducks and geese and sequenced their full genomes. Phylogenetic analysis revealed the evolutionary landscape of duck reoviruses and the complex reassortment of these circulating viruses with avian orthoreovirus and Muscovy duck reovirus. …”
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ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction. by Yunyun Dong, Yuanrong Zhang, Yuhua Qian, Yiming Zhao, Ziting Yang, Xiufang Feng

“…Personalized cancer drug treatment is emerging as a frontier issue in modern medical research. Considering the genomic differences among cancer patients, determining the most effective drug treatment plan is a complex and crucial task. …”
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A biallelically active embryonic enhancer dictates GNAS imprinting through allele-specific conformations by Yorihiro Iwasaki, Monica Reyes, Harald Jüppner, Murat Bastepe

“…Abstract Genomic imprinting controls parental allele-specific gene expression via epigenetic mechanisms. …”
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Mapping naturally presented T cell antigens in medulloblastoma based on integrative multi-omics by Julia Velz, Lena K. Freudenmann, Gioele Medici, Marissa Dubbelaar, Malte Mohme, David R. Ghasemi, Jonas Scheid, Daniel J. Kowalewski, Angelica B. Patterson, Anna M. Zeitlberger, Katrin Lamszus, Manfred Westphal, Matthias Eyrich, Martina Messing-Jünger, Andreas Röhrig, Harald Reinhard, Kévin Beccaria, Rogeiro B. Craveiro, Beat M. Frey, Martin Sill, Sven Nahnsen, Marie Gauder, Konstantina Kapolou, Manuela Silginer, Tobias Weiss, Hans-Georg Wirsching, Patrick Roth, Michael Grotzer, Niklaus Krayenbühl, Oliver Bozinov, Luca Regli, Hans-Georg Rammensee, Elisabeth J. Rushing, Felix Sahm, Juliane S. Walz, Michael Weller, Marian C. Neidert

“…Despite recent advances in integrated genomics, the prognosis in children with high-risk medulloblastoma remains devastating, and new tumor-specific therapeutic approaches are needed. …”
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An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets by Adam S. L. Graefe, Miriam R. Hübner, Filip Rehburg, Steffen Sander, Sophie A. I. Klopfenstein, Samer Alkarkoukly, Ana Grönke, Annic Weyersberg, Daniel Danis, Jana Zschüntzsch, Elisabeth F. Nyoungui, Susanna Wiegand, Peter Kühnen, Peter N. Robinson, Oya Beyan, Sylvia Thun

“…This work aims to harmonise the Common Data Set by European Rare Disease Registry Infrastructure, Health Level 7 Fast Healthcare Interoperability Base Resources, and the Global Alliance for Genomics and Health Phenopacket Schema into a novel rare disease common data model (RD-CDM), laying the foundation for developing international RD-CDMs aligned with these data standards. …”
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Rapid expansion and specialization of the TAS2R bitter taste receptor family in amphibians. by Kathleen W Higgins, Akihiro Itoigawa, Yasuka Toda, Daniel Winston Bellott, Rachel Anderson, Roberto Márquez, Jing-Ke Weng

“…Here, we identify 9,291 TAS2Rs from 661 vertebrate genomes. Large-scale phylogenomic analyses reveal that frogs and salamanders contain unusually high TAS2R gene content, in stark contrast to other vertebrate lineages. …”
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Emerging technologies of single-cell multi-omics by Yi June Kim, Koichi Takahashi

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Implications of intratumoral microbiota in tumor metastasis: a special perspective of microorganisms in tumorigenesis and clinical therapeutics by Lei Zhang, Xichu Duan, Yanhua Zhao, Dejiu Zhang, Yuan Zhang

“…Intratumoral microbiota can modulate tumor progression through multiple mechanisms, including regulating immune responses, inducing genomic instability and gene mutations, altering metabolic pathways, controlling epigenetic pathways, and disrupting cancer-related signaling pathways. …”
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Genetic screening of South African families with Parkinson’s disease by S Bardien, A Braun, R van Coller, F Hassan Amod, J Carr, S Moosa

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The war inside your mind: unprotected brain battlefields and neuro-vulnerability by Robert McCreight

“… The 21st century featured explosive discoveries, inventions, and finely crafted technologies where the vaguely dangerous and ambiguous mix of genomics, neuroscience, nanotech, robotics, cyber, and other advanced scientific ventures leads to unknown and possibly unpleasant outcomes pose an acute dilemma. …”
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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

“…We present scCamAge, an advanced context-aware multimodal prediction engine that co-leverages image-based cellular spatiotemporal features at single-cell resolution alongside cellular morphometrics and aging-associated bioactivities such as genomic instability, mitochondrial dysfunction, vacuolar dynamics, reactive oxygen species levels, and epigenetic and proteasomal dysfunctions. scCamAge employed heterogeneous datasets comprising ∼1 million single yeast cells and was validated using pro-longevity drugs, genetic mutants, and stress-induced models. scCamAge also predicted a pro-longevity response in yeast cells under iterative thermal stress, confirmed using integrative omics analyses. …”
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The emerging roles of aberrant alternative splicing in glioma by Reda Ben Mrid, Sara El Guendouzi, Marco Mineo, Rachid El Fatimy

“…AS is a process that produces, from a single genomic sequence, several mature messenger RNAs. Splicing of pre-messenger RNAs concerns at least 95% of transcripts and constitutes an important mechanism in gene expression regulation. …”
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Dysbiosis and extraintestinal cancers by Ruishan He, Pingqian Qi, Linzhen Shu, Yidan Ding, Peng Zeng, Guosheng Wen, Ying Xiong, Huan Deng

“…The oncogenic cascade always engages in the disruption of hormonal regulation and inflammatory responses, the induction of genomic instability and mutations, and the dysregulation of adult stem cell proliferation. …”
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Multi-omic spatial effects on high-resolution AI-derived retinal thickness by V. E. Jackson, Y. Wu, R. Bonelli, J. P. Owen, L. W. Scott, S. Farashi, Y. Kihara, M. L. Gantner, C. Egan, K. M. Williams, B. R. E. Ansell, A. Tufail, A. Y. Lee, M. Bahlo

“…The macula is disproportionately affected by high disease burden retinal disorders such as age-related macular degeneration and diabetic retinopathy, which both involve metabolic dysregulation. Analysis of common genomic variants, metabolomic, blood and immune biomarkers, disease PheCodes and genetic scores across a fine-scale macular thickness grid, reveals multiple novel genetic loci including four on the X chromosome; retinal thinning associated with many systemic disorders including multiple sclerosis; and multiple associations to correlated metabolites that cluster spatially in the retina. …”
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Decoding vascular aging: implications for atherosclerosis progression and clinical intervention by Silumbwe Ceaser Wankumbu, Xiao-Man Ji, Ming Xu

“…In the review, we highlighted five altered vascular mechanisms in cardiovascular models: genomic instability, neurohormonal deregulation, epigenetics, protein regulation, and the gut microbiome. …”
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