Altered brain functional network connectivity and topology in type 2 diabetes mellitus by Weiwei Ni, Weiyin Vivian Liu, Mingrui Li, Shouchao Wei, Xuanzi Xu, Shutong Huang, Lanhui Zhu, Jieru Wang, Fengling Wen, Hailing Zhou

“…Post-image preprocessing, brain functional networks were constructed using the Dosenbach atlas and analyzed with the DPABI-NET toolkit through graph theory.ResultsIn T2DM patients, functional connectivity within and between the default mode network (DMN), frontal parietal network (FPN), subcortical network (SCN), ventral attention network (VAN), somatosensory network (SMN), and visual network (VN) was significantly reduced compared to HCs. …”
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Single-cell analyses of intestinal epithelium reveal the dysregulation of gut immune microenvironment in systemic lupus erythematosus by Qiaolin Wang, Yutong Wu, Lianlian Ouyang, Xiaoli Min, Meiling Zheng, Lingyu Gao, Xiaoyun Chen, Zhi Hu, Shuang Yang, Wenjuan Jiang, Sujie Jia, Qianjin Lu, Ming Zhao

“…Conclusions Our high-resolution single-cell atlas enhances the understanding of the immune and structural milieu of intestinal epithelium in lupus and provides new insights into lupus pathogenesis mediated by intestinal immune dysregulation.…”
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Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC by Yulin Zhang, Yixu Wang, Jilin Peng, Kun Zhao, Ling Li, Yuan Zhang, Ziyu Zhai, Sijie Yuan, Shichao Li, Shichao Li, Shichao Li, Fanglei Ye, Le Wang

“…BackgroundN6-methyladenosine (m6A) RNA modification is crucial for tumor development and progression; however, which m6A regulators play a pivotal role in head and neck squamous cell carcinoma (HNSCC) remains ambiguous.MethodsUtilizing the Cancer Genome Atlas (TCGA) database, the expression levels of m6A regulators in HNSCC were examined, which led to the identification of heterogeneous nuclear ribonucleoprotein C (HNRNPC) as a key gene. …”
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Using Statistical Analysis to Assess Urban Groundwater in Beni Mellal City (Morocco) by Mohamed El Baghdadi, Radouane Medah, Amal Jouider

“…The study was carried out in a shallow phreatic aquifer in the piedmont zone between the Atlas Mountains and Tadla plain in Morocco. This study is carried out using physicochemical analyses with statistical analysis (CA and PCA) to show variability of groundwater hydrochemical parameters beneath Beni Mellal city in order to know spatial variability of water quality under urban activities. …”
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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

“…We have also integrated deep learning with classical machine learning methods incorporating a priori knowledge from multi-atlas segmentation which improved precision and robustness. …”
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Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers’ Perspectives in Western Cameroon by Magali Jonnalagedda-Cattin, Alida Manoëla Moukam Datchoua, Virginie Flore Yakam, Bruno Kenfack, Patrick Petignat, Jean-Philippe Thiran, Klaus Schönenberger, Nicole C Schmidt

“…Each interview was audio-recorded, transcribed, and independently coded by 2 researchers using the ATLAS.ti (Lumivero, LLC) software. The technology acceptance lifecycle framework guided the content analysis, focusing on the preadoption phases to examine the perceived acceptability and initial acceptance of the CAD tool in clinical workflows. …”
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Targeting HVEM-GPT2 axis: a novel approach to T cell activation and metabolic reprogramming in non-small cell lung cancer therapy by Yuanshan Yao, Chunji Chen, Bin Li, Wen Gao

“…Methods The lung cancer datasets for this study were directly downloaded from The Cancer Genome Atlas (TCGA). Single-cell data were sourced from the Tumor Immune Single-cell Hub (TISCH). …”
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Desafios da interprofissionalidade no Programa de Aperfeiçoamento Multiprofissional de Preceptores da Universidade Aberta do Sistema Único de Saúde by Márcio Flávio Moura de Araújo, Diego Diz Ferreira, Marina Marina Bastos Paim, Maria Fernanda Vásquez Valencia, Michelle Juliana Pereira da Silva, Alysson Feliciano Lemos, Kellen Cristina da Silva Gasque

“…A análise quantitativa utilizou o software gratuito Jamovi versão 1.6, enquanto os dados qualitativos foram analisados com o Atlas.ti versão 23. Resultados: A análise revelou predomínio de profissionais do sexo feminino (81,2%) e que a maioria dos cursistas (40%) trabalhava em serviços hospitalares. …”
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Association and multimodal model of retinal and blood-based biomarkers for detection of preclinical Alzheimer’s disease by Swetha Ravichandran, Peter J. Snyder, Jessica Alber, Charles F. Murchison, Lauren E. Chaby, Andreas Jeromin, Edmund Arthur

“…Methods We included 82 cognitively unimpaired (CU) participants (141 eyes; mean age: 67 years; range: 56–80) from the Atlas of Retinal Imaging in Alzheimer’s Study (ARIAS). …”
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Identification of Potential lncRNAs and miRNAs as Diagnostic Biomarkers for Papillary Thyroid Carcinoma Based on Machine Learning by Fei Yang, Jie Zhang, Baokun Li, Zhijun Zhao, Yan Liu, Zhen Zhao, Shanghua Jing, Guiying Wang

“…The data of lncRNA, miRNA, and mRNA were downloaded from the Cancer Genome Atlas (TCGA) dataset, followed by functional analysis of differentially expressed mRNAs. …”
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Summer Research Internship Curriculum to Promote Self-Efficacy, Researcher Identity, and Peer-to-Peer Learning: Retrospective Cohort Study by Yulia A Levites Strekalova, Rachel Liu-Galvin, Samuel Border, Sara Midence, Mishal Khan, Maya VanZanten, John Tomaszewski, Sanjay Jain, Pinaki Sarder

“…MethodsThe Human BioMolecular Atlas Program (HuBMAP) piloted the implementation of a web-based academic enrichment curriculum for the Summer 2023 Research Internship cohort, which was comprised of students from groups underrepresented in biomedical artificial intelligence research. …”
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A Novel Immune-Related lncRNA-Based Model for Survival Prediction in Clear Cell Renal Cell Carcinoma by Zedan Zhang, Yanlin Tang, Yanjun Liu, Hongkai Zhuang, Enyu Lin, Lu Xie, Xiaoqiang Feng, Kaiwen Tian, Jiayi Zeng, Jiumin Liu, Yuming Yu

“…The transcription profile and clinical information were obtained from The Cancer Genome Atlas (TCGA). Immune-related gene sets and transcription factor genes were downloaded from GSEA website and Cistrome database, respectively. …”
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Exploring the role of ELOVLs family in lung adenocarcinoma based on bioinformatic analysis and experimental validation by Zihan Wang, Wenjing Cui, Long Liang, Jingge Qu, Yuqiang Pei, Danyang Li, Ying Luo, Yue Zhang, Yifan Qiu, Yongchang Sun

“…Methods Gene expression profiling interactive analysis (GEPIA), human protein atlas (HPA), cBioPortal, Kaplan–Meier (KM) plotter, single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm and SubMap algorithms were utilized to analyze the role of ELOVLs in the LUAD. …”
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Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma by Hua Dai, Xin Tao, Yuansen Shu, Fanrong Liu, Xiaoping Cheng, Xiushen Li, Bairui Shu, Hongcheng Luo, XuXiang Chen, Zhaorui Cheng

“…Data procurement encompassed transcriptomic and clinical datasets from HCC patients, sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories. …”
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MAZ-mediated tumor progression and immune evasion in hormone receptor-positive breast cancer: Targeting tumor microenvironment and PCLAF+ subtype-specific therapy by Gaofeng Ni, Yuwei Sun, Hongling Jia, Zhikai Xiahou, Yumeng Li, Fu Zhao, Hongyan Zang

“…Methods: The study utilized single-cell RNA sequencing (scRNA-seq) data sourced from the Gene Expression Omnibus database and The Cancer Genome Atlas to analyze HR+BC and identify key cellular characteristics. …”
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Peer-assisted telemedicine hepatitis-C treatment for people who use drugs in rural communities: a mixed methods study by Kim Hoffman, Gillian Leichtling, Sarah Shin, Andrew Seaman, Tonhi Gailey, Hunter C. Spencer, P. Todd Korthuis

“…Recordings were professionally transcribed for thematic analysis with a mixed deductive and inductive framework, using Atlas.ti. Patients were surveyed about their interactions and satisfaction with peers. …”
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Spatiotemporal dynamics of early oogenesis in pigs by Wei Ge, Yi-Lin Niu, Yu-Kang Li, Li Li, Han Wang, Wen-Wen Li, Tian Qiao, Yan-Ni Feng, Yu-Qing Feng, Jing Liu, Jun-Jie Wang, Xiao-Feng Sun, Shun-Feng Cheng, Lan Li, Wei Shen

“…Projection of the germ cell clusters at different stages of oogenesis into the spatial atlas unveils a “cortical to medullary (C-M)” distribution of germ cells in the developing porcine ovaries. …”
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EHMT2‐mediated R‐loop formation promotes the malignant progression of prostate cancer via activating Aurora B by Yuyang Zhang, Mingqin Su, Yiming Chen, Li Cui, Wei Xia, Renfang Xu, Dong Xue, Xiansheng Zhang, Xingliang Feng

“…Methods Bioinformatic analyses were conducted to identify genes overexpressed in PCa tissues using The Cancer Genome Atlas (TCGA) and GEO datasets. Western blotting and immunohistochemistry assays were applied to determine the expression levels of euchromatic histone lysine methyltransferase 2 (EHMT2), pT232‐Aurora B and Cullin 3 (CUL3). …”
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CASC8 activates the pentose phosphate pathway to inhibit disulfidptosis in pancreatic ductal adenocarcinoma though the c-Myc-GLUT1 axis by Hong-Fei Yao, Jieqiong Ge, Jiahao Chen, Xiaoyan Tang, Chunjing Li, Xiao Hu, Abousalam Abdoulkader Ahmed, Yunlong Pu, Guihua Zhou, Tongyi Zhang, Zhiwei Cai, Chongyi Jiang

“…CASC8 expression and its clinical correlations were analyzed using data from The Cancer Genome Atlas (TCGA) and further verified by chromogenic in situ hybridization assay in PDAC tissues. …”
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Vivências de sofrimento moral por técnicos de Enfermagem na pandemia da COVID-19 by Gabriela da Costa Soares, Jacqueline Nascimento, Barbara Inca Barreto, Thallison Carlos Campos Santos, Marcia Caúla, Lilian Cristina Rezende, Maria Jose Menezes Brito, Carolina da Silva Caram

“…A coleta de dados se deu por meio de 14 entrevistas com técnicos de enfermagem que atuaram durante a pandemia da COVID-19 no estado de Minas Gerais, orientadas por roteiro semiestruturado e os dados foram submetidos à análise temática de conteúdo com auxílio do software ATLAS.ti. Resultados: os potenciais fatores desencadeadores de vivência de sofrimento moral, relacionam-se com o despreparo dos profissionais e das instituições e com o contexto de pandemia, indicando a existência de problemas morais evidenciados pela impotência de agir conforme o seu posicionamento ético- moral e a invisibilidade dos técnicos nos ambientes de trabalho. …”
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