Results 141 to 150 of about 91,462 (268)

Deep Learning-Based Analysis of Gene Expression Data and Gene-Related Information in Pediatric Surgical Oncology: A Scoping Review. [PDF]

Cancer Med
Berhe S, Fuchs SE, Akalin A, van der Steeg AFW, Warmann SW, Buser MAD, Markel M.   +6 more
europepmc   +1 more source

A Serum lncRNA Signature Determines Oncogenic YAP Activity in Cancer Patients

International Journal of Cancer, EarlyView.
Long non‐coding RNAs (lncRNAs) signatures are promising cancer biomarkers, since their dysregulation in tumors is reflected in body fluids. In this study, next‐generation sequencing, bioinformatics, and gene expression data were combined to investigate an lncRNA signature linked specifically to the cancer‐promoting YAP in several cancer types ...
Fabian Rose, Nada El‐Ekiaby, Lilija Wehling, Sofia Maria Elisabeth Weiler, Jennifer Schmitt, Marcell Tóth, Fabiola Pedrini, Amruta Damle‐Vartak, Carsten Sticht, Rossella Pellegrino, Injie Omar Fawzy, Merna Hatem Mohamed Hamad, Mohamed Negm, Dina Omar, Hossam Eldeen Soliman, Gamal Esmat, Thomas Longerich, Thomas Illig, Bruno Christian Köhler, Anna Saborowski, Heike Bantel, Arndt Vogel, Peter Schirmacher, Ahmed Ihab Abdelaziz, Kai Breuhahn   +24 more
wiley   +1 more source

MET Expression in Upper Gastrointestinal Adenocarcinoma: Prevalence, Prognostic Impact, and Implications for Anti‐MET Antibody‐Drug Conjugate Therapy

International Journal of Cancer, EarlyView.
ABSTRACT MET is an actionable receptor tyrosine kinase, and MET‐directed antibody–drug conjugates (ADCs) have recently entered clinical practice with FDA approval in non‐small cell lung cancer and are now being evaluated across gastrointestinal malignancies, with patient selection based on MET immunohistochemistry (IHC) 3+ membranous staining at ...
Tillmann Bedau, Thomas Zander, Hans Anton Schlößer, Hakan Alakus, Onur Mustafov, Reinhard Büttner, Christiane Bruns, Alexander Quaas   +7 more
wiley   +1 more source

SNP-Based Chromosomal Microarray Analysis in the Era of Optical Genome Mapping: An Enriched Case-Series Evaluating Copy-Neutral Events. [PDF]

Cancers (Basel)
Marr AR, Gonzales PR, Golem S.
europepmc   +1 more source

The DIKW of Transcriptomics in Ecotoxicology: Extracting Information, Knowledge, and Wisdom From Big Data

Environmental Toxicology and Chemistry, EarlyView.
Jessica A. Head, Jessica D. Ewald, Niladri Basu   +2 more
wiley   +1 more source

Gene expression signatures from single‐cell transcriptomics predict Sjögren's syndrome

iMetaOmics, EarlyView.
A machine learning‐based 12‐gene signature (SjS.Sig) was developed from scRNA‐seq data of PBMCs from Sjögren's syndrome patients. The model was validated using bulk RNA‐seq datasets and further confirmed through flow cytometry and qPCR analysis in an independent clinical cohort, demonstrating robust diagnostic potential.
Shumin Cheng, Ling Yan, Yilin Wu, Yan Li, Ziheng Ye, Zhen Zhang, Yi Zhang, Jingyun Ma, Yuhong Liang, Zhaofan Luo, Huacheng Wang, Meili Gao, Chao Qin, Ke Zhu, Yun Leng, Kamran Ullah, Jun Liang, Haiyan Yan, Guan Yang, Yingqian Mo, Bihui Huang   +20 more
wiley   +1 more source

Revolutionizing Stem Cell Sorting with Machine Learning: A Review of Trends, Tools, and Future Directions. [PDF]

Iran J Med Sci
Mousazadeh M, Jahangiri-Manesh A, Soltaninejad H, Yazdi F, Rahimian K, Curran KM, Khashayar P.   +6 more
europepmc   +1 more source

Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes

iMeta, EarlyView.
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang, Jia Li, Chao Tang, You Wu, Hao Wu, Xi‐Tong Zhu, Ziyang Luo, Hang Qin, Lishan Ding, Yu Zeng, Shiou Yih Lee, Xiaotao Shen, Shiwen Gao, Zhaoyang Tian, Qian Tang, Mian Li, Muhammad Tahir Ul Qamar, Yang Dong, Komivi Dossa, Yaxuan Zhang, Hu Chen, Sanqi An, Xiang Yu, Lu Chen, Dingjie Wang, Shengli Li, Ling‐Ling Chen, Yanqiang Li   +27 more
wiley   +1 more source

Tissue Microarray for Gynecological Pathology Studies: A Mini-Review. [PDF]

J Microsc Ultrastruct
Arafa M, Foda AA, Salama A, Shalaby O, Al-Jabri M, Al Hinai F, Al-Rashdi A, Al-Husaini S, Al-Badi S.   +8 more
europepmc   +1 more source

Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives

iMeta, EarlyView.
This review focuses on spatial omics, covering the introduction and comparison of technology platforms, explanation and recommendation of algorithm ecology, demonstration of biological applications, and prospect of large models. It aims to help researchers in the interdisciplinary field of spatial omics quickly understand the current situation and ...
Haoxiu Wang, Xinwang Yang, Siheng Wang, Zhe Yang, Xiuhui Yang, Yutong Yang, Zirong Li, Yuqi Ren, Qianqian Zhang, Bowen Zhao, Jingming Xiao, Yidong Wang, Junhao Dong, Zhenhao Kou, Jie Li, Liqun Yang, Erhu Zhao, Gregory Fonseca, Ruibang Luo, Mingyu Yang, Hongjuan Cui, Gengjie Jia, Dan Wang, Haoyang Li, Jun Ding, Zhiyuan Yuan, Haojing Shao   +26 more
wiley   +1 more source