Results 161 to 170 of about 45,661 (289)

Advances in Detecting RNA Modifications Using Direct RNA Nanopore Sequencing

Advanced Genetics, EarlyView.
This review examines recent advances in Oxford Nanopore Technologies direct RNA sequencing, highlighting its expanding capacity to detect RNA modifications beyond m6A. It discusses computational frameworks and basecalling innovations that enable single‐nucleotide and single‐molecule resolution, explores co‐occurring modifications and their regulatory ...
Yaran Liu, Yang Li, Qiang Sun
wiley   +1 more source

circRNA-SMO upregulates CEP85 to promote proliferation and migration of glioblastoma via sponging miR-326 [PDF]

, 2023
Circular RNAs (circRNAs) play an important role in cancer development by sponging microRNAs (miRNAs) to regulate the signaling axis. However, more comprehensive mechanisms of circRNAs in glioblastoma need to be elucidated.
Chen, Gao, Jin, Kai, Li, Liwen, Sun, Caixing, Wu, Bin, Xia, Liang, Xia, Ting, Zhang, Shuyuan   +7 more
core  

Exploring Organ‐Specific Extracellular Vesicles in Metabolic Improvements Following Bariatric Surgery in Youth With Obesity

Obesity, EarlyView.
ABSTRACT Objective Vertical sleeve gastrectomy (VSG) promotes significant metabolic improvements, though the underlying molecular mechanisms are not fully understood. Emerging evidence suggests that small extracellular vesicles (sEVs) contribute to metabolic improvements post VSG, such as improved fatty liver disease or adipose tissue function; however,
Ahlee Kim, Tsuyoshi Okura, Kwangmin Choi, Rupinder Gill, Vishnupriya J. Borra, Kazutoshi Murakami, Andrew Poulos, Xiang Zhang, Todd Jenkins, Amy Sanghavi Shah, Michael Helmrath, Takahisa Nakamura   +11 more
wiley   +1 more source

CircRNAs in hematopoiesis and hematological malignancies

Blood Cancer Journal, 2016
AbstractCell states in hematopoiesis are controlled by master regulators and by complex circuits of a growing family of RNA species impacting cell phenotype maintenance and plasticity. Circular RNAs (circRNAs) are rapidly gaining the status of particularly stable transcriptome members with distinctive qualities. RNA-seq identified thousands of circRNAs
BONIZZATO, ANNAGIULIA, GAFFO, ENRICO, TE KRONNIE, GEERTRUDY, BORTOLUZZI, STEFANIA   +3 more
openaire   +5 more sources

Bioengineered Extracellular Vesicles in Emerging Cancer Vaccine Platforms

Small Science, EarlyView.
This review highlights recent advances in engineering extracellular vesicles (EVs) as next‐generation cancer vaccines. It outlines their biological roles and antigen‐presenting capacity, explores key strategies for antigen loading and delivery optimization, and summarizes preclinical and clinical applications using EVs from diverse immune and tumor ...
Wonkyung Ahn, Yeram Lee, Gi‐Hoon Nam, Jae Bem You, Eun Jung Lee   +4 more
wiley   +1 more source

The Non-Coding RNA Ontology : a comprehensive resource for the unification of non-coding RNA biology [PDF]

, 2016
In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification.
Alan, Ruttenberg, Blake Judith, A., Dejing, Dou, Jingshan, Huang, Jun, Huan, Karen, Eilbeck, Natale Darren, A., Smith, Barry, Weili, Huang, Zimmermann Michael, T.   +9 more
core  

Unveiling the potential of emerging microRNA panels as diagnostic biomarkers for prostate cancer: A review

UroPrecision, EarlyView.
Abstract Prostate cancer (PCa) is a multifaceted disease that envelops 1.41 million new cases globally. It is the second most common cancer reported in men. Its heterogeneity and indolent growth, coupled with incompetent early screening methods such as serum prostate‐specific antigen level estimations and digital rectal examinations, contribute to its ...
Anveshika Manoj, Gautam Prasad, Mohammad Kaleem Ahmad   +2 more
wiley   +1 more source

Construction of circRNA–miRNA–mRNA Network Reveal Functional circRNAs and Key Genes in Acute Myeloid Leukemia

International Journal of General Medicine, 2023
Lianbo Hu,1 Bingrong Zheng,2 Yang Yang,2 Chunmei Chen,2 Meiwei Hu2 1Physical Examination Center, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People’s Republic of China; 2Department of ...
Hu L, Zheng B, Yang Y, Chen C, Hu M
doaj  

Brain metastasis in non‐small cell lung cancer: High‐risk factors and predictive models

VIEW, EarlyView.
Artificial intelligence (AI) can integrate of data to predict brain metastases (BM) in non‐small cell lung cancer (NSCLC). AI algorithms are employed to analyze these multifaceted datasets, enabling the identification of complex patterns and correlations that may not be apparent through traditional analytical methods.
Chen Gong, Ben Zhao, Shuangshuang Mao, Qingxu Liu, Yuanyuan Zhao, Yiwen Liu, Yao Luo, Qianxia Li   +7 more
wiley   +1 more source

Biogenesis, Functions, and Role of CircRNAs in Lung Cancer

Cancer Management and Research, 2021
Huanhuan Dong,* Junliang Zhou,* Yue Cheng, Meiqi Wang, Shuqing Wang, Hui Xu Department of Clinical Laboratory, Harbin Medical University Cancer Hospital, Harbin, 150081, People’s Republic of China*These authors contributed equally to this ...
Dong H, Zhou J, Cheng Y, Wang M, Wang S, Xu H   +5 more
doaj