Results 181 to 190 of about 112,737 (278)

Corneal stromal stem cell-derived extracellular vesicles inhibit corneal neovascularization. [PDF]

Indian J Ophthalmol
Santra M, Geary ML, Coelho JT, Ali SR, Chandran C, Dhaliwal DK, Jhanji V, Yam GH.   +7 more
europepmc   +1 more source

The Clinical Utility of Sequence‐Based Genetic Testing for Fetal Edema Following Non‐Diagnostic Microarray Results: A Population‐Based Cohort Study

Prenatal Diagnosis, EarlyView.
ABSTRACT Objective Ultrasound findings of fetal edema may provide early evidence of a genetic disorder. Our objective was to evaluate the frequency and diagnostic yield of sequencing in a selected population after a non‐diagnostic microarray result for fetal edema.
Victoria M. Allen, Heleen H. Arts, Erica Schollenberg, Samantha Kinley, Erika Aberg, Jo‐Ann K. Brock   +5 more
wiley   +1 more source

The value of quantitative fluorescence polymerase chain reaction for the products of conception in the era of copy number variation sequencing. [PDF]

Front Genet
Yang S, Zhang H, Wang Y, Zhang Q, Wu Y, Fu X, Li R.   +6 more
europepmc   +1 more source

Evaluation of Loss of the Y Chromosome in Peripheral Blood as a Biomarker for Prostate Cancer

The Prostate, EarlyView.
ABSTRACT Background Prostate cancer (PCa) is the most common malignant tumor in men, but the widely used prostate‐specific antigen (PSA) test has limited diagnostic accuracy. Research proposes that the loss of the Y chromosome (LOY) may affect the occurrence and development of prostate cancer, aiming to assess its potential as a diagnostic biomarker to
Jun Lu, Yan Lu, Takuro Kobayashi, Tsuyoshi Hachiya, Haruhiko Wakita, Yiming Jin, Yasunari Tanaka, Yoshihiro Ikehata, Masayoshi Nagata, Hisamitsu Ide, Shigeo Horie   +10 more
wiley   +1 more source

Comparison of neonatal systemic and intracerebroventricular AAV9 gene therapy delivery demonstrating improved behavioral and phenotypic outcomes in a mouse model of Niemann-Pick disease, type C1. [PDF]

PLoS One
Epstein BE, Soden GM, Incao AA, Mylvara A, Flynn J, Ozsolak F, Pavan WJ.   +6 more
europepmc   +1 more source

Deciphering diverse cell‐death patterns to predict the prognosis and potential therapy target of hepatocellular carcinoma patients

VIEW, EarlyView.
Abstract Ninety percent of all primary liver malignancies are hepatocellular carcinomas (HCC), making liver cancer the third most common cause of cancer‐associated mortality. Different patterns of programmed cell death (PCD) are crucial for the survival of tumors, and they might serve as a prognostic marker for HCC.
Lin Ding, Qian Li, Wenjing Yang, Te Liu, Tongtong Tian, Yu Liu, Chunyan Zhang, Baishen Pan, Beili Wang, Fan Wu, Wei Guo   +10 more
wiley   +1 more source

Magnetic Resonance Imaging Findings in a Case of Presumed Unilateral Trigeminal Ganglion Aplasia in a 3-Year-Old Female French Bulldog. [PDF]

Vet Radiol Ultrasound
Jarvis JHM, Murakami M, Togawa G, Linder JE, Fulkerson CV.   +4 more
europepmc   +1 more source

Identification of genetically predicted protein biomarkers and drug targets for prostate cancer via Mendelian randomization

VIEW, EarlyView.
Prostate cancer, a leading cause of cancer in men globally, urgently requires improved diagnostic and treatment strategies. This study analyzed large genetic datasets and identified five key proteins (THBD, DST, IFI27L2, OSBPL10, PPP1R14A) that either increase or decrease cancer risk, while also exploring their roles in immune response and potential ...
Maoping Cai, Tianming Peng, Zhiyue Xie, Chuqian Zhen, Chen Yao, Nan Peng, Qianyi Li, Yuzhong Yu, Jiming Bao, Xian‐Lu Song, Mingkun Chen, Shan‐Chao Zhao   +11 more
wiley   +1 more source

CNValidatron: accurate and efficient validation of PennCNV calls using computer vision. [PDF]

BMC Bioinformatics
Montalbano S, Bragi Walters G, Jonsson GF, Gådin JR, Werge T, Gudbjartsson DF, Stefansson H, Ingason A.   +7 more
europepmc   +1 more source

Comprehensive analysis and functional validation of key genes in bladder cancer progression

VIEW, EarlyView.
Bladder cancer is highly diverse between patients, making it difficult to accurately predict who will have aggressive disease and poor outcomes. In this study, we integrated single‐cell RNA sequencing with clinical survival data to identify a simple three‐gene signature (FAM3B, C10orf99, and VMP1) that stratifies patients into high‐ and low‐risk groups.
Xiaoning Cheng, Hongxia Zhao, Qian Li, Boyang Liu, Maoping Cai, Xinyi Wang, Jiancong Lie, Yuanyuan Qu, Jianwei Li, Chunlong Yang   +9 more
wiley   +1 more source