4.5 Review

Standardization procedure for plasma biomarker analysis in rat models of epileptogenesis: Focus on circulating microRNAs

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Clinical Neurology

Common data elements and data management: Remedy to cure underpowered preclinical studies

Niina Lapinlampi et al.

EPILEPSY RESEARCH (2017)

Review Pathology

Considerations for optimization of microRNA PCR assays for molecular diagnosis

Margaret Dellett et al.

EXPERT REVIEW OF MOLECULAR DIAGNOSTICS (2016)

Review Clinical Neurology

Advances in the development of biomarkers for epilepsy

Asla Pitkanen et al.

LANCET NEUROLOGY (2016)

Review Clinical Neurology

MicroRNAs in epilepsy: pathophysiology and clinical utility

David C. Henshall et al.

LANCET NEUROLOGY (2016)

Article Biochemistry & Molecular Biology

Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow

Dominik Buschmann et al.

NUCLEIC ACIDS RESEARCH (2016)

Article Multidisciplinary Sciences

Platelets confound the measurement of extracellular miRNA in archived plasma

Adam J. Mitchell et al.

SCIENTIFIC REPORTS (2016)

Review Biotechnology & Applied Microbiology

A survey of best practices for RNA-seq data analysis

Ana Conesa et al.

GENOME BIOLOGY (2016)

Article Multidisciplinary Sciences

Genome-wide circulating microRNA expression profiling indicates biomarkers for epilepsy

Jun Wang et al.

SCIENTIFIC REPORTS (2015)

Review Biotechnology & Applied Microbiology

Challenges in Using Circulating miRNAs as Cancer Biomarkers

Paola Tiberio et al.

BIOMED RESEARCH INTERNATIONAL (2015)

Article Biology

RNA-seq: impact of RNA degradation on transcript quantification

Irene Gallego Romero et al.

BMC BIOLOGY (2014)

Review Oncology

Library preparation methods for next-generation sequencing: Tone down the bias

Erwin L. van Dijk et al.

EXPERIMENTAL CELL RESEARCH (2014)

Article Cell Biology

Methodological challenges in utilizing miRNAs as circulating biomarkers

Leni Moldovan et al.

JOURNAL OF CELLULAR AND MOLECULAR MEDICINE (2014)

Article Biochemistry & Molecular Biology

Standardizing Analysis of Circulating MicroRNA: Clinical and Biological Relevance

Nicholas H. Farina et al.

JOURNAL OF CELLULAR BIOCHEMISTRY (2014)

Article Clinical Neurology

The challenge and promise of anti-epileptic therapy development in animal models

Michele Simonato et al.

LANCET NEUROLOGY (2014)

Article Multidisciplinary Sciences

Optimization of Extraction of Circulating RNAs from Plasma - Enabling Small RNA Sequencing

Melanie Spornraft et al.

PLOS ONE (2014)

Article Biochemical Research Methods

A comparison of methods for differential expression analysis of RNA-seq data

Charlotte Soneson et al.

BMC BIOINFORMATICS (2013)

Article Biotechnology & Applied Microbiology

Characterization of human plasma-derived exosomal RNAs by deep sequencing

Xiaoyi Huang et al.

BMC GENOMICS (2013)

Review Biochemical Research Methods

Assessing sample and miRNA profile quality in serum and plasma or other biofluids

Thorarinn Blondal et al.

METHODS (2013)

Article Multidisciplinary Sciences

Plasma Processing Conditions Substantially Influence Circulating microRNA Biomarker Levels

Heather H. Cheng et al.

PLOS ONE (2013)

Article Multidisciplinary Sciences

Assessing an Improved Protocol for Plasma microRNA Extraction

Ines Moret et al.

PLOS ONE (2013)

Article Multidisciplinary Sciences

Influence of Plasma Processing on Recovery and Analysis of Circulating Nucleic Acids

Karen Page et al.

PLOS ONE (2013)

Article Oncology

Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studies

Colin C. Pritchard et al.

CANCER PREVENTION RESEARCH (2012)

Article Biotechnology & Applied Microbiology

Unbiased approach to profile the variety of small non-coding RNA of human blood plasma with massively parallel sequencing technology

Dmitry V. Semenov et al.

EXPERT OPINION ON BIOLOGICAL THERAPY (2012)

Article Pathology

Plasma Components Affect Accuracy of Circulating Cancer-Related MicroRNA Quantitation

Dong-Ja Kim et al.

JOURNAL OF MOLECULAR DIAGNOSTICS (2012)

Article Multidisciplinary Sciences

A call for transparent reporting to optimize the predictive value of preclinical research

Story C. Landis et al.

NATURE (2012)

Review Geriatrics & Gerontology

Alternative splicing of mRNA in the molecular pathology of neurodegenerative diseases

James Dominic Mills et al.

NEUROBIOLOGY OF AGING (2012)

Article Multidisciplinary Sciences

Comparing the MicroRNA Spectrum between Serum and Plasma

Kai Wang et al.

PLOS ONE (2012)

Review Biotechnology & Applied Microbiology

MicroRNA history: Discovery, recent applications, and next frontiers

Maria I. Almeida et al.

MUTATION RESEARCH-FUNDAMENTAL AND MOLECULAR MECHANISMS OF MUTAGENESIS (2011)

Review Genetics & Heredity

RNA sequencing: advances, challenges and opportunities

Fatih Ozsolak et al.

NATURE REVIEWS GENETICS (2011)

Article Multidisciplinary Sciences

Haemolysis during Sample Preparation Alters microRNA Content of Plasma

Michaela B. Kirschner et al.

PLOS ONE (2011)

Article Endocrinology & Metabolism

Brain and blood microRNA expression profiling of ischemic stroke, intracerebral hemorrhage, and kainate seizures

Da-Zhi Liu et al.

JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2010)

Article Biochemical Research Methods

mRNA and microRNA quality control for RT-qPCR analysis

C. Becker et al.

METHODS (2010)

Article Immunology

What are biomarkers?

Kyle Strimbu et al.

CURRENT OPINION IN HIV AND AIDS (2010)

Review Genetics & Heredity

RNA-Seq: a revolutionary tool for transcriptomics

Zhong Wang et al.

NATURE REVIEWS GENETICS (2009)

Article Biochemistry & Molecular Biology

The RIN: an RNA integrity number for assigning integrity values to RNA measurements

A Schroeder et al.

BMC MOLECULAR BIOLOGY (2006)

Article Biochemical Research Methods

Gene selection and classification of microarray data using random forest -: art. no. 3

R Díaz-Uriarte et al.

BMC BIOINFORMATICS (2006)

Article Computer Science, Artificial Intelligence

Gene selection for cancer classification using support vector machines

I Guyon et al.

MACHINE LEARNING (2002)