(Q35897976)

English

Cell and Microvesicle Urine microRNA Deep Sequencing Profiles from Healthy Individuals: Observations with Potential Impact on Biomarker Studies

scientific article published on 19 January 2016

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scholarly article

1 reference

Europe PubMed Central

11 August 2017

Cell and Microvesicle Urine microRNA Deep Sequencing Profiles from Healthy Individuals: Observations with Potential Impact on Biomarker Studies (English)

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Europe PubMed Central

11 August 2017

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5

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Thomas Tuschl

1 reference

Europe PubMed Central

11 August 2017

author name string

Iddo Z Ben-Dov

1

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Europe PubMed Central

11 August 2017

Veronica M Whalen

2

1 reference

Europe PubMed Central

11 August 2017

Beatrice Goilav

3

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Europe PubMed Central

11 August 2017

Klaas E A Max

4

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Europe PubMed Central

11 August 2017

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publication date

19 January 2016

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Europe PubMed Central

11 August 2017

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Europe PubMed Central

11 August 2017

11

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Europe PubMed Central

11 August 2017

1

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Europe PubMed Central

11 August 2017

e0147249

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Europe PubMed Central

11 August 2017

copyright license

Creative Commons Attribution 4.0 International

19 January 2016

1 reference

April 2022 Public Data File from Crossref

copyright status

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ggplot2

2 references

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pmc&rettype=xml&id=4718679

CZ Software Mentions: A large dataset of software mentions in the biomedical literature

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limma

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Europe PubMed Central

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https://europepmc.org/article/PMC/4718679

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edgeR

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CZ Software Mentions: A large dataset of software mentions in the biomedical literature

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DESeq2

1 reference

CZ Software Mentions: A large dataset of software mentions in the biomedical literature

Lowering the quantification limit of the QubitTM RNA HS assay using RNA spike-in

1 reference

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limma powers differential expression analyses for RNA-sequencing and microarray studies

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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4718679

27 July 2018

Urine microRNA as potential biomarkers of autosomal dominant polycystic kidney disease progression: description of miRNA profiles at baseline

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4718679

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miR-203 modulates epithelial differentiation of human embryonic stem cells towards epidermal stratification

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4718679

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MicroRNA sequence and expression analysis in breast tumors by deep sequencing

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4718679

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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

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Bioconductor: open software development for computational biology and bioinformatics

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Mammalian 5'-capped microRNA precursors that generate a single microRNA.

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Diagnostic potential of urine proteome: a broken mirror of renal diseases

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International Federation of Clinical Chemistry (IFCC). Scientific Committee, Clinical Section. Expert Panel on Theory of Reference Values (EPTRV). IFCC Document (1982) stage 2, draft 2, 1983-10-07 with a proposal for an IFCC recommendation. The theo

1 reference

https://pubmed.ncbi.nlm.nih.gov/26785265

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Comparison of protein, microRNA, and mRNA yields using different methods of urinary exosome isolation for the discovery of kidney disease biomarkers

1 reference

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Identifiers

10.1371/JOURNAL.PONE.0147249

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Europe PubMed Central

11 August 2017

2016PLoSO..1147249B

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Europe PubMed Central

11 August 2017

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Europe PubMed Central

11 August 2017

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