Gene expression studies in prostate cancer tissue: which reference gene should be selected for normalization? (Q52936360)

9 May 2018

title

Gene expression studies in prostate cancer tissue: which reference gene should be selected for normalization? (English)

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9 May 2018

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Klaus Jung

object named as

Klaus Jung

11

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ORCID Public Data File 2021

author name string

Falk Ohl

1

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9 May 2018

Monika Jung

2

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Chuanliang Xu

3

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Carsten Stephan

4

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Anja Rabien

5

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Mick Burkhardt

6

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Andreas Nitsche

7

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Glen Kristiansen

8

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9 May 2018

Stefan A Loening

9

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publication date

7 October 2005

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9 May 2018

Journal of Molecular Medicine

published in

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9 May 2018

volume

83

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9 May 2018

page(s)

1014-1024

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issue

12

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9 May 2018

https://scigraph.springernature.com/pub.10.1007/s00109-005-0703-z

exact match

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cites work

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Expression of messenger RNA coding for 5-HT receptor, alpha and beta adrenoreceptor (subtypes) during oestrus and dioestrus in the bovine uterus

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The membrane-anchored MMP inhibitor RECK is a key regulator of extracellular matrix integrity and angiogenesis

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Guideline to reference gene selection for quantitative real-time PCR

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Equivalence test in quantitative reverse transcription polymerase chain reaction: confirmation of reference genes suitable for normalization

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Control selection for RNA quantitation

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Quantitative analysis of kallikrein 15 gene expression in prostate tissue

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Expression of the prolactin-inducible protein (PIP/GCDFP15) gene in benign epithelium and adenocarcinoma of the prostate.

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mRNA expression and protein distribution of the unspliced tenascin-C isoform in prostatic adenocarcinoma

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Histologic grade, clinical stage, and patient age in prostate cancer

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Predicting prostate cancer behavior using transcript profiles

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Housekeeping genes as internal standards: use and limits

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Up-regulation of cathepsin X in prostate cancer and prostatic intraepithelial neoplasia

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Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays

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mRNA expression of the five membrane-type matrix metalloproteinases MT1-MT5 in human prostatic cell lines and their down-regulation in human malignant prostatic tissue

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Expression stability of six housekeeping genes: A proposal for resistance gene quantification studies of Pseudomonas aeruginosa by real-time quantitative RT-PCR.

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Validation of internal control genes for gene expression analysis in diabetic glomerulosclerosis

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Ribosomal 18S RNA prevails over glyceraldehyde-3-phosphate dehydrogenase and beta-actin genes as internal standard for quantitative comparison of mRNA levels in invasive and noninvasive human melanoma cell subpopulations

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Evaluating RNA status for RT-PCR in extracts of postmortem human brain tissue.

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Housekeeping genes as internal standards in cancer research

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Reference genes identified in SH-SY5Y cells using custom-made gene arrays with validation by quantitative polymerase chain reaction

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ALCAM/CD166 is up-regulated in low-grade prostate cancer and progressively lost in high-grade lesions

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Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets

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Statistical modeling for selecting housekeeper genes

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Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR.

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Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems.

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Gene expression analysis by real-time reverse transcription polymerase chain reaction: influence of tissue handling.

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Validation of endogenous controls for gene expression analysis in microdissected human renal biopsies

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HOXB13 induces growth suppression of prostate cancer cells as a repressor of hormone-activated androgen receptor signaling

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Quantitative real-time reverse transcription polymerase chain reaction: normalization to rRNA or single housekeeping genes is inappropriate for human tissue biopsies.

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12 December 2020

10.1007/S00109-005-0703-Z

Identifiers

DOI

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9 May 2018

PubMed ID

16211407

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9 May 2018