Evidence map›Paper›PMID 29534701›Full record

ArticleBMC molecular biology2018

Recommendations for mRNA analysis of micro-dissected glomerular tufts from paraffin-embedded human kidney biopsy samples.

Clemens L Bockmeyer, Juliane Wittig, Karen Säuberlich, Philipp Selhausen, Marc Eßer, Philip Zeuschner, Friedrich Modde, Kerstin Amann, Christoph Daniel

Open access · hybridAbstract read
In one paragraph

Article in BMC molecular biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Clemens L BockmeyerDepartment of Nephropathology, Institute of Pathology, Friedrich-Alexander University Erlangen-Nuremberg, Krankenhausstraße 8-10, 91054, Erlangen, Germany. bockmeyer@gmail.com.ORCID 0000-0001-5448-0204
Juliane WittigInstitute of Pathology, University Hospital of Cologne, Cologne, Germany.
Karen SäuberlichInstitute of Pathology, University Hospital of Cologne, Cologne, Germany.
Philipp SelhausenDepartment of Nephropathology, Institute of Pathology, Friedrich-Alexander University Erlangen-Nuremberg, Krankenhausstraße 8-10, 91054, Erlangen, Germany.
Marc EßerInstitute of Pathology, University Hospital of Cologne, Cologne, Germany.
Philip ZeuschnerInstitute of Pathology, University Hospital of Cologne, Cologne, Germany.
Friedrich ModdeInstitute of Pathology, Hannover Medical School, Hannover, Germany.
Kerstin AmannDepartment of Nephropathology, Institute of Pathology, Friedrich-Alexander University Erlangen-Nuremberg, Krankenhausstraße 8-10, 91054, Erlangen, Germany.
Christoph DanielDepartment of Nephropathology, Institute of Pathology, Friedrich-Alexander University Erlangen-Nuremberg, Krankenhausstraße 8-10, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity Hospital Cologne · DEMedizinische Hochschule Hannover · DE

Funding

Dr. Werner Jackstädt-Stiftung 07-2012IZKF and ELAN from University Hospital Erlangen-Nuremberg 15-06-14-1-Bockmeyer
6 · The paper itself

Abstract

backgroundGlomeruli are excellent pre-determined natural structures for laser micro-dissection. Compartment-specific glomerular gene expression analysis of formalin-fixed paraffin-embedded renal biopsies could improve research applications. The major challenge for such studies is to obtain good-quality RNA from small amounts of starting material, as applicable for the analysis of glomerular compartments. In this work, we provide data and recommendations for an optimized workflow of glomerular mRNA analysis.

resultsWith a proper resolution of the camera and screen provided by the next generation of micro-dissection systems, we are able to separate parietal epithelial cells from glomerular tufts. Selected compartment-specific transcripts (WT1 and GLEPP1 for glomerular tuft as well as PAX2 for parietal epithelial cells) seem to be reliable discriminators for these micro-dissected glomerular substructures. Using the phenol-chloroform extraction and hemalaun-stained sections (2 µm), high amounts of Bowman's capsule transections (> 300) reveal sufficient RNA concentrations (> 300 ng mRNA) for further analysis. For comparison, in unstained sections from a number of 60 glomerular transections upwards, a minimum amount of 157 ng mRNA with a reasonable mRNA purity [A260/A280 ratio of 1.5 (1.4/1.7) median (25th/75th percentiles)] was reversely transcribed into cDNA. Comparing the effect of input RNA (20, 60, 150 and 300 micro-dissected glomerular transections), transcript expression of POLR2A significantly correlated when 60 and 150 laser micro-dissected glomerular transections were used for analysis. There was a lower inter-assay coefficient of variability for ADAMTS13, when at least 60 glomerular transections were used. According to the algorithms of geNormPlus and NormFinder, PGK1 and PPIA are more stable glomerular reference transcripts compared to GUSB, GAPDH, POLR2A, RPLPO, TBP, B2M, ACTB, 18SrRNA and HMBS.

conclusionsOur approach implements compartment-specific glomerular mRNA expression analysis into research applications, even regarding glomerular substructures like parietal epithelial cells. We recommend using of at least 60 micro-dissected unstained glomerular or 300 hemalaun-stained Bowman's capsule transections to obtain sufficient input mRNA for reproducible results. Hereby, the range of RNA concentrations in 60 micro-dissected glomeruli is low and appropriate normalization of C

Indexed as

AdultBiopsyFemaleGene Expression ProfilingHumansKidneyLaser Capture MicrodissectionMaleMiddle AgedOrgan SpecificityParaffin EmbeddingRNA, MessengerYoung AdultRNA, MessengerEndogenous controlsFFPEHousekeeping geneKidney biopsiesLaser capture micro-dissectionLaser microdissectionLCMReference transcript

Identifiers

PMID29534701
PMCPMC5850911
OpenAlexW2792747380

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.