Evidence map›Paper›PMID 29084228›Full record

ArticlePloS one2017

A method to increase reproducibility in adult ventricular myocyte sizing and flow cytometry: Avoiding cell size bias in single cell preparations.

Javier E López, Katrin Jaradeh, Emmanuel Silva, Shadi Aminololama-Shakeri, Paul C Simpson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Guideline
  2. Article
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

5 authors at 2 institutions in 1 country.

Javier E LópezUniversity of California, Davis, CA, United States of America.ORCID http://orcid.org/0000-0001-7276-6628
Katrin JaradehUniversity of California, Davis, CA, United States of America.
Emmanuel SilvaUniversity of California, Davis, CA, United States of America.
Shadi Aminololama-ShakeriUniversity of California, Davis, CA, United States of America.
Paul C SimpsonVA Medical Center and University of California, San Francisco, CA, United States of America.
University of California, Davis · USSan Francisco VA Medical Center · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Institutional Career Development Core (KL2)KL2TR001859 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F. · 2016 to 2025
$10.1M
CATECHOLAMINES AND HYPERTROPHY OF CULTURED HEART CELLSR01HL031113 · NHLBI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI SIMPSON, PAUL C · 1985 to 2021
$5.7M
Novel adrenergic mechanisms in heart failure therapyI01BX004314 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI TEERLINK, JOHN R. · 2019 to 2022
–
NCATS NIH HHS KL2 TR001859NCATS NIH HHS UL1 TR001860NHLBI NIH HHS R01 HL031113
6 · The paper itself

Abstract

rationaleFlow cytometry (FCM) of ventricular myocytes (VMs) is an emerging technology in adult cardiac research that is challenged by the wide variety of VM shapes and sizes. Cellular variability and cytometer flow cell size can affect cytometer performance. These two factors of variance limit assay validity and reproducibility across laboratories. Washing and filtering of ventricular cells in suspension are routinely done to prevent cell clumping and minimize data variability without the appropriate standardization. We hypothesize that washing and filtering arbitrarily biases towards sampling smaller VMs than what actually exist in the adult heart.

objectiveTo determine the impact of washing and filtering on adult ventricular cells for cell sizing and FCM. METHODS AND

resultsLeft ventricular cardiac cells in single-cell suspension were harvested from New Zealand White rabbits and fixed prior to analysis. Each ventricular sample was aliquoted before washing or filtering through a 40, 70, 100 or 200μm mesh. The outcomes of the study are VM volume by Coulter Multisizer and light-scatter signatures by FCM. Data are presented as mean±SD. Myocyte volumes without washing or filtering (NF) served as the "gold standard" within the sample and ranged from 11,017 to 46,926μm3. Filtering each animal sample through a 200μm mesh caused no variation in the post-filtration volume (1.01+0.01 fold vs. NF, n = 4 rabbits, p = 0.999) with an intra-assay coefficient of variation (%CV) of <5% for all 4 samples. Filtering each sample through a 40, 70 or 100μm mesh invariably reduced the post-filtration volume by 41±10%, 9.0±0.8% and 8.8±0.8% respectively (n = 4 rabbits, p<0.0001), and increased the %CV (18% to 1.3%). The high light-scatter signature by FCM, a simple parameter for the identification of ventricular myocytes, was measured after washing and filtering. Washing discarded VMs and filtering cells through a 40 or 100μm mesh reduced larger VM by 46% or 11% respectively (n = 6 from 2 rabbits, p<0.001).

conclusionWashing and filtering VM suspensions through meshes 100μm or less biases myocyte volumes to smaller sizes, excludes larger cells, and increases VM variability. These findings indicate that validity and reproducibility across laboratories can be compromised unless cell preparation is standardized. We propose no wash prior to fixation and a 200μm mesh for filtrations to provide a reproducible standard for VM studies using FCM.

Indexed as

AnimalsCell SizeHeart VentriclesMaleMyocytes, CardiacRabbitsReproducibility of Results

Identifiers

PMID29084228
PMCPMC5662089
OpenAlexW2766868729

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.