Evidence map›Paper›PMID 34434787›Full record

ArticleMethodsX2021

Video-based calcification assay: A novel method for kinetic analysis of osteogenesis in live cultures.

Ivann Kc Martinez, Bir Bhanu, Nicole I Zur Nieden

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2021. 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
0.2field-weighted citation impact, top 57% 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, 3 citations in OpenAlex.

  1. Article
  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

3 authors at 1 institution in 1 country.

Ivann Kc MartinezDepartment of Molecular, Cell & Systems Biology and Stem Cell Center, College of Natural and Agricultural Sciences, University of California Riverside, Riverside, CA, 92521, USA.
Bir BhanuIGERT Graduate Program in Video Bioinformatics and Cell, Molecular Developmental Biology Graduate Program, University of California Riverside, Riverside, CA, 92521, USA.
Nicole I Zur NiedenDepartment of Molecular, Cell & Systems Biology and Stem Cell Center, College of Natural and Agricultural Sciences, University of California Riverside, Riverside, CA, 92521, USA.
University of California, Riverside · US

Funding

microRNA tuning of neural crest osteogenesisR01DE025330 · NIDCR · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZUR NIEDEN, NICOLE ISOLDE · 2016 to 2020
$1.9M
NIDCR NIH HHS R01 DE025330
6 · The paper itself

Abstract

Traditional methods of quantifying osteoblast calcification in culture require the use of calcium sensitive dyes, such as Arsenazo III or Alizarin Red S, which have been successfully used for decades to assess osteogenesis. Because these dyes elicit a colorimetric change when reacted with a cell lysate and are cytotoxic to live cells, they forfeit the ability to trace calcification longitudinally over time. Here, we demonstrate that image analysis and quantification of calcification can be performed from a series of time-lapse images acquired from videos. This method capitalizes on the unique facet of the mineralized extracellular matrix to appear black when viewed with phase contrast optics. This appearance of calcified areas had been previously documented to be characteristic to the formation of bone nodules in vitro. Due to this distinguishable appearance, extracting the information corresponding to calcification through segmentation allowed us to threshold only the pixels that comprise the mineralized areas in the image. Ultimately, this method can be used to quantify calcification yield, rates and kinetics facilitating the analyses of bone-supportive properties of growth factors and morphogens as well as of adverse effects elicited by toxicants. It may also be used on images that were acquired manually.•The method is less error-prone than absorption-based assays since it takes longitudinal measurements from the same cultures•It is cost effective as it foregoes the use of calcium-sensitive dyes•It is automatable and amenable to high-throughput and thus allows the concurrent quantification of multiple parameters of differentiation.

Indexed as

analysisDifferentiationMineralizationMorphometricStem cellsVideo bioinformatics

Identifiers

PMID34434787
PMCPMC8374304
OpenAlexW3128806185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.