Evidence map›Paper›PMID 32894270›Full record

ArticleJournal of visualized experiments : JoVE2020

Clonal Analysis of the Neonatal Mouse Heart using Nearest Neighbor Modeling.

Melanie Bakovic, Devang Thakkar, Paige DeBenedittis, Diana C Chong, Michael C Thomas, Edwin S Iversen, Ravi Karra

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2020. 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 50% 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, 2 citations in OpenAlex.

  1. Mechanisms and Therapeutic Potential of Human Cardiomyocyte Proliferation.Journal of cardiovascular development and disease · 2026
    Review
  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

7 authors at 1 institution in 2 countries.

Melanie Bakovic *Department of Medicine, Duke University.
Devang Thakkar *Center for Genomic and Computational Biology, Duke University.
Paige DeBenedittisDepartment of Medicine, Duke University.
Diana C ChongDepartment of Medicine, Duke University.
Michael C ThomasDepartment of Medicine, Duke University.
Edwin S IversenDepartment of Statistical Science, Duke University.
Ravi KarraDepartment of Medicine, Duke University; Regeneration Next, Duke University; ravi.karra@duke.edu.
Duke University · US

Funding

MULTIDISCIPLINARY HEART &VASCULAR DISEASEST32HL007101 · NHLBI · DUKE UNIVERSITY · PI FREEDMAN, NEIL J. · 1985 to 2020
$9.8M
Angiogenic Approaches to Stimulate Heart RegenerationR03HL144812 · NHLBI · DUKE UNIVERSITY · PI KARRA, RAVI · 2018 to 2019
$161k
NHLBI NIH HHS R03 HL144812NHLBI NIH HHS T32 HL007101
6 · The paper itself

Abstract

By replacing lost or dysfunctional myocardium, tissue regeneration is a promising approach to treat heart failure. However, the challenge of detecting bona fide heart regeneration limits the validation of potential regenerative factors. One method to detect new cardiomyocytes is multicolor lineage tracing with clonal analysis. Clonal analysis experiments can be difficult to undertake, because labeling conditions that are too sparse lack sensitivity for rare events such as cardiomyocyte proliferation, and diffuse labeling limits the ability to resolve clones. Presented here is a protocol to undertake clonal analysis of the neonatal mouse heart by using statistical modeling of nearest neighbor distributions to resolve cardiomyocyte clones. This approach enables resolution of clones over a range of labeling conditions and provides a robust analytical approach for quantifying cardiomyocyte proliferation and regeneration. This protocol can be adapted to other tissues and can be broadly used to study tissue regeneration.

Indexed as

Models, CardiovascularAnimalsAnimals, NewbornCell ProliferationClone CellsMiceMyocytes, Cardiac

Identifiers

PMID32894270
PMCPMC7594646
OpenAlexW3080326809

What OpenQuestion holds

Textmetadata
LicenceTDM
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.