Evidence map›Paper›PMID 29352247›Full record

ArticleScientific reports2018

High content analysis identifies unique morphological features of reprogrammed cardiomyocytes.

Matthew D Sutcliffe, Philip M Tan, Antonio Fernandez-Perez, Young-Jae Nam, Nikhil V Munshi, Jeffrey J Saucerman

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

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  17. Sympathetic Neurons Regulate Cardiomyocyte Maturation in Culture.Frontiers in cell and developmental biology · 2022
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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

6 authors.

Matthew D SutcliffeDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA.ORCID http://orcid.org/0000-0002-2139-6732
Philip M TanDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA.ORCID http://orcid.org/0000-0002-4108-5720
Antonio Fernandez-PerezDepartment of Internal Medicine, Division of Cardiology, UT Southwestern Medical Center, Dallas, TX, 75390, USA.ORCID http://orcid.org/0000-0002-3781-7327
Young-Jae NamDepartment of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
Nikhil V MunshiDepartment of Internal Medicine, Division of Cardiology, UT Southwestern Medical Center, Dallas, TX, 75390, USA.
Jeffrey J SaucermanDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA, 22908, USA. jsaucerman@virginia.edu.

Funding

TRAINING IN CELL AND MOLECULAR BIOLOGYT32GM008136 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI STUKENBERG, P. TODD · 1985 to 2020
$8.5M
Multi-scale Systems Model of Murine Heart FailureR01HL105242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BERS, DONALD M, MCCULLOCH, ANDREW D. · 2012 to 2016
$3.5M
Defining process control parameters for cardiac reprogrammingR03HL135217 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI MUNSHI, NIKHIL VILAS · 2016 to 2017
$162k
NHLBI NIH HHS R01 HL105242NHLBI NIH HHS R03 HL135217NIGMS NIH HHS T32 GM008136
6 · The paper itself

Abstract

Direct reprogramming of fibroblasts into cardiomyocytes is a promising approach for cardiac regeneration but still faces challenges in efficiently generating mature cardiomyocytes. Systematic optimization of reprogramming protocols requires scalable, objective methods to assess cellular phenotype beyond what is captured by transcriptional signatures alone. To address this question, we automatically segmented reprogrammed cardiomyocytes from immunofluorescence images and analyzed cell morphology. We also introduce a method to quantify sarcomere structure using Haralick texture features, called SarcOmere Texture Analysis (SOTA). We show that induced cardiac-like myocytes (iCLMs) are highly variable in expression of cardiomyocyte markers, producing subtypes that are not typically seen in vivo. Compared to neonatal mouse cardiomyocytes, iCLMs have more variable cell size and shape, have less organized sarcomere structure, and demonstrate reduced sarcomere length. Taken together, these results indicate that traditional methods of assessing cardiomyocyte reprogramming by quantifying induction of cardiomyocyte marker proteins may not be sufficient to predict functionality. The automated image analysis methods described in this study may enable more systematic approaches for improving reprogramming techniques above and beyond existing algorithms that rely heavily on transcriptome profiling.

Indexed as

Cellular ReprogrammingAlgorithmsAnimalsCells, CulturedFibroblastsImage Processing, Computer-AssistedMiceMyocytes, CardiacSingle-Cell Analysis

Identifiers

PMID29352247
PMCPMC5775342

What OpenQuestion holds

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LicenceCC BY
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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.