Evidence map›Paper›PMID 28290581›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2017

Deconvolution of heterogeneous wound tissue samples into relative macrophage phenotype composition via models based on gene expression.

Nicole M Ferraro, Will Dampier, Michael S Weingarten, Kara L Spiller

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Emerging roles of lactate in acute and chronic inflammation.Cell communication and signaling : CCS · 2024
    Review
  2. Article
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  5. A Review of Recent Developments in the Molecular Mechanisms of Bone Healing.International journal of molecular sciences · 2021
    Review
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  7. Article
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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

4 authors.

Nicole M FerraroSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA. spiller@drexel.edu.
Will Dampier
Michael S Weingarten
Kara L Spiller

Funding

Understanding and Controlling Macrophage Behavior in AngiogenesisR01HL130037 · NHLBI · DREXEL UNIVERSITY · PI SPILLER, KARA LORRAINE · 2016 to 2024
$4.7M
NHLBI NIH HHS R01 HL130037
6 · The paper itself

Abstract

Macrophages, the primary cell of the innate immune system, act on a spectrum of phenotypes that correspond to diverse functions. Dysregulation of macrophage phenotype is associated with many diseases. In particular, defective transition from pro-inflammatory (M1) to anti-inflammatory (M2) behavior has been implicated as a potential source of sustained inflammation that prevents healing of chronic wounds such as diabetic ulcers. In order to design effective treatments, an understanding of the relative presence of macrophage phenotypes during tissue repair is necessary. Inferring the relative phenotype composition is currently challenging due to the heterogeneous nature of the macrophages themselves and also of tissue samples. We propose here a method to deconvolute gene expression from heterogeneous tissue samples into the composition of two primary macrophage phenotypes (M1 and M2). Our final method uses gene expression signatures for each phenotype cultivated in vitro as input to a predictive model that infers sample composition with an average error of 0.16, and whose predictions fit known compositions prepared in vitro with an R

Indexed as

Cell Culture TechniquesGene Expression RegulationWound HealingAgedDiabetes ComplicationsFemaleGene Expression ProfilingHumansImmunity, InnateInflammationMacrophagesMaleMiddle AgedPhenotypeRegression AnalysisSequence Analysis, RNA

Identifiers

PMID28290581
PMCPMC5719501

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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.