Evidence map›Paper›PMID 34123093›Full record

ArticleChemical science2020

High-content and high-throughput identification of macrophage polarization phenotypes.

Yingying Geng, Joseph Hardie, Ryan F Landis, Javier A Mas-Rosario, Aritra Nath Chattopadhyay, Puspam Keshri, Jiadi Sun, Erik M Rizzo, Sanjana Gopalakrishnan, Michelle E Farkas and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

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  7. Development of molecular sensors based on fluorescent proteins for polarized macrophages identification.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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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

11 authors at 1 institution in 1 country.

Yingying GengMolecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA farkas@chem.umass.edu rotello@chem.umass.edu.
Joseph HardieDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Ryan F LandisDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Javier A Mas-RosarioMolecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA farkas@chem.umass.edu rotello@chem.umass.edu.
Aritra Nath ChattopadhyayDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Puspam KeshriDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Jiadi SunDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Erik M RizzoDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Sanjana GopalakrishnanDepartment of Chemistry, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA.
Michelle E FarkasMolecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA farkas@chem.umass.edu rotello@chem.umass.edu.ORCID https://orcid.org/0000-0001-5824-1243
Vincent M RotelloMolecular and Cellular Biology Program, University of Massachusetts Amherst 710 N. Pleasant St. Amherst MA 01003 USA farkas@chem.umass.edu rotello@chem.umass.edu.ORCID https://orcid.org/0000-0002-5184-5439
Amherst College · US

Funding

CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAINING GRANTST32GM008515 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI THOMPSON, LYNMARIE K. · 1995 to 2020
$4.3M
Rapid Multi-Channel Serum Profiling for Liver Disease using Fluorescent NanosensorsR01DK121351 · NIDDK · UNIVERSITY OF MASSACHUSETTS AMHERST · PI VINCENT M. ROTELLO · 2020 to 2026
$3.1M
Targeting of Bio-orthogonal Chemotherapeutic Nanozymes to Tumor-Associated MacrophagesR01EB022641 · NIBIB · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ROTELLO, VINCENT M. · 2017 to 2024
$3.0M
NIBIB NIH HHS R01 EB022641NIDDK NIH HHS R01 DK121351NIGMS NIH HHS T32 GM008515
6 · The paper itself

Abstract

Macrophages are plastic cells of the innate immune system that perform a wide range of immune- and homeostasis-related functions. Due to their plasticity, macrophages can polarize into a spectrum of activated phenotypes. Rapid identification of macrophage polarization states provides valuable information for drug discovery, toxicological screening, and immunotherapy evaluation. The complexity associated with macrophage activation limits the ability of current biomarker-based methods to rapidly identify unique activation states. In this study, we demonstrate the ability of a 2-element sensor array that provides an information-rich 5-channel output to successfully determine macrophage polarization phenotypes in a matter of minutes. The simple and robust sensor generates a high dimensional data array which enables accurate macrophage evaluations in standard cell lines and primary cells after cytokine treatment, as well as following exposure to a model disease environment.

Identifiers

PMID34123093
PMCPMC8163325
OpenAlexW3045382720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.