Evidence map›Paper›PMID 31275166›Full record

ArticleFrontiers in physiology2019

The Evolution of Erythrocytes Becoming Red in Respect to Fluorescence.

Laura Hertz, Sandra Ruppenthal, Greta Simionato, Stephan Quint, Alexander Kihm, Asena Abay, Polina Petkova-Kirova, Ulrich Boehm, Petra Weissgerber, Christian Wagner and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Laura HertzInstitute for Molecular and Cell Biology, Saarland University, Homburg, Germany.
Sandra RuppenthalInstitute for Molecular and Cell Biology, Saarland University, Homburg, Germany.
Greta SimionatoTheoretical Medicine and Biosciences, Saarland University, Homburg, Germany.
Stephan QuintExperimental Physics, Saarland University, Saarbrücken, Germany.
Alexander KihmExperimental Physics, Saarland University, Saarbrücken, Germany.
Asena AbayExperimental Physics, Saarland University, Saarbrücken, Germany.
Polina Petkova-KirovaInstitute for Molecular and Cell Biology, Saarland University, Homburg, Germany.
Ulrich BoehmCenter for Molecular Signaling (PZMS), Institute for Pharmacology, Saarland University, Homburg, Germany.
Petra WeissgerberCenter for Molecular Signaling (PZMS), Institute for Pharmacology, Saarland University, Homburg, Germany.
Christian WagnerExperimental Physics, Saarland University, Saarbrücken, Germany.
Matthias W LaschkeInstitute for Clinical and Experimental Surgery, Saarland University, Homburg, Germany.
Lars KaestnerTheoretical Medicine and Biosciences, Saarland University, Homburg, Germany.
Saarland University · DEUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Very young red blood cells, namely reticulocytes, can be quite easily recognized and labeled by cluster of differentiation antibodies (CD71, transferrin receptor) or by staining remnant RNA with thiazol orange. In contrast, age specific erythrocyte labeling is more difficult in later periods of their life time. While erythrocytes contain band 4.1 protein, a molecular clock, so far it has not been possible to read this clock on individual cells. One concept to track erythrocytes during their life time is to mark them when they are young, either directly

Indexed as

fluorescent proteinimagingintravital microscopymouse modeltransfusion

Identifiers

PMID31275166
PMCPMC6593091
OpenAlexW2951866103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.