ArticleSTAR protocols2021
Transcriptional analysis of mouse wounds grafted with human mesenchymal stem cells and platelets.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Platelet preparations are commonly used in the clinic in combination with mesenchymal stem cells (MSCs) to improve their wound healing capacity and optimize their therapeutic efficacy following their delivery into diseased tissues. To investigate the mechanisms by which platelets enhance the repair properties of MSCs, we detail a protocol using a humanized mouse model for excisional wounds to study by reverse transcription real-time PCR whether human platelets alter the therapeutic efficacy of grafted human MSCs. For complete details on the use and execution of this protocol, please refer to Levoux et al. (2021).
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Registered trials
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.