ArticleSTAR protocols2021
Synthesis and application of POLYseq for profiling human liver organoids.
Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Detailed herein is the protocol for synthesis, characterization, and application of POLYseq for cell pooling in single-cell sequencing runs. POLYseq is synthesized through commercially available reagents and is highly tailorable. Synthesis is easily performed in a two-step protocol, utilizing Michael addition only requiring a temperature-stable hot bath capable of holding 90°C. However, care must be taken when mixing reagents for synthesis, as the final product is sensitive to initial mixing ratios of POLYseq reagents. For complete details on the use and execution of this protocol, please refer to Dunn 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.