ArticleMethods in molecular biology (Clifton, N.J.)2023
Analysis for Sister Chromatid Exchange.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed, 5 citations in OpenAlex.
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Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sister chromatid exchange (SCE) is the exchange event of genetic material between two identical sister chromatid. Elevation of SCE frequency is considered as a result of replication stress from genetic defects, ROS stress, and genomic damages. SCE staining needs extra processes compared to regular Giemsa staining. Usually two rounds of cell cycle progress are required to observe SCE under microscope. SCE can be visualized with the fluorescence plus Giemsa (FPG) staining method or fluorescence staining methods with immunocytochemistry to BrdU or Click reaction to EdU which provide more clear images of SCE. This chapter will provide the detailed method for the SCE staining and measurement for the traditional FPG staining, BrdU monoclonal antibody staining method, and newly developed EdU Click reaction staining method.
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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.