ArticleMethods in molecular biology (Clifton, N.J.)2026
Quantitative Analysis of Embryo Gene Expression by Real-Time PCR.
Article in Methods in molecular biology (Clifton, N.J.), 2026. 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.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Quantitative real-time PCR (RT-qPCR) is a powerful and precise tool for analyzing gene expression, particularly suited for studying the embryonic transcriptome. Its high sensitivity enables the detection of low-abundance nucleic acids, which are essential for examining gene expression in early-stage embryos, where cellular diversity and rapid transcriptional changes pose unique challenges. This chapter provides a comprehensive guide to designing and conducting RT-qPCR experiments for preimplantation embryos, with a focus on accurate quantification of messenger RNA (mRNA) levels. The technique's extensive dynamic range, sequence specificity, and reliability make it invaluable for comparing mRNA levels across diverse biological samples and for validating data from other molecular approaches, such as microarrays or next-generation sequencing. This chapter outlines essential steps and considerations for obtaining accurate, reproducible gene expression data in embryonic research.
Indexed as
Identifiers
42681389What OpenQuestion holds
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.