ArticleMethods in molecular biology (Clifton, N.J.)2025
DeLTa-Seq: High-Throughput Targeted RNA-Seq of Rice Leaves Without RNA Purification.
Article in Methods in molecular biology (Clifton, N.J.), 2025. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DeLTa-seq is a high-throughput RNA-seq library preparation method that enables quantification of the expression of hundreds of arbitrarily selected genes without RNA purification. This method involves direct reverse transcription using rice leaf lysate and targeted RNA-seq library preparation. DeLTa-seq enables the precise quantification of gene expression with a small number of sequencing reads. This chapter provides detailed information on the design of gene-specific primers, sampling of rice leaves, preparation of lysates, direct-lysate reverse transcription, targeted RNA-seq library preparation, and bioinformatic analysis of DeLTa-seq data.
Indexed as
Identifiers
39499472What 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.