ReviewWiley interdisciplinary reviews. RNA
Toward Mapping Spatiotemporally Resolved Transcriptomes and RNA-Protein Interactions.
Review in Wiley interdisciplinary reviews. RNA. 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.
- Toward Mapping Spatiotemporally Resolved Transcriptomes and RNA-Protein Interactions.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
RNAs navigate highly regulated life cycles that include synthesis, processing, ribonucleoprotein complex formation, localization, and degradation. However, most transcriptome-wide methods capture static, cell-wide averages that obscure the spatiotemporal aspects-where and when-of RNA life. Here we review recent advances that bring spatial and temporal resolution to transcriptome and RNA-protein interaction analyses by labeling RNA either in defined subcellular locales (RNA proximity labeling) or during defined transcriptional time windows to capture the kinetics of RNA synthesis, degradation, and processing (RNA metabolic labeling). We further discuss how RNA labeling approaches can be integrated with RNA-protein interaction mapping, opening new possibilities for studying ribonucleoprotein dynamics in space and time. Finally, we highlight emerging developments and outline future directions for spatiotemporal analysis of the RNA life cycle.
Indexed as
Identifiers
What 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.