ArticleGenome research2025
MPRAbase a Massively Parallel Reporter Assay database.
Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Uniform processing and analysis of IGVF massively parallel reporter assay data with MPRAsnakeflow.Genome research · 2026Article
- Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems.Advanced drug delivery reviews · 2026Review
- Massively parallel reporter assay-informed modeling improves prediction of context-specific enhancer-gene regulatory interactions.Nucleic acids research · 2026Article
- Silencer variants are key drivers of gene up-regulation in Alzheimer's disease.Science advances · 2026Article
- FAVOR 2.0: A reengineered functional annotation of variants online resource for interpreting genomic variation.Nucleic acids research · 2026Article
- ClinMAVE: a curated database for clinical application of data from multiplexed assays of variant effect.Nucleic acids research · 2026Article
- Applications of high-throughput reporter assays to gene regulation studies.Current opinion in structural biology · 2025Review
- Programming human cell type-specific gene expression via an atlas of AI-designed enhancers.bioRxiv : the preprint server for biology · 2025Article
- Uniform processing and analysis of IGVF massively parallel reporter assay data with MPRAsnakeflow.bioRxiv : the preprint server for biology · 2025Article
- Decoding biology with massively parallel reporter assays and machine learning.Genes & development · 2024Review
- MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variants.Bioinformatics (Oxford, England) · 2024Article
- MPRAVarDB: an online database and web server for exploring regulatory effects of genetic variants.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
- Update of
Authors and funding
10 authors.
Funding
Abstract
Massively parallel reporter assays (MPRAs) represent a set of high-throughput technologies that measure the functional effects of thousands of sequences/variants on gene regulatory activity. There are several different variations of MPRA technology and they are used for numerous applications, including regulatory element discovery, variant effect measurement, saturation mutagenesis, synthetic regulatory element generation or characterization of evolutionary gene regulatory differences. Despite their many designs and uses, there is no comprehensive database that incorporates the results of these experiments. To address this, we developed MPRAbase, a manually curated database that currently harbors 130 experiments, encompassing 17,718,677 elements tested across 35 cell types and 4 organisms. The MPRAbase web interface serves as a centralized user-friendly repository to examine online the activity of regulatory elements across cell types and organisms, and to download MPRA data for independent analysis.
Identifiers
40262894What 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.