Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 510

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A three-hybrid system to detect RNA-protein interactions in vivo.

Open access
SenGupta, D J, Zhang, B, Kraemer, B, Pochart, P, Fields, S, Wickens, M·1996·Proceedings of the National Academy of Sciences

Abstract

RNA-protein interactions are pivotal in fundamental cellular processes such as translation, mRNA processing, early development, and infection by RNA viruses. However, in spite of the central importance of these interactions, few approaches are available to analyze them rapidly in vivo. We describe a yeast genetic method to detect and analyze RNA-protein interactions in which the binding of a bifunctional RNA to each of two hybrid proteins activates transcription of a reporter gene in vivo. We demonstrate that this three-hybrid system enables the rapid, phenotypic detection of specific RNA-protein interactions. As examples, we use the binding of the iron regulatory protein 1 (IRP1) to the iron response element (IRE), and of HIV trans-activator protein (Tat) to the HIV trans-activation response element (TAR) RNA sequence. The three-hybrid assay we describe relies only on the physical properties of the RNA and protein, and not on their natural biological activities; as a result, it may have broad application in the identification of RNA-binding proteins and RNAs, as well as in the detailed analysis of their interactions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.93.16.8496

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 510

Metadata

Authors
SenGupta, D. J., Zhang, B., Kraemer, B., Pochart, P., Fields, S., & Wickens, M.
Venue
Proceedings of the National Academy of Sciences
Published
1996-08-06
Volume
93
Issue
16
Pages
8496-8501
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2052108496
Cited by
510
References
2
FWCI
10.27
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A three-hybrid system to detect RNA-protein interactions in vivo. https://app.cochat.ai/papers/10.1073/pnas.93.16.8496
The paper
SenGupta, D. J., Zhang, B., Kraemer, B., Pochart, P., Fields, S., & Wickens, M. (1996). A three-hybrid system to detect RNA-protein interactions in vivo. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.93.16.8496

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.