Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,225

The DOI matches its Crossref record.

Tat-mediated delivery of heterologous proteins into cells.

Open access
Fawell, S, Seery, J, Daikh, Y, Moore, C, Chen, L L, Pepinsky, B, Barsoum, J·1994·Proceedings of the National Academy of Sciences

Abstract

The Tat protein of human immunodeficiency virus 1 (HIV-1) can enter cells efficiently when added exogenously in tissue culture. To assess if Tat can carry other molecules into cells, we chemically cross-linked Tat peptides (residues 1-72 or 37-72) to beta-galactosidase, horseradish peroxidase, RNase A, and domain III of Pseudomonas exotoxin A (PE) and monitored uptake colorimetrically or by cytotoxicity. The Tat chimeras were effective on all cell types tested, with staining showing uptake into all cells in each experiment. In mice, treatment with Tat-beta-galactosidase chimeras resulted in delivery to several tissues, with high levels in heart, liver, and spleen, low-to-moderate levels in lung and skeletal muscle, and little or no activity in kidney and brain. The primary target within these tissues was the cells surrounding the blood vessels, suggesting endothelial cells, Kupffer cells, and/or splenic macrophages. Tat-mediated uptake may allow the therapeutic delivery of macromolecules previously thought to be impermeable to living cells.

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.91.2.664

Cites

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

Cited by

See all 1,225

Metadata

Authors
Fawell, S., Seery, J., Daikh, Y., Moore, C., Chen, L. L., Pepinsky, B., & Barsoum, J.
Venue
Proceedings of the National Academy of Sciences
Published
1994-01-18
Volume
91
Issue
2
Pages
664-668
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2001582257
Cited by
1,225
References
0
FWCI
3.55
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: Tat-mediated delivery of heterologous proteins into cells. https://app.cochat.ai/papers/10.1073/pnas.91.2.664
The paper
Fawell, S., Seery, J., Daikh, Y., Moore, C., Chen, L. L., Pepinsky, B., & Barsoum, J. (1994). Tat-mediated delivery of heterologous proteins into cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.91.2.664

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.