Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 377

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Generation and degradation of human endostatin proteins by various proteinases

Ferreras, Mercedes, Felbor, Ute, Lenhard, Thomas, Olsen, Bjorn R., Delaissé, Jean-Marie·2000·FEBS Letters

Abstract

The angiogenesis inhibitor endostatin is a fragment of the NC1 domain of collagen XVIII. The generation of endostatin has been investigated only in murine hemangioendothelioma cell cultures and was ascribed to cathepsin L. Distinct endostatin‐like fragments were detected in human tissues and serum. To identify proteinases able to generate such fragments, we incubated human NC1 with proteinases of all classes, including cathepsin L. Eleven out of 12 generate fragments with an N‐terminus within the same 15 residue stretch as those occurring physiologically, indicating that this region is sensitive to many proteinases. None correspond to mouse endostatin. However, the efficiencies of these proteinases differed markedly. Some proteinases also proved to degrade endostatin, pointing to another regulatory loop of angiogenesis.

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 · 10.1016/s0014-5793(00)02249-3

Cites

30 of 30 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 30 references

Cited by

See all 377

Metadata

Authors
Ferreras, M., Felbor, U., Lenhard, T., Olsen, B. R., & Delaissé, J.-M.
Venue
FEBS Letters
Publisher
Wiley
Published
2000-12-12
Volume
486
Issue
3
Pages
247-251
ISSN
  • 0014-5793 (ISSN-L)
  • 1873-3468
OpenAlex
W2058873146
Cited by
377
References
30
FWCI
3.94
Type
journal article
Language
en
Open access
closed

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: Generation and degradation of human endostatin proteins by various proteinases. https://app.cochat.ai/papers/10.1016/s0014-5793(00)02249-3
The paper
Ferreras, M., Felbor, U., Lenhard, T., Olsen, B. R., & Delaissé, J.-M. (2000). Generation and degradation of human endostatin proteins by various proteinases. FEBS Letters. https://doi.org/10.1016/s0014-5793(00)02249-3

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.