Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 502

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Systematic Analysis of Human Protein Complexes Identifies Chromosome Segregation Proteins

Open access
Hutchins, James R. A., Toyoda, Yusuke, Hegemann, Björn, Poser, Ina, Hériché, Jean-Karim, Sykora, Martina M., Augsburg, Martina, Hudecz, Otto, Buschhorn, Bettina A., Bulkescher, Jutta, Conrad, Christian, Comartin, David, Schleiffer, Alexander, Sarov, Mihail, Pozniakovsky, Andrei, Slabicki, Mikolaj Michal, Schloissnig, Siegfried, Steinmacher, Ines, Leuschner, Marit, Ssykor, Andrea, Lawo, Steffen, Pelletier, Laurence, Stark, Holger, Nasmyth, Kim, Ellenberg, Jan, Durbin, Richard, Buchholz, Frank, Mechtler, Karl, Hyman, Anthony A., Peters, Jan-Michael·2010·Science

Abstract

Division Machinery Tagged: An international consortium of labs has been testing the feasibility of large-scale screening for insights into the function of mammalian proteins by expressing a tagged version of proteins from bacterial artificial chromosomes harbored in mammalian cells. Depending on the tag used, Hutchins et al. (p. 593 , published online 1 April) were able to monitor localization of tagged proteins by microscopy or to isolate interacting proteins and subsequently identify the binding partners by mass spectrometry. Applying the technology to proteins implicated in control of cell division revealed about 100 protein machines required for mitosis.

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 · 10.1126/science.1181348

Cites

28 of 28 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 28 references

Cited by

See all 502

Metadata

Authors
Hutchins, J. R. A., Toyoda, Y., Hegemann, B., Poser, I., Hériché, J.-K., Sykora, M. M., Augsburg, M., Hudecz, O., Buschhorn, B. A., Bulkescher, J., Conrad, C., Comartin, D., Schleiffer, A., Sarov, M., Pozniakovsky, A., Slabicki, M. M., Schloissnig, S., Steinmacher, I., Leuschner, M., Ssykor, A., Lawo, S., Pelletier, L., Stark, H., Nasmyth, K., Ellenberg, J., Durbin, R., Buchholz, F., Mechtler, K., Hyman, A. A., & Peters, J.-M.
Venue
Science
Published
2010-04-30
Volume
328
Issue
5978
Pages
593-599
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1990786456
Cited by
502
References
28
FWCI
24.05
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: Systematic Analysis of Human Protein Complexes Identifies Chromosome Segregation Proteins. https://app.cochat.ai/papers/10.1126/science.1181348
The paper
Hutchins, J. R. A., Toyoda, Y., Hegemann, B., Poser, I., Hériché, J.-K., Sykora, M. M., Augsburg, M., Hudecz, O., Buschhorn, B. A., Bulkescher, J., Conrad, C., Comartin, D., Schleiffer, A., Sarov, M., Pozniakovsky, A., Slabicki, M. M., Schloissnig, S., Steinmacher, I., Leuschner, M., . . . Peters, J.-M. (2010). Systematic Analysis of Human Protein Complexes Identifies Chromosome Segregation Proteins. Science. https://doi.org/10.1126/science.1181348

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.