Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 676

The DOI matches its Crossref record.

Antisense RNA Inactivation of Myosin Heavy Chain Gene Expression in Dictyostelium discoideum

Knecht, David A., Loomis, William F.·1987·Science

Abstract

The role of myosin in the contraction of striated muscle cells is well known, but its importance in nonmuscle cells is not yet clear. The function of myosin in Dictyostelium discoideum has been investigated by isolating cells which specifically lack myosin heavy chain (MHC A) protein. Cells were transformed with a vector encoding RNA complementary to mhcA messenger RNA (antisense RNA). Stable transformants have a dramatic reduction in the amount of MHC A protein, grow slowly, and generate giant multinucleated progeny, indicating an impairment in cytokinesis. Surprisingly, the cells adhere to surfaces, extend pseudopods and are capable of ameboid locomotion. The developmental sequence that is initiated by starving cells is severely impaired by the lack of myosin. The cells are unable to form multicellular aggregates normally and do not undergo subsequent morphogenesis. By changing the food source from liquid medium to bacteria, expression of the endogenous mhcA messenger RNA can be increased relative to expression of antisense RNA. When grown in this way, the transformed cells accumulate MHC A protein, remain mononucleate, and proceed through development normally.

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.3576221

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 676

Metadata

Authors
Knecht, D. A., & Loomis, W. F.
Venue
Science
Published
1987-05-29
Volume
236
Issue
4805
Pages
1081-1086
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2009623058
Cited by
676
References
0
FWCI
66.67
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: Antisense RNA Inactivation of Myosin Heavy Chain Gene Expression in Dictyostelium discoideum. https://app.cochat.ai/papers/10.1126/science.3576221
The paper
Knecht, D. A., & Loomis, W. F. (1987). Antisense RNA Inactivation of Myosin Heavy Chain Gene Expression in Dictyostelium discoideum. Science. https://doi.org/10.1126/science.3576221

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.