Evidence map›Paper›PMID 1971419›Full record

ArticleMolecular and cellular biology1990

Epidermal growth factor receptor cytoplasmic domain mutations trigger ligand-independent transformation.

S Massoglia, A Gray, T J Dull, S Munemitsu, H J Kun, J Schlessinger, A Ullrich

Open access · greenAbstract read
In one paragraph

Article in Molecular and cellular biology, 1990. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  8. EGF receptor in neoplasia and metastasis.Cancer metastasis reviews · 1993
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

S MassogliaDepartment of Developmental Biology, Genentech, Inc., South San Francisco, California 94080.
A Gray
T J Dull
S Munemitsu
H J Kun
J Schlessinger
A Ullrich

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transforming gene product of avian erythroblastosis virus, v-erbB, is derived from the epidermal growth factor (EGF) receptor but has lost its extracellular ligand-binding domain and was mutated in its cytoplasmic portion, which is thought to be responsible for biological signal generation. We have repaired the deletion of extracellular EGF-binding sequences and investigated the functional consequences of cytoplasmic erbB mutations. Within the resulting EGF receptors, the autophosphorylation activities of the cytoplasmic domains of v-erbB-H and v-erbB-ES4 were fully ligand dependent in intact cells. However, the mitogenic and transforming signaling activities of an EGF receptor carrying v-erbB-ES4 (but not v-erbB-H) cytoplasmic sequences remained ligand independent, whereas those of a receptor with a v-erbB-H cytoplasmic domain were regulated by EGF or transforming growth factor alpha. Thus, structural alterations in the cytoplasmic domain of growth factor receptor tyrosine kinases may induce constitutive signaling activity without autophosphorylation. These findings provide new insight into the mechanism of receptor-mediated signal transduction and suggest a novel alternative for subversion of cellular control mechanisms and proto-oncogene activation.

Indexed as

Cell Transformation, NeoplasticMutationAlpharetrovirusAnimalsAvian Leukosis VirusCell DivisionCells, CulturedChimeraCytoplasmErbB ReceptorsLigandsMiceOncogene Proteins v-erbBOncogene Proteins, ViralPhosphorylationPlasmidsErbB ReceptorsLigandsOncogene Proteins v-erbBOncogene Proteins, ViralRetroviridae Proteins, Oncogenic

Identifiers

PMID1971419
PMCPMC360669
OpenAlexW1880089880

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.