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Cited by 1,172

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Nerve Growth Factor-Induced Gene Encodes a Possible Transcriptional Regulatory Factor

Milbrandt, Jeffrey·1987·Science

Abstract

Nerve growth factor (NGF) is a trophic agent that promotes the outgrowth of nerve fibers from sympathetic and sensory ganglia. The neuronal differentiation stimulated by this hormone was examined in the NGF-responsive cell line PC12. Differential hybridization was used to screen a complementary DNA library constructed from PC12 cells treated with NGF and cycloheximide. One of the complementary DNA clones that was rapidly induced by NGF was found to have a nucleotide sequence that predicts a 54-kilodalton protein with homology to transcriptional regulatory proteins. This clone, NGFI-A, contains three tandemly repeated copies of the 28- to 30-amino acid "zinc finger" domain present in Xenopus laevis TFIIIA and other DNA-binding proteins. It also contains another highly conserved unit of eight amino acids that is repeated at least 11 times. The NGFI-A gene is expressed at relatively high levels in the brain, lung, and superior cervical ganglion of the adult rat.

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Crossref · 10.1126/science.3672127

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Metadata

Authors
Milbrandt, J.
Venue
Science
Published
1987-11-06
Volume
238
Issue
4828
Pages
797-799
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1984767179
Cited by
1,172
References
1
FWCI
17.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Nerve Growth Factor-Induced Gene Encodes a Possible Transcriptional Regulatory Factor. https://app.cochat.ai/papers/10.1126/science.3672127
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Milbrandt, J. (1987). A Nerve Growth Factor-Induced Gene Encodes a Possible Transcriptional Regulatory Factor. Science. https://doi.org/10.1126/science.3672127

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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.