The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Positive and negative regulation of endogenous genes by designed transcription factors
Abstract
Gene regulation by imposed localization was studied by using designed zinc finger proteins that bind 18-bp DNA sequences in the 5′ untranslated regions of the protooncogenes erbB-2 and erbB-3 . Transcription factors were generated by fusion of the DNA-binding proteins to repression or activation domains. When introduced into cells these transcription factors acted as dominant repressors or activators of, respectively, endogenous erbB-2 or erbB-3 gene expression. Significantly, imposed regulation of the two genes was highly specific, despite the fact that the transcription factor binding sites targeted in erbB-2 and erbB-3 share 15 of 18 nucleotides. Regulation of erbB-2 gene expression was observed in cells derived from several species that conserve the DNA target sequence. Repression of erbB-2 in SKBR3 breast cancer cells inhibited cell-cycle progression by inducing a G 1 accumulation, suggesting the potential of designed transcription factors for cancer gene therapy. These results demonstrate the willful up- and down-regulation of endogenous genes, and provide an additional means to alter biological systems.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“These two methods have seen use as genetic editing mechanisms, for gene insertion, deletion, and modulation in multiple species and cell lines [93,94,95,96,97].”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [94]
Citations
Cites
Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.
Gossen, M., & Bujard, H. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5547 · Cited by 4,943
Overexpression of the c-erbB-2 protein in human breast tumor cell lines
Hynes, N. E., Gerber, H. A., Saurer, S., & Groner, B. (1989) · Journal of Cellular Biochemistry · doi:10.1002/jcb.240390208 · Cited by 109
Research works printed but not linked: 33
- 10.1038/324429a0 · DOI
- M D Matteucci, R W Wagner Nature (London) 384, 20–22 (1996).
- 10.1038/387202a0 · DOI
- 10.1016/S0960-9822(07)00508-8 · DOI
- 10.1073/pnas.89.16.7345 · DOI
- 10.1073/pnas.91.23.11163 · DOI
- 10.1126/science.8303274 · DOI
- 10.1073/pnas.92.2.344 · DOI
- 10.1126/science.275.5300.657 · DOI
- 10.1073/pnas.96.6.2758 · DOI · Paper page
- 10.1073/pnas.94.11.5525 · DOI · Paper page
- 10.1073/pnas.95.25.14628 · DOI
- N E Hynes, D F Stern Biochim Biophys Acta 1198, 165–184 (1994).
- 10.1073/pnas.90.7.2900 · DOI
- M Alimandi, A Romano, M C Curia, R Muraro, P Fedi, S A Aaronson, P P Di Fiore, M H Kraus Oncogene 10, 1813–1821 (1995).
- 10.1093/emboj/18.8.2149 · DOI
- 10.1016/S0021-9258(18)42160-6 · DOI
- 10.1073/pnas.94.20.10669 · DOI
- 10.1128/MCB.15.3.1182 · DOI
- 10.1073/pnas.96.1.2 · DOI
- 10.1016/S0959-440X(99)80007-4 · DOI
- 10.1073/pnas.91.10.4509 · DOI
- 10.1002/j.1460-2075.1992.tb05603.x · DOI
- 10.1073/pnas.86.23.9193 · DOI
- 10.1073/pnas.87.13.4905 · DOI
- M R White, M C Hung Oncogene 7, 677–683 (1992).
- 10.1038/351588a0 · DOI
- 10.1073/pnas.90.6.2256 · DOI
- 10.1126/science.2885917 · DOI
- 10.1128/mcb.9.3.1165-1172.1989 · DOI
- J Deshane, F Loechel, R M Conry, G P Siegel, C R King, D T Curiel Gene Ther 1, 332–337 (1994).
- J M Daly, C B Jannot, R R Beerli, D Graus-Porta, F G Maurer, N E Hynes Cancer Res 57, 3804–3811 (1997).
- Neve R. M. Sutterluty H. Pullen N. Lane H. A. Daly J. M. Krek W. & Hynes N. E. (2000) Oncogene in press.
Cited by
Sorted by citations
Development and Applications of CRISPR-Cas9 for Genome Engineering
Hsu, P. D., Lander, E. S., & Zhang, F. (2014) · Cell · doi:10.1016/j.cell.2014.05.010 · Cited by 5,762
ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering
Gaj, T., Gersbach, C. A., & Barbas, C. F. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.04.004 · Cited by 3,820
Self-citationGenome-Scale CRISPR-Mediated Control of Gene Repression and Activation
Gilbert, L. A., Horlbeck, M. A., Adamson, B., Villalta, J. E., Chen, Y., Whitehead, E. H., Guimaraes, C., Panning, B., Ploegh, H. L., Bassik, M. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.029 · Cited by 2,728
Improving CRISPR-Cas nuclease specificity using truncated guide RNAs
Fu, Y., Sander, J. D., Reyon, D., Cascio, V. M., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2808 · Cited by 1,993
“The concept of excess affinity affecting the specificity of DNA binding domains has previously been suggested by others for engineered zinc finger proteins 23, 24 .”
BackgroundRNA-guided gene activation by CRISPR-Cas9-based transcription factors
Perez-Pinera, P., Kocak, D. D., Vockley, C. M., Adler, A. F., Kabadi, A. M., Polstein, L. R., Thakore, P. I., Glass, K. A., Ousterout, D. G., Leong, K. W., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2600 · Cited by 1,328
Cas9 as a versatile tool for engineering biology
Mali, P., Esvelt, K. M., & Church, G. M. (2013) · Nature Methods · doi:10.1038/nmeth.2649 · Cited by 1,197
Thakore, P. I., D'Ippolito, A. M., Song, L., Safi, A., Shivakumar, N. K., Kabadi, A. M., Reddy, T. E., Crawford, G. E., & Gersbach, C. A. (2015) · Nature Methods · doi:10.1038/nmeth.3630 · Cited by 1,012
Editing the epigenome: technologies for programmable transcription and epigenetic modulation
Thakore, P. I., Black, J. B., Hilton, I. B., & Gersbach, C. A. (2016) · Nature Methods · doi:10.1038/nmeth.3733 · Cited by 451
Loureiro, A., & da Silva, G. J. (2019) · Antibiotics · doi:10.3390/antibiotics8010018 · Cited by 129
Targeting Serous Epithelial Ovarian Cancer with Designer Zinc Finger Transcription Factors
Lara, H., Wang, Y., Beltran, A. S., Juárez-Moreno, K., Yuan, X., Kato, S., Leisewitz, A. V., Cuello Fredes, M., Licea, A. F., Connolly, D. C., et al. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.360768 · Cited by 42
Metadata
- Authors
- Beerli, R. R., Dreier, B., & Barbas, C. F.
- Affiliations
- The Skaggs Institute for Chemical Biology and the Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2000-01-31
- Volume
- 97
- Issue
- 4
- Pages
- 1495-1500
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 305
- References
- 2
- Language
- en
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
