The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Retroviral DNA Integration: ASLV, HIV, and MLV Show Distinct Target Site Preferences
Open accessAbstract
The completion of the human genome sequence has made possible genome-wide studies of retroviral DNA integration. Here we report an analysis of 3,127 integration site sequences from human cells. We compared retroviral vectors derived from human immunodeficiency virus (HIV), avian sarcoma-leukosis virus (ASLV), and murine leukemia virus (MLV). Effects of gene activity on integration targeting were assessed by transcriptional profiling of infected cells. Integration by HIV vectors, analyzed in two primary cell types and several cell lines, strongly favored active genes. An analysis of the effects of tissue-specific transcription showed that it resulted in tissue-specific integration targeting by HIV, though the effect was quantitatively modest. Chromosomal regions rich in expressed genes were favored for HIV integration, but these regions were found to be interleaved with unfavorable regions at CpG islands. MLV vectors showed a strong bias in favor of integration near transcription start sites, as reported previously. ASLV vectors showed only a weak preference for active genes and no preference for transcription start regions. Thus, each of the three retroviruses studied showed unique integration site preferences, suggesting that virus-specific binding of integration complexes to chromatin features likely guides site selection.
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.
Integrity signals
Registry
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.
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
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
In Vivo Gene Delivery and Stable Transduction of Nondividing Cells by a Lentiviral Vector
Naldini, L., Blömer, U., Gallay, P., Ory, D., Mulligan, R., Gage, F. H., Verma, I. M., & Trono, D. (1996) · Science · doi:10.1126/science.272.5259.263 · Cited by 4,903
A serious adverse event after successful gene therapy for X-linked severe combined immunodeficiency
Hacein-Bey-Abina, S., von Kalle, C., Schmidt, M., Le Deist, F., Wulffraat, N., McIntyre, E., Radford, I., Villeval, J.-L., Fraser, C. C., Cavazzana-Calvo, M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejm200301163480314 · Cited by 1,867
HIV-1 Integration in the Human Genome Favors Active Genes and Local Hotspots
Schröder, A. R. W., Shinn, P., Chen, H., Berry, C., Ecker, J. R., & Bushman, F. (2002) · Cell · doi:10.1016/s0092-8674(02)00864-4 · Cited by 1,832
Self-citationTranscription Start Regions in the Human Genome Are Favored Targets for MLV Integration
Wu, X., Li, Y., Crise, B., & Burgess, S. M. (2003) · Science · doi:10.1126/science.1083413 · Cited by 1,305
Cawley, S., Bekiranov, S., Ng, H. H., Kapranov, P., Sekinger, E. A., Kampa, D., Piccolboni, A., Sementchenko, V., Cheng, J., Williams, A. J., et al. (2004) · Cell · doi:10.1016/s0092-8674(04)00127-8 · Cited by 1,095
Cited by
Function and information content of DNA methylation
Schübeler, D. (2015) · Nature · doi:10.1038/nature14192 · Cited by 2,060
Insertional oncogenesis in 4 patients after retrovirus-mediated gene therapy of SCID-X1
Hacein-Bey-Abina, S., Garrigue, A., Wang, G. P., Soulier, J., Lim, A., Morillon, E., Clappier, E., Caccavelli, L., Delabesse, E., Beldjord, K., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci35700 · Cited by 1,854
Self-citationRecent advances and discoveries in the mechanisms and functions of CAR T cells
Larson, R. C., & Maus, M. V. (2021) · Nature Reviews Cancer · doi:10.1038/s41568-020-00323-z · Cited by 852
Proliferation of cells with HIV integrated into cancer genes contributes to persistent infection
Wagner, T. A., McLaughlin, S., Garg, K., Cheung, C. Y. K., Larsen, B. B., Styrchak, S., Huang, H. C., Edlefsen, P. T., Mullins, J. I., & Frenkel, L. M. (2014) · Science · doi:10.1126/science.1256304 · Cited by 677
A role for LEDGF/p75 in targeting HIV DNA integration
Ciuffi, A., Llano, M., Poeschla, E., Hoffmann, C., Leipzig, J., Shinn, P., Ecker, J. R., & Bushman, F. (2005) · Nature Medicine · doi:10.1038/nm1329 · Cited by 658
Self-citation
Metadata
- Authors
- Mitchell, R. S., Beitzel, B. F., Schroder, A. R. W., Shinn, P., Chen, H., Berry, C. C., Ecker, J. R., & Bushman, F. D.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2004-08-17
- Volume
- 2
- Issue
- 8
- Pages
- e234
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2046156611
- Cited by
- 976
- References
- 6
- FWCI
- 34.35
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.