The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Corynebacterium glutamicum Metabolic Engineering with CRISPR Interference (CRISPRi)
Open accessAbstract
Corynebacterium glutamicum is an important organism for the industrial production of amino acids. Metabolic pathways in this organism are usually engineered by conventional methods such as homologous recombination, which depends on rare double-crossover events. To facilitate the mapping of gene expression levels to metabolic outputs, we applied CRISPR interference (CRISPRi) technology using deactivated Cas9 (dCas9) to repress genes in C. glutamicum. We then determined the effects of target repression on amino acid titers. Single-guide RNAs directing dCas9 to specific targets reduced expression of pgi and pck up to 98%, and of pyk up to 97%, resulting in titer enhancement ratios of l-lysine and l-glutamate production comparable to levels achieved by gene deletion. This approach for C. glutamicum metabolic engineering, which only requires 3 days, indicates that CRISPRi can be used for quick and efficient metabolic pathway remodeling without the need for gene deletions or mutations and subsequent 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
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
Repurposing CRISPR as an RNA-Guided Platform for Sequence-Specific Control of Gene Expression
Qi, L. S., Larson, M. H., Gilbert, L. A., Doudna, J. A., Weissman, J. S., Arkin, A. P., & Lim, W. A. (2013) · Cell · doi:10.1016/j.cell.2013.02.022 · Cited by 5,016
CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes
Gilbert, L. A., Larson, M. H., Morsut, L., Liu, Z., Brar, G. A., Torres, S. E., Stern-Ginossar, N., Brandman, O., Whitehead, E. H., Doudna, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.06.044 · Cited by 3,696
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153
RNA-guided editing of bacterial genomes using CRISPR-Cas systems
Jiang, W., Bikard, D., Cox, D., Zhang, F., & Marraffini, L. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2508 · Cited by 2,429
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
Cited by
Application of different types of CRISPR/Cas-based systems in bacteria
Liu, Z., Dong, H., Cui, Y., Cong, L., & Zhang, D. (2020) · Microbial Cell Factories · doi:10.1186/s12934-020-01431-z · Cited by 185
Huang, C.-H., Shen, C. R., Li, H., Sung, L.-Y., Wu, M.-Y., & Hu, Y.-C. (2016) · Microbial Cell Factories · doi:10.1186/s12934-016-0595-3 · Cited by 164
Transcriptional regulation with CRISPR-Cas9: principles, advances, and applications
Didovyk, A., Borek, B., Tsimring, L., & Hasty, J. (2016) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2016.06.003 · Cited by 90
A single plasmid based CRISPR interference in Synechocystis 6803 – A proof of concept
Kirtania, P., Hódi, B., Mallick, I., Vass, I. Z., Fehér, T., Vass, I., & Kós, P. B. (2019) · PLOS ONE · doi:10.1371/journal.pone.0225375 · Cited by 22
Metadata
- Authors
- Cleto, S., Jensen, J. V., Wendisch, V. F., & Lu, T. K.
- Venue
- ACS Synthetic Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-02-16
- Volume
- 5
- Issue
- 5
- Pages
- 375-385
- ISSN
- 2161-5063 (ISSN-L)
- OpenAlex
- W2282184745
- Cited by
- 262
- References
- 6
- FWCI
- 16.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
