The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
CRISPR interference (CRISPRi) for gene regulation and succinate production in cyanobacterium S. elongatus PCC 7942
Open accessAbstract
BACKGROUND: Cyanobacterium Synechococcus elongatus PCC 7942 holds promise for biochemical conversion, but gene deletion in PCC 7942 is time-consuming and may be lethal to cells. CRISPR interference (CRISPRi) is an emerging technology that exploits the catalytically inactive Cas9 (dCas9) and single guide RNA (sgRNA) to repress sequence-specific genes without the need of gene knockout, and is repurposed to rewire metabolic networks in various procaryotic cells. RESULTS: To employ CRISPRi for the manipulation of gene network in PCC 7942, we integrated the cassettes expressing enhanced yellow fluorescent protein (EYFP), dCas9 and sgRNA targeting different regions on eyfp into the PCC 7942 chromosome. Co-expression of dCas9 and sgRNA conferred effective and stable suppression of EYFP production at efficiencies exceeding 99%, without impairing cell growth. We next integrated the dCas9 and sgRNA targeting endogenous genes essential for glycogen accumulation (glgc) and succinate conversion to fumarate (sdhA and sdhB). Transcription levels of glgc, sdhA and sdhB were effectively suppressed with efficiencies depending on the sgRNA binding site. Targeted suppression of glgc reduced the expression to 6.2%, attenuated the glycogen accumulation to 4.8% and significantly enhanced the succinate titer. Targeting sdhA or sdhB also effectively downregulated the gene expression and enhanced the succinate titer ≈12.5-fold to ≈0.58-0.63 mg/L. CONCLUSIONS: These data demonstrated that CRISPRi-mediated gene suppression allowed for re-directing the cellular carbon flow, thus paving a new avenue to rationally fine-tune the metabolic pathways in PCC 7942 for the production of biotechnological products.
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
Figures





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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This approach provides a valuable means for studying gene function and fine-tuning of metabolic pathways without permanent genomic alterations [119,120].”
From Cyanobacteria as a Photosynthetic Chassis for Metabolic Pathway Engineering with Heterologous Gene Expression (2026) · cites this paper as [120]
Experimental — accuracy not yet measured
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
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
RNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210
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
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 · cited 3×
“pyogenes) driven by the PLtetO1 promoter [24].”
BackgroundMethodWang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.04.025 · Cited by 3,495
Ancient DNA and the rewriting of human history: be sparing with Occam’s razor
Haber, M., Mezzavilla, M., Xue, Y., & Tyler-Smith, C. (2016) · Genome Biology · doi:10.1186/s13059-015-0866-z · Cited by 1,924
CRISPR interference (CRISPRi) for sequence-specific control of gene expression
Larson, M. H., Gilbert, L. A., Wang, X., Lim, W. A., Weissman, J. S., & Qi, L. S. (2013) · Nature Protocols · doi:10.1038/nprot.2013.132 · Cited by 1,241
Direct photosynthetic recycling of carbon dioxide to isobutyraldehyde
Atsumi, S., Higashide, W., & Liao, J. C. (2009) · Nature Biotechnology · doi:10.1038/nbt.1586 · Cited by 870
Beyond editing: repurposing CRISPR-Cas9 for precision genome regulation and interrogation
Dominguez, A. A., Lim, W. A., & Qi, L. S. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.2 · Cited by 832 · cited 1×
“This new technology, termed CRISPR interference (CRISPRi), was recently repurposed to repress sequence-specific genes in diverse eucaryotic and procaryotic cells, for rewiring metabolic networks [23, 24] and high-throughput interrogation of genome-wide gene functions [25, 26].”
Method
Cited by
Sorted by citations
Biomass and lipid induction strategies in microalgae for biofuel production and other applications
Alishah Aratboni, H., Rafiei, N., Garcia-Granados, R., Alemzadeh, A., & Morones-Ramírez, J. R. (2019) · Microbial Cell Factories · doi:10.1186/s12934-019-1228-4 · Cited by 437
Minimizing carbon footprint via microalgae as a biological capture
Onyeaka, H. N., Miri, T., Obileke, K. C., Hart, A., Anumudu, C. K., & Al-Sharify, Z. T. (2021) · Carbon Capture Science & Technology · doi:10.1016/j.ccst.2021.100007 · Cited by 345
Recent Developments on Genetic Engineering of Microalgae for Biofuels and Bio‐Based Chemicals
Ng, I., Tan, S., Kao, P., Chang, Y.-K., & Chang, J. (2017) · Biotechnology Journal · doi:10.1002/biot.201600644 · Cited by 257
Kao, P., & Ng, I. (2017) · Bioresource Technology · doi:10.1016/j.biortech.2017.04.111 · Cited by 222
A realistic scenario on microalgae based biodiesel production: Third generation biofuel
Ananthi, V., Raja, R., Carvalho, I. S., Brindhadevi, K., Pugazhendhi, A., & Arun, A. (2020) · Fuel · doi:10.1016/j.fuel.2020.118965 · Cited by 194
Cyanogate: a modular cloning suite for engineering cyanobacteria based on the plant moclo syntax
Vasudevan, R., Gale, G. A. R., Schiavon, A. A., Puzorjov, A., Malin, J., Gillespie, M. D., Vavitsas, K., Zulkower, V., Wang, B., Howe, C. J., et al. (2019) · Plant Physiology · doi:10.1104/pp.18.01401 · Cited by 189
CRISPR-Based Technologies for Metabolic Engineering in Cyanobacteria
Behler, J., Vijay, D., Hess, W. R., & Akhtar, M. K. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.05.011 · Cited by 143
Microalgae-based biotechnological sequestration of carbon dioxide for net zero emissions
Ma, Z., Cheah, W. Y., Ng, I., Chang, J., Zhao, M., & Show, P. L. (2022) · Trends in biotechnology · doi:10.1016/j.tibtech.2022.09.002 · Cited by 138
Ng, I., Keskin, B. B., & Tan, S. (2020) · Biotechnology Journal · doi:10.1002/biot.201900228 · Cited by 135
Synthetic genetic circuits for programmable biological functionalities
Xia, P., Ling, H., Foo, J. L., & Chang, M. W. (2019) · Biotechnology Advances · doi:10.1016/j.biotechadv.2019.04.015 · Cited by 129
Fourth generation biofuel from genetically modified algal biomass: Challenges and future directions.
Shokravi, H., Shokravi, Z., Heidarrezaei, M., Ong, H. C., Rahimian Koloor, S. S., Petrů, M., Lau, W. J., & Ismail, A. F. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.131535 · Cited by 127
Approaches to genetic tool development for rapid domestication of non-model microorganisms
Riley, L. A., & Guss, A. M. (2021) · Biotechnology for Biofuels · doi:10.1186/s13068-020-01872-z · Cited by 136
Kaczmarzyk, D., Cengic, I., Yao, L., & Hudson, E. P. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2017.11.014 · Cited by 120
Toolboxes for cyanobacteria: recent advances and future direction
Sun, T., Li, S., Song, X., Diao, J., Chen, L., & Zhang, W. (2018) · Biotechnology Advances · doi:10.1016/j.biotechadv.2018.04.007 · Cited by 116
Duman‐Özdamar, Z. E., & Bi̇nay, B. (2021) · The Protein Journal · doi:10.1007/s10930-021-09968-7 · Cited by 114
CRISPR/Cas approach: A new way of looking at plant-abiotic interactions
Mushtaq, M., Bhat, J. A., Mir, Z. A., Sakina, A., Ali, S., Singh, A. K., Tyagi, A., Salgotra, R. K., Dar, A. A., & Bhat, R. (2018) · Journal of Plant Physiology · doi:10.1016/j.jplph.2018.04.001 · Cited by 113
Lin, W., Tan, S., Hsiang, C., Sung, P.-K., & Ng, I. (2019) · Bioresource Technology · doi:10.1016/j.biortech.2019.121932 · Cited by 109
Advances and challenges in genetic engineering of microalgae
Fajardo, C., Donato, M. D., Carrasco-Reinado, R., Martı́nez-Rodrı́guez, G., Mancera, J. M., & Fernández‐Acero, F. J. (2019) · Reviews in Aquaculture · doi:10.1111/raq.12322 · Cited by 105
Combining CRISPR and CRISPRi Systems for Metabolic Engineering of E. coli and 1,4-BDO Biosynthesis
Wu, M., Sung, L., Li, H., Huang, C.-H., & Hu, Y. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00251 · Cited by 102
Self-citationBiotechnological perspectives on algae: a viable option for next generation biofuels
Khan, S., & Fu, P. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.09.020 · Cited by 94
Transcription control engineering and applications in synthetic biology
Engstrom, M. D., & Pfleger, B. F. (2017) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2017.09.003 · Cited by 96
Dai, Z., Guo, F., Zhang, S., Zhang, W., Yang, Q., Dong, W., Jiang, M., Ma, J., & Xin, F. (2019) · Biofuels Bioproducts and Biorefining · doi:10.1002/bbb.2063 · Cited by 91
Shabestary, K., Anfelt, J., Ljungqvist, E., Jahn, M., Yao, L., & Hudson, E. P. (2018) · ACS Synthetic Biology · doi:10.1021/acssynbio.8b00056 · Cited by 89
Naduthodi, M. I. S., Südfeld, C., Avitzigiannis, E. K., Trevisan, N., van Lith, E., Sancho, J. A., D’Adamo, S., Barbosa, M. J., & John van der, O. O. S. T. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00329 · Cited by 89
Engineering synergetic CO2-fixing pathways for malate production
Hu, G., Zhou, J., Chen, X., Qian, Y., Gao, C., Guo, L., Xu, P., Chen, W., Chen, J., Li, Y., et al. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.05.007 · Cited by 88
Progress and perspective on cyanobacterial glycogen metabolism engineering
Luan, G., Zhang, S., Wang, M., & Lü, X. (2019) · Biotechnology Advances · doi:10.1016/j.biotechadv.2019.04.005 · Cited by 85
Ten years of algal biofuel and bioproducts: gains and pains
Chen, H., Li, T., & Wang, Q. (2019) · Planta · doi:10.1007/s00425-018-3066-8 · Cited by 85
Hijacking CRISPR-Cas for high-throughput bacterial metabolic engineering: advances and prospects
Mougiakos, I., Bosma, E. F., Ganguly, J., John van der, O. O. S. T., & van Kranenburg, R. (2018) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2018.01.002 · Cited by 83
Recent advances in synthetic biology of cyanobacteria
Sengupta, A., Pakrasi, H. B., & Wangikar, P. P. (2018) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-018-9046-x · Cited by 78
Hasunuma, T., Matsuda, M., Kato, Y., Vavricka, C. J., & Kondo, A. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.05.013 · Cited by 79
Application of the CRISPR/Cas system for genome editing in microalgae
Zhang, Y., Jiang, J., Shi, T., Sun, X., Zhao, Q., Huang, H., & Ren, L. (2019) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-09726-x · Cited by 82
Metabolic engineering tools in model cyanobacteria
Carroll, A. L., Case, A. E., Zhang, A., & Atsumi, S. (2018) · Metabolic Engineering · doi:10.1016/j.ymben.2018.03.014 · Cited by 76
Godbole, V., Pal, M. K., & Gautam, P. (2021) · Algal Research · doi:10.1016/j.algal.2021.102436 · Cited by 77
CRISPR-based metabolic pathway engineering
Zhao, D., Zhu, X., Zhou, H., Sun, N., Wang, T., Bi, C., & Zhang, X. (2020) · Metabolic Engineering · doi:10.1016/j.ymben.2020.10.004 · Cited by 70
Recent advances in domesticating non‐model microorganisms
Fatma, Z., Schultz, J. C., & Zhao, H. (2020) · Biotechnology Progress · doi:10.1002/btpr.3008 · Cited by 69
Ameruoso, A., Kcam, M. C. V., Cohen, K. P., & Chappell, J. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac556 · Cited by 66
Higo, A., Isu, A., Fukaya, Y., Ehira, S., & Hisabori, T. (2017) · Plant and Cell Physiology · doi:10.1093/pcp/pcx166 · Cited by 64
CRISPR interference to interrogate genes that control biofilm formation in Pseudomonas fluorescens
Noirot‐Gros, M., Forrester, S., Malato, G., Larsen, P. E., & Noirot, P. H. (2019) · Scientific Reports · doi:10.1038/s41598-019-52400-5 · Cited by 64
Progress of CRISPR‐Cas Based Genome Editing in Photosynthetic Microbes
Naduthodi, M. I. S., Barbosa, M. J., & John van der, O. O. S. T. (2018) · Biotechnology Journal · doi:10.1002/biot.201700591 · Cited by 64
Transcription factor-based biosensors for screening and dynamic regulation
Tellechea‐Luzardo, J., Stiebritz, M. T., & Carbonell, P. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1118702 · Cited by 64
Emerging Species and Genome Editing Tools: Future Prospects in Cyanobacterial Synthetic Biology
Gale, G. A. R., Schiavon Osorio, A. A., Mills, L. A., Wang, B., Lea-Smith, D. J., & McCormick, A. J. (2019) · Microorganisms · doi:10.3390/microorganisms7100409 · Cited by 61
Knoot, C. J., Biswas, S., & Pakrasi, H. B. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00417 · Cited by 58
Mo, X., Zhang, H., Wang, T., Zhang, C., Zhang, C., Xing, X., & Yang, S. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10543-w · Cited by 59
Synthetic Biology Toolkits for Metabolic Engineering of Cyanobacteria
Xia, P., Ling, H., Foo, J. L., & Chang, M. W. (2019) · Biotechnology Journal · doi:10.1002/biot.201800496 · Cited by 57
Sengupta, A., Pritam, P., Jaiswal, D., Bandyopadhyay, A., Pakrasi, H. B., & Wangikar, P. P. (2020) · Metabolites · doi:10.3390/metabo10060250 · Cited by 53
Regulatory systems for gene expression control in cyanobacteria
Till, P., Toepel, J., Bühler, B., Mach, R. L., & Mach-Aigner, A. R. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-019-10344-w · Cited by 54
Feng, S., Xie, X., Liu, J., Li, A., Wang, Q., Guo, D., Li, S., Li, Y., Wang, Z., Guo, T., et al. (2023) · Journal of Nanobiotechnology · doi:10.1186/s12951-023-02139-z · Cited by 59
Microalgae: A promising source for biofuel production
Tomar, S., Agarwal, S., Singh, H., Kumar, R., Qureshi, K. A., Jaremko, M., Emwas, A.-H. M., & Rai, P. K. (2023) · Biocatalysis and Agricultural Biotechnology · doi:10.1016/j.bcab.2023.102877 · Cited by 56
Cheah, Y. E., Xu, Y., Sacco, S. A., Babele, P. K., Zheng, A. O., Johnson, C. H., & Young, J. D. (2020) · Metabolic Engineering · doi:10.1016/j.ymben.2020.03.007 · Cited by 52
Latest Trends and Developments in Microalgae as Potential Source for Biofuels: The Case of Diatoms
Mourya, M., Khan, M. J., Ahirwar, A., Schoefs, B., Marchand, J., Rai, A., Varjani, S., Rajendran, K., Banu, J. R., & Vinayak, V. (2022) · Fuel · doi:10.1016/j.fuel.2021.122738 · Cited by 52
Recent Progress and Challenges in CRISPR-Cas9 Engineered Algae and Cyanobacteria
Patel, V. K., Das, A., Kumari, R., & Kajla, S. (2023) · Algal Research · doi:10.1016/j.algal.2023.103068 · Cited by 50
NOT Gate Genetic Circuits to Control Gene Expression in Cyanobacteria
Taton, A., Ma, A. T., Ota, M., Golden, S. S., & Golden, J. W. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00203 · Cited by 51
Impact of CRISPR interference on strain development in biotechnology
Schultenkämper, K., Brito, L. F., & Wendisch, V. F. (2020) · Biotechnology and Applied Biochemistry · doi:10.1002/bab.1901 · Cited by 57
Recent advances in synthetic biology of cyanobacteria for improved chemicals production
Wang, F., Gao, Y., & Yang, G. (2020) · Bioengineered · doi:10.1080/21655979.2020.1837458 · Cited by 49
Lee, T., Lin, J., Tsai, T.-H., Yang, R., & Ng, I. (2022) · Bioresource Technology · doi:10.1016/j.biortech.2022.128350 · Cited by 50
Cyanobacteria as cell factories for the photosynthetic production of sucrose
Santos‐Merino, M., Yun, L., & Ducat, D. C. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1126032 · Cited by 51
CRISPR-Based Approaches for Gene Regulation in Non-Model Bacteria
Call, S. N., & Andrews, L. B. (2022) · Frontiers in Genome Editing · doi:10.3389/fgeed.2022.892304 · Cited by 49
Fundamental CRISPR-Cas9 tools and current applications in microbial systems
Tian, P., Wang, J., Shen, X., Rey, J. F., Yuan, Q., & Yan, Y. (2017) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2017.08.006 · Cited by 46
Design rules of synthetic non-coding RNAs in bacteria
Lee, Y. J., & Moon, T. S. (2018) · Methods · doi:10.1016/j.ymeth.2018.01.001 · Cited by 49
Ciebiada, M., Kubiak, K., & Daroch, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197204 · Cited by 45
Pattharaprachayakul, N., Lee, M., Incharoensakdi, A., & Woo, H. M. (2020) · Enzyme and Microbial Technology · doi:10.1016/j.enzmictec.2020.109619 · Cited by 43
Regulatory Tools for Controlling Gene Expression in Cyanobacteria
Gordon, G. C., & Pfleger, B. F. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-0854-3_12 · Cited by 42
Muthukrishnan, L. (2022) · Journal of Basic Microbiology · doi:10.1002/jobm.202100417 · Cited by 41
Liu, D., Johnson, V. M., & Pakrasi, H. B. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00106 · Cited by 38
Genome-scale CRISPRi screening: A powerful tool in engineering microbiology
Sun, L., Zheng, P., Sun, J., Wendisch, V. F., & Wang, Y. (2023) · Engineering Microbiology · doi:10.1016/j.engmic.2023.100089 · Cited by 35
CRISPR‐Enabled Tools for Engineering Microbial Genomes and Phenotypes
Tarasava, K., Oh, E. J., Eckert, C. A., & Gill, R. T. (2018) · Biotechnology Journal · doi:10.1002/biot.201700586 · Cited by 37
Khan, A. Z., Bilal, M., Mehmood, S., Sharma, A. K., & Iqbal, H. M. N. (2019) · Life · doi:10.3390/life9030054 · Cited by 40
Kcam, M. C. V., Tsong, A. J., & Chappell, J. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab211 · Cited by 36
Lai, M. J., Tsai, J. C., & Lan, E. I. (2022) · Bioresource Technology · doi:10.1016/j.biortech.2022.128131 · Cited by 35
Sung, L., Wu, M., Lin, M., Hsu, M., Truong, V. A., Shen, C., Tu, Y., Hwang, K., Tu, A. P., Chang, Y., et al. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26915 · Cited by 34
Self-citationEnhancing Protein Production Yield from Chinese Hamster Ovary Cells by CRISPR Interference
Shen, C., Sung, L., Lin, S.-Y., Lin, M., & Hu, Y. (2017) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00020 · Cited by 33
Self-citationAdvancing biotechnology with CRISPR/Cas9: recent applications and patent landscape
Ferreira, R., David, F., & Nielsen, J. (2018) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-017-2000-6 · Cited by 33
Base editing for reprogramming cyanobacterium Synechococcus elongatus
Wang, S.-Y., Li, X., Wang, S.-G., & Xia, P.-F. (2023) · Metabolic Engineering · doi:10.1016/j.ymben.2022.11.005 · Cited by 31
Tsai, T.-H., Lin, J., & Ng, I. (2021) · Journal of the Taiwan Institute of Chemical Engineers · doi:10.1016/j.jtice.2021.104184 · Cited by 31
Generation of Synthetic Shuttle Vectors Enabling Modular Genetic Engineering of Cyanobacteria
Opel, F., Siebert, N. A., Klatt, S., Tüllinghoff, A., Hantke, J. G., Toepel, J., Bühler, B., Nürnberg, D. J., & Klähn, S. (2022) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00605 · Cited by 30
CRISPRi functional genomics in bacteria and its application to medical and industrial research
Enright, A. L., Heelan, W. J., Ward, R. D., & Peters, J. M. (2024) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00170-22 · Cited by 32
Microalgae for Industrial Purposes
Giordano, M., & Wang, Q. (2017) · Springer eBooks · doi:10.1007/978-3-319-66736-2_6 · Cited by 30
Durall, C., Kukil, K., Hawkes, J. A., Albergati, A., Lindblad, P. C., & Lindberg, P. (2021) · Microbial Cell Factories · doi:10.1186/s12934-021-01529-y · Cited by 29
Customized molecular tools to strengthen metabolic engineering of cyanobacteria
Klähn, S., Opel, F., & Hess, W. R. (2024) · Green Carbon · doi:10.1016/j.greenca.2024.05.002 · Cited by 27
Genetic tool development and systemic regulation in biosynthetic technology
Dai, Z., Zhang, S., Yang, Q., Zhang, W., Qian, X., Dong, W., Jiang, M., & Xin, F. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1153-5 · Cited by 27
Guo, W., Weng, Y., Ma, W., Chang, C., Gao, Y., Huang, X., & Zhang, F. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46100649 · Cited by 29
Building a genome engineering toolbox in nonmodel prokaryotic microbes
Freed, E. F., Fenster, J. A., Smolinski, S. L., Walker, J. E., Henard, C. A., Gill, R. T., & Eckert, C. A. (2018) · Biotechnology and Bioengineering · doi:10.1002/bit.26727 · Cited by 24
Development of a New Biocontainment Strategy in Model Cyanobacterium Synechococcus Strains
Zhou, Y., Sun, T., Chen, Z., Song, X., Chen, L., & Zhang, W. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00282 · Cited by 23
Orthogonal Degron System for Controlled Protein Degradation in Cyanobacteria
Sakkos, J. K., Hernandez-Ortiz, S., Osteryoung, K. W., & Ducat, D. C. (2021) · ACS Synthetic Biology · doi:10.1021/acssynbio.1c00035 · Cited by 21
Microalgal-based sustainable bio-fungicides: a promising solution to enhance crop yield
Bhardwaj, R., Yadav, A., Sahoo, A., Kumari, P., Singh, L. A., Swapnil, P., Meena, M., & Kumar, S. (2025) · Discover Sustainability · doi:10.1007/s43621-025-00795-9 · Cited by 21
Ambily, B., Mol, V. P. L., Sini, H., & Nevin, K. G. (2024) · Journal of Applied Phycology · doi:10.1007/s10811-024-03376-x · Cited by 22
Carbon dioxide capture and utilization using microalgae
Ruiz‐Ruiz, P., Estrada, A., & Morales, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818536-0.00008-7 · Cited by 20
Zulfiqar, M., Singh, V. P., Steinbeck, C., & Sorokina, M. (2024) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2024.2306465 · Cited by 20
Current advances in CRISPR-Cas-mediated gene editing and regulation in cyanobacteria
Dong, Z., Chen, L., Wang, Y., Sun, T., & Zhang, W. (2024) · Blue Biotechnology · doi:10.1186/s44315-024-00009-3 · Cited by 16
Kumar, N., Kar, S., & Shukla, P. (2022) · Bioresource Technology · doi:10.1016/j.biortech.2022.128104 · Cited by 16
Arshad, S., Qadir, M. L., Hussain, N., Ali, Q., Han, S., & Ali, D. (2025) · Functional Plant Biology · doi:10.1071/fp24255 · Cited by 18
Application of CRISPR/Cas System in the Metabolic Engineering of Small Molecules
Singh, R., Chandel, S., Ghosh, A., Dey, D., Chakravarti, R., Roy, S., Ravichandiran, V., & Ghosh, D. (2021) · Molecular Biotechnology · doi:10.1007/s12033-021-00310-1 · Cited by 15
Metabolic Engineering and Synthetic Biology of Cyanobacteria for Carbon Capture and Utilization
Pattharaprachayakul, N., Choi, J., Incharoensakdi, A., & Woo, H. M. (2020) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-019-0447-1 · Cited by 15
Synthetic Biology in Cyanobacteria and Applications for Biotechnology
Hudson, E. P. (2021) · Wiley eBooks · doi:10.1002/9783527824908.ch5 · Cited by 18
Genome Editing: A Tool from the Vault of Science for Engineering Climate-Resilient Cereals
Dilawari, R., Kaur, N., Priyadarshi, N., Kumar, B., Abdelmotelb, K. F., Lal, S. K., Singh, B. P., Tripathi, A., Aggarwal, S. K., Jat, B. S., et al. (2021) · Springer eBooks · doi:10.1007/978-3-030-65912-7_3 · Cited by 14
Du, X., McManus, D. P., French, J. D., Collinson, N., Sivakumaran, H., MacGregor, S. R., Fogarty, C. E., Jones, M. K., & You, H. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1105719 · Cited by 14
CRISPR-Cas mediated genome engineering of cyanobacteria
Sengupta, A., Liu, D., & Pakrasi, H. B. (2022) · Methods in Enzymology · doi:10.1016/bs.mie.2022.07.023 · Cited by 13
Li, H., Pham, N. N., Shen, C. R., Chang, C.-W., Tu, Y., Chang, Y., Tu, J., Nguyen, M. T. T., & Hu, Y. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.913820 · Cited by 13
Self-citationSynthetic Gene Regulation in Cyanobacteria
Immethun, C. M., & Moon, T. S. (2018) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-0854-3_13 · Cited by 12
On the use of oxygenic photosynthesis for the sustainable production of commodity chemicals
Pérez, A. A., Chen, Q., Hernández, H. P., dos Santos, F. B., & Hellingwerf, K. J. (2019) · Physiologia Plantarum · doi:10.1111/ppl.12946 · Cited by 13
Metadata
- Authors
- Huang, C.-H., Shen, C. R., Li, H., Sung, L.-Y., Wu, M.-Y., & Hu, Y.-C.
- Affiliations
- National Tsing Hua University (TW)
- Corresponding author
- Hu, Yu-Chen
- Venue
- Microbial Cell Factories
- Published
- 2016-11-15
- Volume
- 15
- Issue
- 1
- Pages
- 196-196
- ISSN
- 1475-2859 (ISSN-L)
- PMC
- PMC5111286
- OpenAlex
- W2549981312
- Cited by
- 164
- References
- 53
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 14 · 2023: 15 · 2022: 20 · 2021: 23 · 2020: 21 · 2019: 23 · 2018: 17 · 2017: 10
- FWCI
- 8.66
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Microbial Cell Factories (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Ministry of Science and Technology (MOST 103B7028J2, 104-2622-8-007-001, 105-2622-8-007-009)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Keywords
- CRISPR interference, Synechococcus elongatus PCC 7942, cyanobacteria, dCas9, single guide RNA, gene expression inhibition, succinate production, glycogen accumulation, SDHA, SDHB, metabolic pathway engineering, chromosomal integration
- MeSH terms
- Gene Expression Regulation, Bacterial, Succinic Acid, Synechococcus, Metabolic Engineering, Clustered Regularly Interspaced Short Palindromic Repeats
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