A reference genome of the Chinese hamster based on a hybrid assembly strategy
Open accessAbstract
Accurate and complete genome sequences are essential in biotechnology to facilitate genome‐based cell engineering efforts. The current genome assemblies for Cricetulus griseus, the Chinese hamster, are fragmented and replete with gap sequences and misassemblies, consistent with most short‐read‐based assemblies. Here, we completely resequenced C. griseus using single molecule real time sequencing and merged this with Illumina‐based assemblies. This generated a more contiguous and complete genome assembly than either technology alone, reducing the number of scaffolds by >28‐fold, with 90% of the sequence in the 122 longest scaffolds. Most genes are now found in single scaffolds, including up‐ and downstream regulatory elements, enabling improved study of noncoding regions. With >95% of the gap sequence filled, important Chinese hamster ovary cell mutations have been detected in draft assembly gaps. This new assembly will be an invaluable resource for continued basic and pharmaceutical research.
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Advances in various omics technologies have significantly improved understanding of CHO cells at different levels and enabled rational targeting of glycosylation effectors for improved biopharmaceutical production.
“Advances in various omics technologies have significantly improved our understanding of CHO cells at different levels and enabled the rational targeting of glycosylation effectors for improved biopharmaceutical production [27,71,72,150–152].”
From Glycoengineering Chinese hamster ovary cells: a short history (2021) · cites this paper as [72]
The Introduction (page not available in our copy) says genomic resources have enhanced transcriptomics and proteomics used to understand and engineer CHO-cell traits. The Results identify a glycosylation-related mutation, but the paper does not establish that omics advances enabled rational targeting of glycosylation effectors to improve biopharmaceutical production. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe availability of genomic sequences has enabled CHO cell engineering with unprecedented precision using engineered nucleases including ZFNs, TALENs and CRISPR.
“The availability of genomic sequences has enabled CHO cell engineering with unprecedented precision using engineered nucleases, including zinc finger nucleases (ZFNs) and transcription activator like nucleases (TALENs) and the clustered regularly interspaced short palindromic repeats (CRISPR) system [71–73,75,76].”
From Glycoengineering Chinese hamster ovary cells: a short history (2021) · cites this paper as [72]
The Introduction says published CHO genomes have enhanced genetic engineering, and the Discussion says precise genome-editing tools depend on a well-assembled genome and discusses CRISPR-based approaches. The paper does not identify ZFNs or TALENs as examples of those tools, so it does not support the full list in the citing sentence. Page numbers were unavailable in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCHO cells do not express alpha-1,3-galactosyltransferases (although they have the gene), and expression of CMP-N-acetylneuraminic acid hydroxylase is virtually absent.
“CHO cells do not express alpha-1,3-galactosyltransferases, which produce the immunogenic alpha-galactosyl epitope (although they have the gene), and the expression of CMP-N-acetylneuraminic acid hydroxylase, which produces CMP-NeuGc, is virtually absent [27,71,72].”
From Glycoengineering Chinese hamster ovary cells: a short history (2021) · cites this paper as [72]
The Results section on filled sequence gaps discusses an Xylt2 mutation affecting glycosaminoglycan biosynthesis, not expression of the enzymes in the claim. Searches for alpha-1,3-galactosyltransferase, CMP-N-acetylneuraminic acid hydroxylase, and NeuGc found no passage in our copy addressing their presence or expression in CHO cells; page numbers were unavailable. (LLM, conf=0.75)
Experimental — accuracy not yet measured
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Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · see citing works
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437 · see citing works
BLAST+: architecture and applications
Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., & Madden, T. L. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-421 · Cited by 22,074 · see citing works
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., Adiconis, X., Fan, L., Raychowdhury, R., Zeng, Q., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1883 · Cited by 20,770 · see citing works
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108 · see citing works
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,216 · see citing works
Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1110s43 · Cited by 6,687 · see citing works
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368 · see citing works
REVIGO summarizes and visualizes long lists of gene ontology terms
Supek, F., Bošnjak, M., Škunca, N., & Šmuc, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021800 · Cited by 6,264 · see citing works
SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
Luo, R., Liu, B., Xie, Y., Li, Z., Huang, W., Yuan, J., He, G., Chen, Y., Pan, Q., Liu, Y., et al. (2012) · GigaScience · doi:10.1186/2047-217x-1-18 · Cited by 5,270 · see citing works
Versatile and open software for comparing large genomes
Kurtz, S., Phillippy, A., Delcher, A. L., Smoot, M., Shumway, M., Antonescu, C., & Salzberg, S. L. (2004) · Genome Biology · doi:10.1186/gb-2004-5-2-r12 · Cited by 5,254 · see citing works
A fast, lock-free approach for efficient parallel counting of occurrences of <i>k</i> -mers
Marçais, G., & Kingsford, C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr011 · Cited by 4,661 · see citing works
Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data
Chin, C., Alexander, D., Marks, P., Klammer, A., Drake, J., Heiner, C., Clum, A., Copeland, A., Huddleston, J., Eichler, E., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2474 · Cited by 4,008 · see citing works
Real-Time DNA Sequencing from Single Polymerase Molecules
Eid, J., Fehr, A., Gray, J., Luong, K., Lyle, J., Otto, G., Peluso, P., Rank, D., Baybayan, P., Bettman, B., et al. (2009) · Science · doi:10.1126/science.1162986 · Cited by 3,732 · see citing works
Korf, I. F. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-59 · Cited by 3,160 · see citing works
Automated generation of heuristics for biological sequence comparison
Slater, G., & Birney, E. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-31 · Cited by 2,902 · see citing works
Holt, C., & Yandell, M. D. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-491 · Cited by 2,042 · see citing works
High-quality draft assemblies of mammalian genomes from massively parallel sequence data
Gnerre, S., MacCallum, I., Przybylski, D., Ribeiro, F. J., Burton, J. N., Walker, B. J., Sharpe, T., Hall, G., Shea, T., Sykes, S. M., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017351108 · Cited by 1,510 · see citing works
Improved maize reference genome with single-molecule technologies
Jiao, Y., Peluso, P. S., Shi, J., Liang, T. Y., Stitzer, M. C., Wang, B., Campbell, M. S., Stein, J. C., Wei, X., Chin, C.-S., et al. (2017) · Nature · doi:10.1038/nature22971 · Cited by 1,197 · see citing works
Biopharmaceutical benchmarks 2014
Walsh, G. (2014) · Nature Biotechnology · doi:10.1038/nbt.3040 · Cited by 1,008 · see citing works
LoRDEC: accurate and efficient long read error correction
Salmela, L., & Rivals, É. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu538 · Cited by 820 · see citing works
The genomic sequence of the Chinese hamster ovary (CHO)-K1 cell line
Xu, X., Nagarajan, H., Lewis, N. E., Pan, S., Cai, Z., Liu, X., Chen, W., Xie, M., Wang, W., Hammond, S., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1932 · Cited by 785 · see citing works
Self-citationRepurposing the CRISPR-Cas9 system for targeted DNA methylation
Vojta, A., Dobrinić, P., Tadić, V., Bočkor, L., Korać, P., Jülg, B. D., Klasić, M., & Zoldoš, V. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw159 · Cited by 772 · see citing works
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Bradnam, K. R., Fass, J., Alexandrov, A., Baranay, P., Bechner, M., Birol, İ., Boisvert, S., Chapman, J., Chapuis, G., Chikhi, R., et al. (2013) · GigaScience · doi:10.1186/2047-217x-2-10 · Cited by 658 · see citing works
Genome Annotation and Curation Using MAKER and MAKER‐P
Campbell, M. S., Holt, C., Moore, B., & Yandell, M. D. (2014) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi0411s48 · Cited by 645 · see citing works
Bickhart, D. M., Rosen, B. D., Koren, S., Sayre, B. L., Hastie, A. R., Chan, S., Lee, J., Lam, E. T., Liachko, I., Sullivan, S. T., et al. (2017) · Nature Genetics · doi:10.1038/ng.3802 · Cited by 620 · see citing works
Animal cell mutants defective in glycosaminoglycan biosynthesis.
Esko, J. D., Stewart, T., & Taylor, W. H. (1985) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.82.10.3197 · Cited by 608 · see citing works
Genome-wide inactivation of porcine endogenous retroviruses (PERVs)
Yang, L., Güell, M., Niu, D., George, H., Lesha, E., Grishin, D., Aach, J., Shrock, E. L., Xu, W., Poci, J., et al. (2015) · Science · doi:10.1126/science.aad1191 · Cited by 604 · see citing works
A novel hybrid gene prediction method employing protein multiple sequence alignments
Keller, O., Kollmar, M., Stanke, M., & Waack, S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr010 · Cited by 565 · see citing works
proovread : large-scale high-accuracy PacBio correction through iterative short read consensus
Hackl, T., Hedrich, R., Schultz, J., & Förster, F. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu392 · Cited by 499 · see citing works
Targeted DNA demethylation in vivo using dCas9–peptide repeat and scFv–TET1 catalytic domain fusions
Morita, S., Noguchi, H., Horii, T., Nakabayashi, K., Kimura, M., Okamura, K., Sakai, A., Nakashima, H., Hata, K., Nakashima, K., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3658 · Cited by 496 · see citing works
Pybedtools: a flexible Python library for manipulating genomic datasets and annotations
Dale, R., Pedersen, B. S., & Quinlan, A. R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr539 · Cited by 493 · see citing works
GENETICS OF SOMATIC MAMMALIAN CELLS
TJIO, J. H., & Puck, T. T. (1958) · The Journal of Experimental Medicine · doi:10.1084/jem.108.2.259 · Cited by 405 · see citing works
Lewis, N. E., Liu, X., Li, Y., Nagarajan, H., Yerganian, G., O'Brien, E., Bordbar, A., Roth, A. M., Rosenbloom, J., Bian, C., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2624 · Cited by 380 · see citing works
Self-citationLong-read sequence assembly of the gorilla genome
Gordon, D., Huddleston, J., Chaisson, M. J. P., Hill, C. M., Kronenberg, Z. N., Munson, K. M., Malig, M., Raja, A., Fiddes, I., Hillier, L. W., et al. (2016) · Science · doi:10.1126/science.aae0344 · Cited by 333 · see citing works
Long-read sequencing and de novo assembly of a Chinese genome
Shi, L., Guo, Y., Dong, C., Huddleston, J., Yang, H., Han, X., Fu, A., Li, Q., Li, N., Gong, S., et al. (2016) · Nature Communications · doi:10.1038/ncomms12065 · Cited by 257 · see citing works
Lectin-resistant CHO glycosylation mutants
Patnaik, S. K., & Stanley, P. (2006) · Methods in Enzymology · doi:10.1016/s0076-6879(06)16011-5 · Cited by 218 · see citing works
Lee, J. S., Kallehauge, T. B., Pedersen, L. E., & Kildegaard, H. F. (2015) · Scientific Reports · doi:10.1038/srep08572 · Cited by 196 · see citing works
Chinese hamster genome sequenced from sorted chromosomes
Brinkrolf, K., Rupp, O., Laux, H., Kollin, F., Ernst, W., Linke, B., Kofler, R., Romand, S., Hesse, F., Budach, W. E., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2645 · Cited by 166 · see citing works
Self-citationThe emerging CHO systems biology era: harnessing the ‘omics revolution for biotechnology
Kildegaard, H. F., Baycin-Hizal, D., Lewis, N. E., & Betenbaugh, M. J. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2013.02.007 · Cited by 165 · see citing works
Self-citationFeichtinger, J., Hernández, I., Fischer, C., Hanscho, M., Auer, N., Hackl, M., Jadhav, V., Baumann, M., Krempl, P. M., Schmidl, C., et al. (2016) · Biotechnology and Bioengineering · doi:10.1002/bit.25990 · Cited by 148 · see citing works
Self-citationMetassembler: merging and optimizing de novo genome assemblies
Wences, A. H., & Schatz, M. C. (2015) · Genome biology · doi:10.1186/s13059-015-0764-4 · Cited by 124 · see citing works
CRISPR/Cas9-mediated genome engineering of CHO cell factories: application and perspectives
Lee, J. S., Grav, L. M., Lewis, N. E., & Faustrup Kildegaard, H. (2015) · Biotechnology Journal · doi:10.1002/biot.201500082 · Cited by 117 · see citing works
Self-citationMammalian Systems Biotechnology Reveals Global Cellular Adaptations in a Recombinant CHO Cell Line
Yusufi, F. N. K., Lakshmanan, M., Ho, Y. S., Loo, B. L. W., Ariyaratne, P. N., Yang, Y., Ng, S. K., Tan, T. R. M., Yeo, H. C., Lim, H. L., et al. (2017) · Cell Systems · doi:10.1016/j.cels.2017.04.009 · Cited by 104 · see citing works
Kawasaki, K., Kuge, O., Chang, S.-C., Heacock, P. N., Rho, M., Suzuki, K., Nishijima, M., & Dowhan, W. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.3.1828 · Cited by 101 · see citing works
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling
Caragea, C., Sinapov, J., Dobbs, D. L., & Honavar, V. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-s4-s4 · Cited by 96 · see citing works
CHO microRNA engineering is growing up: Recent successes and future challenges
Jadhav, V., Hackl, M., Druz, A., Shridhar, S., Chung, C., Heffner, K. M., Kreil, D. P., Betenbaugh, M., Shiloach, J., Barron, N., et al. (2013) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.07.007 · Cited by 85 · see citing works
Self-citationRecent Progress with the DNA Repair Mutants of Chinese Hamster Ovary Cells
Thompson, L. H., Salazar, E. P., Brookman, K. W., Collins, C. C., Stewart, S. A., Busch, D. B., & Weber, C. A. (1987) · Journal of Cell Science · doi:10.1242/jcs.1984.supplement_6.6 · Cited by 83 · see citing works
Anderson, K., Low, M.-A. L., Lie, Y., Keller, G.-A., & Dinowitz, M. (1991) · Virology · doi:10.1016/0042-6822(91)90496-x · Cited by 69 · see citing works
Cuellar, K., Chuong, H. H., Hubbell, S. M., & Hinsdale, M. E. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m611048200 · Cited by 68 · see citing works
Zhang, J., Chen, L., Sun, S., Kudrna, D., Copetti, D., Li, W., Mu, T., Jiao, W., Xing, F., Lee, S., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.76 · Cited by 55 · see citing works
CHO Glycosylation Mutants: Proteoglycans
Zhang, L., Lawrence, R., Frazier, B. A., & Esko, J. D. (2006) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(06)16013-9 · Cited by 55 · see citing works
Yang, F., O’Brien, P. C. M., & Ferguson-Smith, M. A. (2000) · Chromosome Research · doi:10.1023/a:1009200912436 · Cited by 55 · see citing works
CHO Glycosylation Mutants: GPI Anchor
Maeda, Y., Ashida, H., & Kinoshita, T. (2006) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(06)16012-7 · Cited by 48 · see citing works
Schmieder, V., Bydlinski, N., Strasser, R., Baumann, M., Kildegaard, H. F., Jadhav, V., & Borth, N. (2017) · Biotechnology Journal · doi:10.1002/biot.201700211 · Cited by 46 · see citing works
Self-citationImprovements in protein production in mammalian cells from targeted metabolic engineering
Richelle, A., & Lewis, N. E. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.05.019 · Cited by 40 · see citing works
Self-citationA scaffold for the Chinese hamster genome
Wlaschin, K. F., & Hu, W. (2007) · Biotechnology and Bioengineering · doi:10.1002/bit.21430 · Cited by 32 · see citing works
Pericentriolar Virus-like Particles in Chinese Hamster Ovary Cells
Wheatley, D. N. (1974) · Journal of General Virology · doi:10.1099/0022-1317-24-2-395 · Cited by 32 · see citing works
van Wijk, X. M., Döhrmann, S., Hallström, B. M., Li, S., Voldborg, B. G. R., Meng, B. X., McKee, K. K., Kuppevelt, T. H. V., Yurchenco, P. D., Palsson, B. Ø., et al. (2017) · mBio · doi:10.1128/mbio.02128-16 · Cited by 29 · see citing works
Self-citationGoh, J. S. Y., Liu, Y., Chan, K. F., Wan, C., Teo, G., Zhang, P., Zhang, Y., & Song, Z. (2014) · Bioengineered · doi:10.4161/bioe.29490 · Cited by 13 · see citing works
Chinese hamster ovary mutants for glycosylation engineering of biopharmaceuticals
Stanley, P. (2014) · Pharmaceutical Bioprocessing · doi:10.4155/pbp.14.37 · Cited by 3 · see citing works
Flagged first, then by citations
1 of the 63 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Liu, B., Shi, Y., Yuan, J., Hu, X., Zhang, H., Li, N., … and Fan, W. (2013). Estimation of genomic characteristics by analyzing k‐mer frequency in de novo genome projects. arXiv:1308.2012 [q‐bio]. · arXiv
Cited by
Sorted by citations
Dahodwala, H., & Lee, K. H. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.01.011 · Cited by 154 · see citing works
Self-citationSite-specific integration ushers in a new era of precise CHO cell line engineering
Hamaker, N. K., & Lee, K. H. (2018) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2018.09.011 · Cited by 82 · see citing works
Self-citationWhat CHO is made of: Variations in the biomass composition of Chinese hamster ovary cell lines
Széliová, D., Ruckerbauer, D. E., Galleguillos, S. N., Petersen, L. B., Natter, K., Hanscho, M., Troyer, C., Causon, T. J., Schoeny, H., Christensen, H. B., et al. (2020) · Metabolic Engineering · doi:10.1016/j.ymben.2020.06.002 · Cited by 78 · see citing works
Self-citationBiopharmaceutical Manufacturing: Historical Perspectives and Future Directions
Szkodny, A. C., & Lee, K. H. (2022) · Annual Review of Chemical and Biomolecular Engineering · doi:10.1146/annurev-chembioeng-092220-125832 · Cited by 83 · see citing works
Self-citationMitigating Clonal Variation in Recombinant Mammalian Cell Lines
Lee, J. S., Kildegaard, H. F., Lewis, N. E., & Lee, G. M. (2019) · Trends in biotechnology · doi:10.1016/j.tibtech.2019.02.007 · Cited by 65 · see citing works
Self-citationPristovšek, N., Nallapareddy, S., Grav, L. M., Hefzi, H., Lewis, N. E., Rugbjerg, P., Hansen, H. G., Lee, G. M., Andersen, M. R., & Kildegaard, H. F. (2019) · ACS Synthetic Biology · doi:10.1021/acssynbio.8b00453 · Cited by 55 · see citing works
Self-citationMalm, M., Kuo, C., Barzadd, M. M., Mebrahtu, A., Wistbacka, N., Razavi, R., Volk, A.-L., Lundqvist, M., Kotol, D., Tegel, H., et al. (2022) · Metabolic Engineering · doi:10.1016/j.ymben.2022.03.009 · Cited by 52 · see citing works
Self-citationHilliard, W., MacDonald, M. L., & Lee, K. H. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27432 · Cited by 48 · see citing works
Self-citationAmann, T., Schmieder, V., Faustrup Kildegaard, H., Borth, N., & Andersen, M. R. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.27101 · Cited by 46 · see citing works
Self-citationHilliard, W., & Lee, K. H. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27599 · Cited by 40 · see citing works
Self-citationAn optimized genome-wide, virus-free CRISPR screen for mammalian cells
Xiong, K., Karottki, K. J. L. C., Hefzi, H., Li, S., Grav, L. M., Li, S., Spahn, P. N., Lee, J. S., Ventiņa, I., Lee, G. M., et al. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100062 · Cited by 38 · see citing works
Self-citationGlycoengineering Chinese hamster ovary cells: a short history
Donini, R., Haslam, S. M., & Kontoravdi, C. (2021) · Biochemical Society Transactions · doi:10.1042/bst20200840 · Cited by 37 · see citing works
Dhiman, H., Campbell, M., Melcher, M., Smith, K. D., & Borth, N. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.11.008 · Cited by 37 · see citing works
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Glinšek, K., Bozovičar, K., & Bratkovič, T. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098144 · Cited by 35 · see citing works
Weinguny, M., Klanert, G., Eisenhut, P., Jonsson, A., Ivansson, D., Lövgren, A., & Borth, N. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.05.020 · Cited by 31 · see citing works
Self-citationWeinguny, M., Klanert, G., Eisenhut, P., Lee, I., Timp, W., & Borth, N. (2021) · Biotechnology Journal · doi:10.1002/biot.202000350 · Cited by 30 · see citing works
Self-citationShin, S. W., & Lee, J. S. (2020) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-020-0093-7 · Cited by 29 · see citing works
Marx, N., Eisenhut, P., Weinguny, M., Klanert, G., & Borth, N. (2022) · Biotechnology Advances · doi:10.1016/j.biotechadv.2022.107924 · Cited by 29 · see citing works
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Tzani, I., Herrmann, N., Carillo, S., Spargo, C. A., Hagan, R., Barron, N., Bones, J., Dillmore, W. S., & Clarke, C. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.27715 · Cited by 28 · see citing works
Dovgan, T., Golghalyani, V., Zurlo, F., Hatton, D., Lindo, V., Turner, R., Harris, C. L., & Cui, T. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.27857 · Cited by 28 · see citing works
Eisenhut, P., Marx, N., Borsi, G., Papež, M., Ruggeri, C., Baumann, M., & Borth, N. (2023) · New Biotechnology · doi:10.1016/j.nbt.2023.11.003 · Cited by 32 · see citing works
Self-citationMarx, N., Dhiman, H., Schmieder, V., Freire, C. M., Ly, N. N., Klanert, G., & Borth, N. (2021) · Metabolic Engineering · doi:10.1016/j.ymben.2021.04.014 · Cited by 27 · see citing works
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Oh, Y. H., Mendola, K. M., Choe, L. H., Min, L., Lavoie, R. A., Sripada, S. A., Williams, T. I., Lee, K. H., Yigzaw, Y., Seay, A., et al. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28568 · Cited by 26 · see citing works
Self-citationRish, A. J., Drennen, J. K., & Anderson, C. A. (2021) · Biotechnology Progress · doi:10.1002/btpr.3220 · Cited by 25 · see citing works
CHOmpact: A reduced metabolic model of Chinese hamster ovary cells with enhanced interpretability
del Val, I. J., Kyriakopoulos, S., Albrecht, S., Stöckmann, H., Rudd, P. M., Polizzi, K. M., & Kontoravdi, C. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28459 · Cited by 25 · see citing works
Masuda, K., Kubota, M., Nakazawa, Y., 岩間, 千., Watanabe, K., Ishikawa, N., Tanabe, Y., Kono, S., Tanemura, H., Takahashi, S., et al. (2024) · Journal of Bioscience and Bioengineering · doi:10.1016/j.jbiosc.2024.02.005 · Cited by 23 · see citing works
Hamaker, N. K., Min, L., & Lee, K. H. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28128 · Cited by 20 · see citing works
Self-citationLy, N. N., Novak, N., Baumann, M., Koehn, J., & Borth, N. (2019) · Biotechnology Journal · doi:10.1002/biot.201900359 · Cited by 23 · see citing works
Self-citationStadermann, A., Gamer, M., Fieder, J., Lindner, B., Fehrmann, S., Schmidt, M. J., Schulz, P., & Gorr, I. H. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.28012 · Cited by 22 · see citing works
Srila, W., Baumann, M., Riedl, M., Rangnoi, K., Borth, N., & Yamabhai, M. (2023) · Scientific Reports · doi:10.1038/s41598-023-37288-6 · Cited by 22 · see citing works
Self-citationKlanert, G., Fernández, D. J., Weinguny, M., Eisenhut, P., Buehler, E. C., Melcher, M., Titus, S. A., Diendorfer, A. B., Gludovacz, E., Jadhav, V., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-45159-2 · Cited by 22 · see citing works
Self-citationWeinguny, M., Eisenhut, P., Klanert, G., Virgolini, N., Marx, N., Jonsson, A., Ivansson, D., Lövgren, A., & Borth, N. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27493 · Cited by 21 · see citing works
Self-citationSpahn, P. N., Zhang, X., Hu, Q., Lu, H., Hamaker, N. K., Hefzi, H., Li, S., Kuo, C., Huang, Y., Lee, J. C., et al. (2021) · Biotechnology and Bioengineering · doi:10.1002/bit.28016 · Cited by 21 · see citing works
Self-citationRodriguez, S. P., Wulff, T., Voldborg, B. G. R., Altamirano, C., Trujillo‐Roldán, M. A., & Valdez‐Cruz, N. A. (2021) · ACS Omega · doi:10.1021/acsomega.0c06030 · Cited by 20 · see citing works
Leitner, K., Motheramgari, K., Borth, N., & Marx, N. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28382 · Cited by 18 · see citing works
Self-citationLi, S., Cha, S. W., Heffner, K., Hızal, D. B., Bowen, M. A., Chaerkady, R., Cole, R. N., Tejwani, V., Kaushik, P., Henry, M. A., et al. (2019) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00935 · Cited by 18 · see citing works
Self-citationWang, J. Y., Khmelinskaia, A., Sheffler, W., Miranda, M. C., Antanasijevic, A., Borst, A. J., Torres, S. V., Shu, C., Hsia, Y., Nattermann, U., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214556120 · Cited by 17 · see citing works
Strasser, L., Farrell, A., Ho, J. T. C., Scheffler, K., Cook, K., Pankert, P., Mowlds, P., Viner, R., Karger, B. L., & Bones, J. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.569045 · Cited by 17 · see citing works
Nguyen, M., & Zimmer, A. (2023) · Biotechnology Advances · doi:10.1016/j.biotechadv.2023.108141 · Cited by 17 · see citing works
Gopalakrishnan, S., Johnson, W., Valderrama-Gómez, M. Á., Içten, E., Tat, J., Lay, F. D., Diep, J., Gomez, N. V., Stevens, J. L., Schlegel, F., et al. (2024) · Metabolic Engineering · doi:10.1016/j.ymben.2024.07.009 · Cited by 17 · see citing works
Self-citationHeffner, K. M., Hızal, D. B., Majewska, N. I., Kumar, S., Dhara, V. G., Zhu, J., Bowen, M. A., Hatton, D., Yerganian, G., Yerganian, A., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-72959-8 · Cited by 17 · see citing works
Self-citationKretzmer, C., Narasimhan, R. L., Lal, R. D., Balassi, V., Ravellette, J., Manjunath, A. K. K., Koshy, J. J., Viano, M., Torre, S., Zanda, V. M., et al. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28226 · Cited by 15 · see citing works
A Chinese hamster transcription start site atlas that enables targeted editing of CHO cells
Shamie, I., Duttke, S. H. C., Karottki, K. J. L. C., Han, C. Z., Hansen, A. H., Hefzi, H., Xiong, K., Li, S., Roth, S. J., Tao, J., et al. (2021) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqab061 · Cited by 16 · see citing works
Self-citationExpanding the Chinese hamster ovary cell long noncoding RNA transcriptome using RNASeq
Motheramgari, K., Curell, R. V., Tzani, I., Gallagher, C., Castro‐Rivadeneyra, M., Zhang, L., Barron, N., & Clarke, C. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27467 · Cited by 15 · see citing works
Lin, D., Yalamanchili, H. B., Zhang, X., Lewis, N. E., Alves, C. S., de Groot, J. C. W., Arnsdorf, J., Bjørn, S. P., Wulff, T., Voldborg, B. G. R., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008498 · Cited by 15 · see citing works
Self-citationChang, M., Kumar, A., Kumar, S., Huhn, S. C., Timp, W., Betenbaugh, M. J., & Du, Z. (2022) · Biotechnology and Bioengineering · doi:10.1002/bit.28036 · Cited by 15 · see citing works
Self-citationFeary, M., Moffat, M. A., Casperson, G. F., Allen, M. J., & Young, R. J. (2021) · Biotechnology Progress · doi:10.1002/btpr.3137 · Cited by 15 · see citing works
The potential of emerging sub-omics technologies for CHO cell engineering
Jerabek, T., Keysberg, C., & Otte, K. (2022) · Biotechnology Advances · doi:10.1016/j.biotechadv.2022.107978 · Cited by 14 · see citing works
Lavoie, R. A., Chu, W., Lavoie, J. H., Hetzler, Z. J., Williams, T. I., Carbonell, R. G., & Menegatti, S. (2020) · Separation and Purification Technology · doi:10.1016/j.seppur.2020.117890 · Cited by 14 · see citing works
Key Challenges in Designing CHO Chassis Platforms
Hamdi, A., Széliová, D., Ruckerbauer, D. E., Rocha, I., Borth, N., & Zanghellini, J. (2020) · Processes · doi:10.3390/pr8060643 · Cited by 14 · see citing works
Self-citationAdaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance
Wan, Y., Mu, Q., Krzysztoń, R., Cohen, J., Coraci, D., Helenek, C., Tompkins, C., Lin, A. J., Farquhar, K. S., Cross, E., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2303114120 · Cited by 13 · see citing works
Rives, D., Peak, C., & Blenner, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-64767-1 · Cited by 13 · see citing works
Identification of RNA content of CHO-derived extracellular vesicles from a production process
Busch, D. J., Zhang, Y., Kumar, A., Huhn, S. C., Du, Z., & Liu, R. (2022) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2022.03.004 · Cited by 12 · see citing works
LncRNA analysis of mAb producing CHO clones reveals marker and engineering potential
Novak, N., Baumann, M., Friss, A. F., Cairns, V. R., DeMaria, C., & Borth, N. (2023) · Metabolic Engineering · doi:10.1016/j.ymben.2023.05.003 · Cited by 12 · see citing works
Self-citationAge of Laboratory Hamster and Human: Drawing the Connexion
Dutta, S., & Sengupta, P. (2019) · Biomedical & Pharmacology Journal · doi:10.13005/bpj/1612 · Cited by 12 · see citing works
MacDonald, M. L., Polson, S. W., & Lee, K. H. (2021) · mSphere · doi:10.1128/msphere.01336-20 · Cited by 11 · see citing works
Self-citationDevelopment and Characterization of the NISTCHO Reference Cell Line
Dahodwala, H., Hodzic, I., Slesarev, A. I., Cutak, B., Kuzin, A., Lal, R., Liu, J., Mahon, J., Narasimhan, R. L., Onuska, J., et al. (2025) · Biotechnology Journal · doi:10.1002/biot.70012 · Cited by 11 · see citing works
Self-citationDuan, L., Jiang, H., Liu, J., Liu, Y., Ma, T., Xie, Y., Wang, L., Cheng, J., Zou, J., Wu, J., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.698046 · Cited by 11 · see citing works
Subphysiological temperature induces pervasive alternative splicing in Chinese hamster ovary cells
Tzani, I., Monger, C., Motheramgari, K., Gallagher, C., Hagan, R., Kelly, P. S., Costello, A., Meiller, J., Floris, P., Zhang, L., et al. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27365 · Cited by 11 · see citing works
Bioinformatic analysis of Chinese hamster ovary host cell protein lipases
MacDonald, M. L., Hamaker, N. K., & Lee, K. H. (2018) · AIChE Journal · doi:10.1002/aic.16378 · Cited by 10 · see citing works
Self-citationSchmieder, V., Novak, N., Dhiman, H., Ly, N. N., Serafimova, E., Klanert, G., Baumann, M., Kildegaard, H. F., & Borth, N. (2021) · Biotechnology Reports · doi:10.1016/j.btre.2021.e00649 · Cited by 10 · see citing works
Self-citationFrom omics to cellular mechanisms in mammalian cell factory development
Samoudi, M., Masson, H. O., Kuo, C., Robinson, C. M., & Lewis, N. E. (2021) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2021.100688 · Cited by 10 · see citing works
Self-citationMarco, F. D., Sebastian, I. R., Napoleone, A., Molin, A., Riedl, M., Bydlinski, N., Motheramgari, K., Hussein, M. K., Kramer, L., Kelly, T. J., et al. (2025) · Metabolic Engineering · doi:10.1016/j.ymben.2025.08.007 · Cited by 9 · see citing works
Self-citationHigh‐resolution three‐dimensional chromatin profiling of the Chinese hamster ovary cell genome
Bevan, S., Schoenfelder, S., Young, R. J., Zhang, L., Andrews, S. R., Fraser, P., & O'Callaghan, P. M. (2020) · Biotechnology and Bioengineering · doi:10.1002/bit.27607 · Cited by 9 · see citing works
Liu, R., Zhang, Y., Kumar, A., Huhn, S. C., Hullinger, L., & Du, Z. (2021) · Biotechnology Journal · doi:10.1002/biot.202100142 · Cited by 9 · see citing works
A high‐fidelity, dual site‐specific integration system in CHO cells by a Bxb1 recombinase
Xu, Y., Crowe, K. B., Lieske, P. L., Barnes, M. R., Bandara, K., Chu, J., Wei, W., Scarcelli, J. J., & Zhang, L. (2024) · Biotechnology Journal · doi:10.1002/biot.202300410 · Cited by 8 · see citing works
Papadaki, S., Tournaviti, S., Borth, N., Großkopf, T., Popp, O., Chung, S.-H., & Quaiser, T. (2025) · Scientific Reports · doi:10.1038/s41598-025-89667-w · Cited by 8 · see citing works
Self-citationKulakova, L., Li, K. H., Chiang, A. W. T., Schwoerer, M. P., Suzuki, S., Schoffelen, S., Elkholy, K. H., Chao, K. L., Shahid, S., Kumar, B., et al. (2025) · npj Vaccines · doi:10.1038/s41541-025-01161-6 · Cited by 8 · see citing works
Self-citationEndogenous p21-Dependent Transgene Control for CHO Cell Engineering
Lee, Y., Kwak, J. M., & Lee, J. S. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.9b00526 · Cited by 8 · see citing works
Grassi, L., Harris, C. L., Zhu, J., Hatton, D., & Dunn, S. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.04.006 · Cited by 7 · see citing works
Multiplexed clonality verification of cell lines for protein biologic production
O’Brien, S. A., Ojha, J., Wu, P. Y. K., & Hu, W. (2020) · Biotechnology Progress · doi:10.1002/btpr.2978 · Cited by 7 · see citing works
Belliveau, J., & Papoutsakis, E. T. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28356 · Cited by 6 · see citing works
Molecular biomarkers identification and applications in CHO bioprocessing
Desmurget, C., Périlleux, A., Souquet, J., Borth, N., & Douet, J. (2024) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2024.06.005 · Cited by 6 · see citing works
Self-citationFantastic genes and where to find them expressed in CHO
Riedl, M., Ruggeri, C., Marx, N., & Borth, N. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.03.050 · Cited by 5 · see citing works
Self-citationKimura, S., & Ōmasa, T. (2018) · Cytotechnology · doi:10.1007/s10616-018-0233-5 · Cited by 5 · see citing works
Recent developments in miRNA based recombinant protein expression in CHO
Bazaz, M., Adeli, A., Azizi, M., Soleimani, M., Mahboudi, F., & Davoudi, N. (2022) · Biotechnology Letters · doi:10.1007/s10529-022-03250-1 · Cited by 5 · see citing works
Sulaj, E., Schwaigerlehner, L., Sandell, F. L., Dohm, J. C., Marzban, G., & Kunert, R. (2024) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-024-13223-1 · Cited by 4 · see citing works
Rapid Antibody Glycoengineering in CHO Cells Via RNA Interference and CGE-LIF N-Glycomics
Kotidis, P., Marbiah, M. M., Donini, R., Gómez, I. A., del Val, I. J., Haslam, S. M., Polizzi, K. M., & Kontoravdi, C. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1685-7_7 · Cited by 4 · see citing works
Torres, M., Ortuzar, V., Dickson, A. J., & Hussain, H. (2021) · Cell engineering · doi:10.1007/978-3-030-79871-0_4 · Cited by 4 · see citing works
La bioproduction des anticorps monoclonaux
Joubert, S., Dodelet, V. C., Béliard, R., & Durocher, Y. (2019) · médecine/sciences · doi:10.1051/medsci/2019219 · Cited by 4 · see citing works
Pooled analysis of radiation hybrids identifies loci for growth and drug action in mammalian cellsPreprint
Khan, A. H., Lin, A., Wang, R. T., Bloom, J. S., Lange, K. L., & Smith, D. (2020) · Genome Research · doi:10.1101/gr.262204.120 · Cited by 3 · see citing works
Deciphering the determinants of recombinant protein yield across the human secretomePreprint
Masson, H. O., Kuo, C., Malm, M., Lundqvist, M., Sievertsson, Å., Berling, A., Tegel, H., Hober, S., Uhlén, M., Grassi, L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.12.520152 · Cited by 4 · see citing works
Self-citationMacDonald, M. L., & Lee, K. H. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04480-2 · Cited by 3 · see citing works
Self-citationCost-Effective Mapping of Genetic Interactions in Mammalian Cells
Khan, A. H., & Smith, D. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.703738 · Cited by 2 · see citing works
Enhancing CHO by Systems Biotechnology
Borth, N., & Hu, W. (2018) · Biotechnology Journal · doi:10.1002/biot.201800077 · Cited by 2 · see citing works
Self-citationTzani, I., Castro‐Rivadeneyra, M., Boi, S., & Clarke, C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.31.486542 · Cited by 2 · see citing works
Enhancing CHO by Systems Biotechnology
Borth, N., & Hu, W. (2018) · Biotechnology Journal · doi:10.1002/biot.201800488 · Cited by 2 · see citing works
Self-citationPyro: A Comprehensive Pipeline for Eukaryotic Genome AssemblyPreprint
Southwood, D., Rane, R., Lee, S. F., Oakeshott, J. G., & Ranganathan, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.18.537425 · Cited by 2 · see citing works
The ‘Omics Revolution in CHO Biology: Roadmap to Improved CHO Productivity
Dahodwala, H., & Sharfstein, S. T. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-4104-0_9 · Cited by 1 · see citing works
Grissom, S., Dixon, Z., Singh, A., & Blenner, M. (2025) · iScience · doi:10.1016/j.isci.2025.113478 · Cited by 1 · see citing works
Spahn, P. N., Zhang, X., Hu, Q., Hamaker, N. K., Hefzi, H., Li, S., Kuo, C., Huang, Y., Lee, J., Ly, P., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.07.425558 · Cited by 1 · see citing works
Self-citationMoshfeghnia, M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.14.567093 · Cited by 1 · see citing works
O’Brien, S. A. (2020) · University of Minnesota Digital Conservancy (University of Minnesota)
Heritable non-genetic phenotypes are enriched for stress responses as a form of bet hedgingPreprint
Grissom, S., Dixon, Z., Singh, A., & Blenner, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.15.618459
Quantifying structural variants in chromosomes using landmark-based disparityPreprint
Mohan, A. V., Goswami, A., & Streicher, J. W. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.30.620815
Database Chemistry for Genomics-Based Safety and Quality Evaluation of BiologicsPreprint
Ogata, N., Matsuda, T., Hosaka, A., Shina, A., Hashiba, N., Uchida, K., Kawabe, Y., Kamihira, M., Yamaoka, T., Kurita, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.14.638017
Kulakova, L., Li, K. H., Chiang, A. W. T., Schwoerer, M. P., Schoffelen, S., Elkholy, K. H., Chao, K. L., Shahid, S., Kumar, B., Murray, N. B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.02.646860
Self-citationStuible, M., Alpuche‐Lazcano, S. P., Gervais, C., Ouimet, M., Lippens, J., Pagé, M., Morasse, A., Moraitis, A. N., & Durocher, Y. (2025) · Biotechnology and Bioengineering · doi:10.1002/bit.70043
MacDonald, M. L., & Lee, K. H. (2021) · Figshare · doi:10.6084/m9.figshare.17088232
Self-citationGenome-Scale Big Data boostet die Produktion von Biotherapeutika
Borth, N. (2026) · BIOspektrum · doi:10.1007/s12268-026-2660-8
Self-citation
- Authors
- Rupp, O., MacDonald, M. L., Li, S., Dhiman, H., Polson, S., Griep, S., Heffner, K., Hernandez, I., Brinkrolf, K., Jadhav, V., Samoudi, M., Hao, H., Kingham, B., Goesmann, A., Betenbaugh, M. J., Lewis, N. E., Borth, N., & Lee, K. H.
- Affiliations
- Justus-Liebig-Universität Gießen (DE)
- Delaware Biotechnology Institute (US)
- University of California San Diego (US)
- Austrian Centre of Industrial Biotechnology (Austria) (AT)
- Johns Hopkins University (US)
- BOKU University (AT)
- Fraunhofer Institute for Molecular Biology and Applied Ecology (DE)
- Corresponding author
- Betenbaugh, Michael J.
- Lewis, Nathan E.
- Borth, Nicole
- Lee, Kelvin H.
- ORCID
- Venue
- Biotechnology and Bioengineering
- Publisher
- Wiley
- Published
- 2018-05-29
- Volume
- 115
- Issue
- 8
- Pages
- 2087-2100
- ISSN
- 0006-3592 (ISSN-L)
- 1097-0290
- PMC
- PMC6045439
- OpenAlex
- W2800755544
- Cited by
- 107
- References
- 63
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 9 · 2023: 13 · 2022: 11 · 2021: 24 · 2020: 18 · 2019: 9 · 2018: 6
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Biotechnology and Bioengineering (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (P20 GM103446, R35 GM119850)
- National Science Foundation (NSF1144726, NSF1412365, NSF1539359, NSF1736123)
- Danmarks Tekniske Universitet (NNF10CC1016517, NNF16CC0021858)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Keywords
- Chinese hamster, reference genome, genome assembly, hybrid assembly, single-molecule real-time sequencing, genome resequencing, non-coding regions, regulatory elements
- MeSH terms
- Whole Genome Sequencing, Animals, Cricetulus, Genome, Sequence Analysis, DNA, Computational Biology, High-Throughput Nucleotide Sequencing
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