Cited by 72Genomic variations and chromosomal abnormalitiesCancer Genomics and DiagnosticsGenomics and Phylogenetic Studies

Haplotype-resolved and integrated genome analysis of the cancer cell line HepG2

Open access
Zhou, Bo, Ho, Steve S, Greer, Stephanie U, Spies, Noah, Bell, John M, Zhang, Xianglong, Zhu, Xiaowei, Arthur, Joseph G +10 more·2019·Nucleic Acids Research

Published version of a preprint

Abstract

HepG2 is one of the most widely used human cancer cell lines in biomedical research and one of the main cell lines of ENCODE. Although the functional genomic and epigenomic characteristics of HepG2 are extensively studied, its genome sequence has never been comprehensively analyzed and higher order genomic structural features are largely unknown. The high degree of aneuploidy in HepG2 renders traditional genome variant analysis methods challenging and partially ineffective. Correct and complete interpretation of the extensive functional genomics data from HepG2 requires an understanding of the cell line's genome sequence and genome structure. Using a variety of sequencing and analysis methods, we identified a wide spectrum of genome characteristics in HepG2: copy numbers of chromosomal segments at high resolution, SNVs and Indels (corrected for aneuploidy), regions with loss of heterozygosity, phased haplotypes extending to entire chromosome arms, retrotransposon insertions and structural variants (SVs) including complex and somatic genomic rearrangements. A large number of SVs were phased, sequence assembled and experimentally validated. We re-analyzed published HepG2 datasets for allele-specific expression and DNA methylation and assembled an allele-specific CRISPR/Cas9 targeting map. We demonstrate how deeper insights into genomic regulatory complexity are gained by adopting a genome-integrated framework.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkz169

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • HepG2 is characterized by pronounced aneuploidy and copy number variations, with a hyperdiploid mosaic genome and extensive regions of loss of heterozygosity on chromosomes 6, 11, 14, and 22.

    “HepG2 is characterized by pronounced aneuploidy and changes in the number of genome copies (copy number variations, CNVs). According to whole genome sequencing (WGS) data, the line is in a hyperdiploid state with a mosaic genome structure: about 74% of the genome has a baseline copy number (CN) of two, while significant proportions are accounted for by regions with CN = 3 (15.5%) and CN = 4 (2.7%)”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 88

  1. [1]Negrini S., Gorgoulis V.G., Halazonetis T.D. Genomic instability–an evolving hallmark of cancer. Nat. Rev. Mol. Cell Biol. 2010; 11: 220– 228. 20177397
  2. [2]Hanahan D., Weinberg R.A. Hallmarks of Cancer: the next generation. Cell. 2011; 144: 646– 674. 21376230
  3. [3]Adey A., Burton J.N., Kitzman J.O., Hiatt J.B., Lewis A.P., Martin B.K., Qiu R., Lee C., Shendure J. The haplotype-resolved genome and epigenome of the aneuploid HeLa cancer cell line. Nature. 2013; 500: 207– 211. 23925245 PMC3740412
  4. [4]Aden D.P., Fogel A., Plotkin S., Damjanov I., Knowles B.B. Controlled synthesis of HBsAg in a differentiated human liver carcinoma-derived cell line. Nature. 1979; 282: 615– 616. 233137
  5. [5]López-Terrada D., Cheung S.W., Finegold M.J., Knowles B.B. Hep G2 is a hepatoblastoma-derived cell line. Hum. Pathol. 2009; 40: 1512– 1515. 19751877
  6. [6]Schoonen W.G.E.J., Westerink W.M.A., de Roos J.A.D.M., Débiton E. Cytotoxic effects of 100 reference compounds on Hep G2 and HeLa cells and of 60 compounds on ECC-1 and CHO cells. I mechanistic assays on ROS, glutathione depletion and calcein uptake. Toxicol. In Vitro. 2005; 19: 505– 516. 15826808
  7. [7]Sahu S.C., O’Donnell M.W., Sprando R.L. Interactive toxicity of usnic acid and lipopolysaccharides in human liver HepG2 cells. J. Appl. Toxicol. 2012; 32: 739– 749. 22777745
  8. [8]Dias da Silva D., Carmo H., Lynch A., Silva E. An insight into the hepatocellular death induced by amphetamines, individually and in combination: the involvement of necrosis and apoptosis. Arch. Toxicol. 2013; 87: 2165– 2185. 23820845
  9. [9]Menezes C., Alverca E., Dias E., Sam-Bento F., Pereira P. Involvement of endoplasmic reticulum and autophagy in microcystin-LR toxicity in Vero-E6 and HepG2 cell lines. Toxicol. In Vitro. 2013; 27: 138– 148. 23010415
  10. [10]Kamalian L., Chadwick A.E., Bayliss M., French N.S., Monshouwer M., Snoeys J., Park B.K. The utility of HepG2 cells to identify direct mitochondrial dysfunction in the absence of cell death. Toxicol. In Vitro. 2015; 29: 732– 740. 25746382
  11. [11]Xia P., Zhang X., Xie Y., Guan M., Villeneuve D.L., Yu H. Functional toxicogenomic assessment of triclosan in human HepG2 cells using Genome-Wide CRISPR-Cas9 screening. Environ. Sci. Technol. 2016; 50: 10682– 10692. 27459410
  12. [12]Alzeer S., Ellis E.M. Metabolism of gamma hydroxybutyrate in human hepatoma HepG2 cells by the aldo-keto reductase AKR1A1. Biochem. Pharmacol. 2014; 92: 499– 505. 25256836
  13. [13]Xu D., He X., Chang Y., Xu C., Jiang X., Sun S., Lin J. Inhibition of miR-96 expression reduces cell proliferation and clonogenicity of HepG2 hepatoma cells. Oncol. Rep. 2013; 29: 653– 661. 23151657
  14. [14]Hao L., Ito K., Huang K.-H., Sae-tan S., Lambert J.D., Ross A.C. Shifts in dietary carbohydrate-lipid exposure regulate expression of the non-alcoholic fatty liver disease-associated gene PNPLA3/adiponutrin in mouse liver and HepG2 human liver cells. Metabolism. 2014; 63: 1352– 1362. 25060692 PMC4175036
  15. [15]Huan L.C., Wu J.-C., Chiou B.-H., Chen C.-H., Ma N., Chang C.Y., Tsen Y.-K., Chen S.C. MicroRNA regulation of DNA repair gene expression in 4-aminobiphenyl-treated HepG2 cells. Toxicology. 2014; 322: 69– 77. 24857880
  16. [16]Mangrum J.B., Martin E.J., Brophy D.F., Hawkridge A.M. Intact stable isotope labeled plasma proteins from the SILAC-labeled HepG2 secretome. Proteomics. 2015; 15: 3104– 3115. 25504855
  17. [17]Sloan C.A., Chan E.T., Davidson J.M., Malladi V.S., Strattan J.S., Hitz B.C., Gabdank I., Narayanan A.K., Ho M., Lee B.T. et al. ENCODE data at the ENCODE portal. Nucleic Acids Res. 2016; 44: D726– D732. 26527727 PMC4702836
  18. [18]Hou Y., Guo H., Cao C., Li X., Hu B., Zhu P., Wu X., Wen L., Tang F., Huang Y. et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 2016; 26: 304– 319. 26902283 PMC4783472
  19. [19]Simon D., Aden D.P., Knowles B.B. Chromosomes of human hepatoma cell lines. Int. J. Cancer. 1982; 30: 27– 33. 6288577
  20. [20]Chen H.-L., Chiu T.-S., Chen P.-J., Chen D.-S. Cytogenetic studies on human liver cancer cell lines. Cancer Genet. Cytogenet. 1993; 65: 161– 166. 8384076
  21. [21]McKenna A., Hanna M., Banks E., Sivachenko A., Cibulskis K., Kernytsky A., Garimella K., Altshuler D., Gabriel S., Daly M. et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010; 20: 1297– 1303. 20644199 PMC2928508
  22. [23]DePristo M.a., Banks E., Poplin R., Garimella K.V., Maguire J.R., Hartl C., Philippakis A.a., del Angel G., Rivas M.a., Hanna M. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet. 2011; 43: 491– 498. 21478889 PMC3083463
  23. [24]Sherry S.T., Ward M.H., Kholodov M., Baker J., Phan L., Smigielski E.M., Sirotkin K. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001; 29: 308– 311. 11125122 PMC29783
  24. [25]Cingolani P., Platts A., Wang L.L., Coon M., Nguyen T., Wang L., Land S.J., Lu X., Ruden D.M. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin). 2012; 6: 80– 92. 22728672 PMC3679285
  25. [26]Cingolani P., Patel V.M., Coon M., Nguyen T., Land S.J., Ruden D.M., Lu X. Using Drosophila melanogaster as a model for genotoxic chemical mutational studies with a new program, SnpSift. Front. Genet. 2012; 3: 1– 9. 22435069 PMC3304048
  26. [27]The 1000 Genomes Project Consortium Auton A., Brooks L.D., Durbin R.M., Garrison E.P., Kang H.M., Korbel J.O., Marchini J.L., McCarthy S., McVean G.A. et al. A global reference for human genetic variation. Nature. 2015; 526: 68– 74. 26432245 PMC4750478
  27. [28]Quinlan A.R., Hall I.M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010; 26: 841– 842. 20110278 PMC2832824
  28. [29]Forbes S.A., Beare D., Gunasekaran P., Leung K., Bindal N., Boutselakis H., Ding M., Bamford S., Cole C., Ward S. et al. COSMIC: Exploring the world's knowledge of somatic mutations in human cancer. Nucleic Acids Res. 2015; 43: D805– D811. 25355519 PMC4383913
  29. [31]Sudmant P.H., Rausch T., Gardner E.J., Handsaker R.E., Abyzov A., Huddleston J., Zhang Y., Ye K., Jun G., Hsi-Yang Fritz M. et al. An integrated map of structural variation in 2,504 human genomes. Nature. 2015; 526: 75– 81. 26432246 PMC4617611
  30. [32]Zheng G.X.Y., Lau B.T., Schnall-Levin M., Jarosz M., Bell J.M., Hindson C.M., Kyriazopoulou-Panagiotopoulou S., Masquelier D.A., Merrill L., Terry J.M. et al. Haplotyping germline and cancer genomes with high-throughput linked-read sequencing. Nat. Biotechnol. 2016; 34: 303– 311. 26829319 PMC4786454
  31. [33]Marks P., Garcia S., Barrio A.M., Belhocine K., Bernate J., Bharadwaj R., Bjornson K., Catalanotti C., Delaney J., Fehr A. et al. Resolving the Full Spectrum of Human Genome Variation using Linked-Reads. 2018; (12 May 2018, date last accessed) https://www.biorxiv.org/content/10.1101/230946v3. PMC6442396 30894395 · DOI
  32. [34]Spies N., Weng Z., Bishara A., McDaniel J., Catoe D., Zook J.M., Salit M., West R.B., Batzoglou S., Sidow A. Genome-wide reconstruction of complex structural variants using read clouds. Nat. Methods. 2017; 14: 915– 920. 28714986 PMC5578891
  33. [35]Greer S.U., Nadauld L.D., Lau B.T., Chen J., Wood-Bouwens C., Ford J.M., Kuo C.J., Ji H.P. Linked read sequencing resolves complex genomic rearrangements in gastric cancer metastases. Genome Med. 2017; 9: 57. 28629429 PMC5477353
  34. [36]Bell J.M., Lau B.T., Greer S.U., Wood-Bouwens C., Xia L.C., Connolly I.D., Gephart M.H., Ji H.P. Chromosome-scale mega-haplotypes enable digital karyotyping of cancer aneuploidy. Nucleic Acids Res. 2017; 45: e162. 28977555 PMC5737808
  35. [37]Chen K., Wallis J.W., McLellan M.D., Larson D.E., Kalicki J.M., Pohl C.S., McGrath S.D., Wendl M.C., Zhang Q., Locke D.P. et al. BreakDancer: an algorithm for high-resolution mapping of genomic structural variation. Nat. Methods. 2009; 6: 677– 681. 19668202 PMC3661775
  36. [38]Ye K., Schulz M.H., Long Q., Apweiler R., Ning Z. Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads. Bioinformatics. 2009; 25: 2865– 2871. 19561018 PMC2781750
  37. [39]Lam H.Y.K., Mu X.J., Stütz A.M., Tanzer A., Cayting P.D., Snyder M., Kim P.M., Korbel J.O., Gerstein M.B. Nucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint library. Nat. Biotechnol. 2010; 28: 47– 55. 20037582 PMC2951730
  38. [40]Layer R.M., Chiang C., Quinlan A.R., Hall I.M. LUMPY: a probabilistic framework for structural variant discovery. Genome Biol. 2014; 15: R84. 24970577 PMC4197822
  39. [41]Kent W.J., Sugnet C.W., Furey T.S., Roskin K.M., Pringle T.H., Zahler A.M., Haussler D. The human genome browser at UCSC. Genome Res. 2002; 12: 996– 1006. 12045153 PMC186604
  40. [42]Karolchik D., Hinrichs A.S., Furey T.S., Roskin K.M., Sugnet C.W., Haussler D., Kent W.J. The UCSC Table Browser data retrieval tool. Nucleic Acids Res. 2004; 32: D493– D496. 14681465 PMC308837
  41. [43]Wong N., Lai P., Pang E., Leung T.W., Lau J.W., Johnson P.J. A comprehensive karyotypic study on human hepatocellular carcinoma by spectral karyotyping. Hepatology. 2000; 32: 1060– 1068. 11050057
  42. [44]Abyzov A., Urban A.E., Snyder M., Gerstein M. CNVnator: An approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing. Genome Res. 2011; 21: 974– 984. 21324876 PMC3106330
  43. [45]Cancer Genome Atlas Research Network Comprehensive and integrative genomic characterization of hepatocellular carcinoma. Cell. 2017; 169: 1327– 1341. 28622513 PMC5680778
  44. [46]Fu W., O’Connor T.D., Jun G., Kang H.M., Abecasis G., Leal S.M., Gabriel S., Altshuler D., Shendure J., Nickerson D.A. et al. Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants. Nature. 2012; 493: 216– 220. 23201682 PMC3676746
  45. [47]Pylayeva-Gupta Y., Grabocka E., Bar-Sagi D. RAS oncogenes: weaving a tumorigenic web. Nat. Rev. Cancer. 2011; 11: 761– 774. 21993244 PMC3632399
  46. [48]Zhou W., Zhang J., Marcus A.I. LKB1 tumor suppressor: Therapeutic opportunities knock when LKB1 is inactivated. Genes Dis. 2014; 1: 64– 74. 25679014 PMC4323096
  47. [49]Berger M.F., Hodis E., Heffernan T.P., Deribe Y.L., Lawrence M.S., Protopopov A., Ivanova E., Watson I.R., Nickerson E., Ghosh P. et al. Melanoma genome sequencing reveals frequent PREX2 mutations. Nature. 2012; 485: 502– 506. 22622578 PMC3367798
  48. [50]Yang J., Gong X., Ouyang L., He W., Xiao R., Tan L. PREX2 promotes the proliferation, invasion and migration of pancreatic cancer cells by modulating the PI3K signaling pathway. Oncol. Lett. 2016; 12: 1139– 1143. 27446408 PMC4950779
  49. [51]Paculová H., Kohoutek J. The emerging roles of CDK12 in tumorigenesis. Cell Div. 2017; 12: 7. 29090014 PMC5658942
  50. [52]Xia Y., Yeddula N., Leblanc M., Ke E., Zhang Y., Oldfield E., Shaw R.J., Verma I.M. Reduced cell proliferation by IKK2 depletion in a mouse lung-cancer model. Nat. Cell Biol. 2012; 14: 257– 265. 22327365 PMC3290728
  51. [53]Kai X., Chellappa V., Donado C., Reyon D., Sekigami Y., Ataca D., Louissaint A., Mattoo H., Joung J.K., Pillai S. IκB Kinase β (IKBKB) mutations in lymphomas that constitutively activate canonical nuclear factor κB (NFκB) signaling. J. Biol. Chem. 2014; 289: 26960– 26972. 25107905 PMC4175336
  52. [54]Fernandez-Banet J., Lee N.P., Chan K.T., Gao H., Liu X., Sung W.-K., Tan W., Fan S.T., Poon R.T., Li S. et al. Decoding complex patterns of genomic rearrangement in hepatocellular carcinoma. Genomics. 2014; 103: 189– 203. 24462510
  53. [55]Brauer P.M., Tyner A. RAKing in AKT: a tumor suppressor function for the intracellular tyrosine kinase FRK. Cell Cycle. 2009; 8: 2728– 2732. 19652529 PMC3005195
  54. [56]Yim E.-K., Siwko S., Lin S.-Y. Exploring Rak tyrosine kinase function in breast cancer. Cell Cycle. 2009; 8: 2360– 2364. 19597351
  55. [57]Platten M., von Knebel Doeberitz N., Oezen I., Wick W., Ochs K. Cancer immunotherapy by targeting IDO1/TDO and their downstream effectors. Front. Immunol. 2015; 5: 673. 25628622 PMC4290671
  56. [58]Lam H.Y.K., Pan C., Clark M.J., Lacroute P., Chen R., Haraksingh R., O’Huallachain M., Gerstein M.B., Kidd J.M., Bustamante C.D. et al. Detecting and annotating genetic variations using the HugeSeq pipeline. Nat. Biotechnol. 2012; 30: 226– 229. 22398614 PMC4720384
  57. [59]López-Terrada D., Gunaratne P.H., Adesina A.M., Pulliam J., Hoang D.M., Nguyen Y., Mistretta T.-A., Margolin J., Finegold M.J. Histologic subtypes of hepatoblastoma are characterized by differential canonical Wnt and Notch pathway activation in DLK+ precursors. Hum. Pathol. 2009; 40: 783– 794. 19200579
  58. [60]Ding Y., Xi Y., Chen T., Wang J., Tao D., Wu Z.-L., Li Y., Li C., Zeng R., Li L. Caprin-2 enhances canonical Wnt signaling through regulating LRP5/6 phosphorylation. J. Cell Biol. 2008; 182: 865– 872. 18762581 PMC2528581
  59. [61]Jia D., Dong R., Jing Y., Xu D., Wang Q., Chen L., Li Q., Huang Y., Zhang Y., Zhang Z. et al. Exome sequencing of hepatoblastoma reveals novel mutations and cancer genes in the Wnt pathway and ubiquitin ligase complex. Hepatology. 2014; 60: 1686– 1696. 24912477
  60. [62]Keane T.M., Wong K., Adams D.J. RetroSeq: Transposable element discovery from next-generation sequencing data. Bioinformatics. 2013; 29: 389– 390. 23233656 PMC3562067
  61. [63]Krueger F., Andrews S.R. Bismark: A flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics. 2011; 27: 1571– 1572. 21493656 PMC3102221
  62. [64]Storey J.D., Tibshirani R. Statistical significance for genomewide studies. Proc. Natl. Acad. Sci. U.S.A. 2003; 100: 9440– 9445. 12883005 PMC170937
  63. [65]Sunagawa G.A., Sumiyama K., Ukai-Tadenuma M., Perrin D., Fujishima H., Ukai H., Nishimura O., Shi S., Ohno R.-I., Narumi R. et al. Mammalian reverse genetics without crossing reveals Nr3a as a Short-Sleeper gene. Cell Rep. 2016; 14: 662– 677. 26774482
  64. [66]Lorenz R., Bernhart S.H., Höner Zu Siederdissen C., Tafer H., Flamm C., Stadler P.F., Hofacker I.L. ViennaRNA Package 2.0. Algorithms Mol. Biol. 2011; 6: 26. 22115189 PMC3319429
  65. [68]Ran F.A., Hsu P.D., Wright J., Agarwala V., Scott D.A., Zhang F. Genome engineering using the CRISPR-Cas9 system. Nat. Protoc. 2013; 8: 2281– 2308. 24157548 PMC3969860
  66. [69]Huang D., Ovcharenko I. Identifying causal regulatory SNPs in ChIP-seq enhancers. Nucleic Acids Res. 2015; 43: 225– 236. 25520196 PMC4288203
  67. [70]Cavalli M., Pan G., Nord H., Wallén Arzt E., Wallerman O., Wadelius C. Allele-specific transcription factor binding in liver and cervix cells unveils many likely drivers of GWAS signals. Genomics. 2016; 107: 248– 254. 27126307
  68. [71]Burns T.F., Fei P., Scata K.A., Dicker D.T., El-Deiry W.S. Silencing of the novel p53 target gene Snk/Plk2 leads to mitotic catastrophe in paclitaxel (Taxol)-Exposed cells. Mol. Cell. Biol. 2003; 23: 5556– 5571. 12897130 PMC166320
  69. [72]Coley H.M., Hatzmichael E., Blagden S.P., McNeish I.A., Thompson A., Crook T., Syed N. Polo Like Kinase 2 Tumour Suppressor and cancer biomarker: new perspectives on drug sensitivity/resistance in ovarian cancer. Oncotarget. 2012; 3: 78– 83. 22289679 PMC3292894
  70. [73]Pellegrino R., Calvisi D.F., Ladu S., Ehemann V., Staniscia T., Evert M., Dombrowski F., Schirmacher P., Longerich T. Oncogenic and tumor suppressive roles of polo-like kinases in human hepatocellular carcinoma. Hepatology. 2010; 51: 857– 868. 20112253
  71. [74]Syed N., Coley H.M., Sehouli J., Koensgen D., Mustea A., Szlosarek P., McNeish I., Blagden S.P., Schmid P., Lovell D.P. et al. Polo-like kinase Plk2 is an epigenetic determinant of chemosensitivity and clinical outcomes in ovarian cancer. Cancer Res. 2011; 71: 3317– 3327. 21402713
  72. [75]Ou B., Zhao J., Guan S., Wangpu X., Zhu C., Zong Y., Ma J., Sun J., Zheng M., Feng H. et al. Plk2 promotes tumor growth and inhibits apoptosis by targeting Fbxw7/Cyclin E in colorectal cancer. Cancer Lett. 2016; 380: 457– 466. 27423313
  73. [76]Syed N., Smith P., Sullivan A., Spender L.C., Dyer M., Karran L., O’Nions J., Allday M., Hoffmann I., Crawford D. et al. Transcriptional silencing of Polo-like kinase 2 (SNK/PLK2) is a frequent event in B-cell malignancies. Blood. 2006; 107: 250– 256. 16160013
  74. [77]Harrelson Z., Kelly R.G., Goldin S.N., Gibson-Brown J.J., Bollag R.J., Silver L.M., Papaioannou V.E. Tbx2 is essential for patterning the atrioventricular canal and for morphogenesis of the outflow tract during heart development. Development. 2004; 131: 5041– 5052. 15459098
  75. [79]Manning L., Ohyama K., Saeger B., Hatano O., Wilson S.A., Logan M., Placzek M. Regional morphogenesis in the Hypothalamus: A BMP-Tbx2 pathway coordinates fate and proliferation through shh downregulation. Dev. Cell. 2006; 11: 873– 885. 17141161
  76. [80]Cho G.-S., Choi S.-C., Park E.C., Han J.-K. Role of Tbx2 in defining the territory of the pronephric nephron. Development. 2011; 138: 465– 474. 21205791
  77. [81]Bilican B., Goding C.R. Cell cycle regulation of the T-box transcription factor tbx2. Exp. Cell Res. 2006; 312: 2358– 2366. 16730707
  78. [82]Vance K.W., Carreira S., Brosch G., Goding C.R. Tbx2 is overexpressed and plays an important role in maintaining proliferation and suppression of senescence in melanomas. Cancer Res. 2005; 65: 2260– 2268. 15781639
  79. [83]Lv Y., Si M., Chen N., Li Y., Ma X., Yang H., Zhang L., Zhu H., Xu G.-Y., Wu G.-P. et al. TBX2 over-expression promotes nasopharyngeal cancer cell proliferation and invasion. Oncotarget. 2017; 8: 52699– 52707. 28881763 PMC5581062
  80. [84]Wang B., Lindley L.E., Fernandez-Vega V., Rieger M.E., Sims A.H., Briegel K.J. The T Box transcription factor TBX2 promotes Epithelial-Mesenchymal transition and invasion of normal and malignant breast epithelial cells. PLoS One. 2012; 7: e41355. 22844464 PMC3402503
  81. [85]D’Costa Z.C., Higgins C., Ong C.W., Irwin G.W., Boyle D., McArt D.G., McCloskey K., Buckley N.E., Crawford N.T., Thiagarajan L. et al. TBX2 represses CST6 resulting in uncontrolled legumain activity to sustain breast cancer proliferation: a novel cancer-selective target pathway with therapeutic opportunities. Oncotarget. 2014; 5: 1609– 1620. 24742492 PMC4057604
  82. [86]Du W.-L., Fang Q., Chen Y., Teng J.-W., Xiao Y.-S., Xie P., Jin B., Wang J.-Q. Effect of silencing the T-Box transcription factor TBX2 in prostate cancer PC3 and LNCaP cells. Mol. Med. Rep. 2017; 16: 6050– 6058. 28849151 PMC5865808
  83. [87]Yu H., Liu B.O., Liu A., Li K., Zhao H. T-box 2 expression predicts poor prognosis in gastric cancer. Oncol. Lett. 2015; 10: 1689– 1693. 26622733 PMC4533639
  84. [88]Mohiyuddin M., Mu J.C., Li J., Bani Asadi N., Gerstein M.B., Abyzov A., Wong W.H., Lam H.Y.K. MetaSV: An accurate and integrative structural-variant caller for next generation sequencing. Bioinformatics. 2015; 31: 2741– 2744. 25861968 PMC4528635
  85. [89]Nattestad M., Goodwin S., Ng K., Baslan T., Sedlazeck F.J., Rescheneder P., Garvin T., Fang H., Gurtowski J., Hutton E. et al. Complex rearrangements and oncogene amplifications revealed by long-read DNA and RNA sequencing of a breast cancer cell line. Genome Res. 2018; 28: 1126– 1135. 29954844 PMC6071638
  86. [90]Sedlazeck F.J., Rescheneder P., Smolka M., Fang H., Nattestad M., von Haeseler A., Schatz M.C. Accurate detection of complex structural variations using single-molecule sequencing. Nat. Methods. 2018; 15: 461– 468. 29713083 PMC5990442
  87. [91]Gong L., Wong C.-H., Cheng W.-C., Tjong H., Menghi F., Ngan C.Y., Liu E.T., Wei C.-L. Picky comprehensively detects high-resolution structural variants in nanopore long reads. Nat. Methods. 2018; 15: 455– 460. 29713081 PMC5990454
  88. [92]Li H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics. 2018; 34: 3094– 3100. 29750242 PMC6137996

Cited by

Sorted by citations

Authors
Zhou, B., Ho, S. S., Greer, S. U., Spies, N., Bell, J. M., Zhang, X., Zhu, X., Arthur, J. G., Byeon, S., Pattni, R., Saha, I., Huang, Y., Song, G., Perrin, D., Wong, W. H., Ji, H. P., Abyzov, A., & Urban, A. E.
Affiliations
  • Stanford Medicine (US)
  • National Institute of Standards and Technology (US)
  • Stanford University (US)
  • Pusan National University (KR)
  • Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
  • Queensland University of Technology (AU)
  • Mayo Clinic (US)
Corresponding author
  • Ho, Steve S
  • Spies, Noah
  • Arthur, Joseph G
  • Urban, Alexander E
Venue
Nucleic Acids Research
Published
2019-03-13
Volume
47
Issue
8
Pages
3846-3861
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2952980424
Cited by
72
References
5
Citations by year
2026: 9 · 2025: 11 · 2024: 11 · 2023: 4 · 2022: 13 · 2021: 7 · 2020: 11 · 2019: 5 · 2017: 1
FWCI
5.42
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by-nc)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • QUT ePrints (Queensland University of Technology) (submittedVersion, other-oa)
Funders
  • NIH
  • NHGRI (P50-HG007735, R01-HG007834, R01-HG006137, P01-HG00205)
  • NHLBI (T32-HL110952)
  • NSF (DGE-114747)
  • NIGMS (T32-GM096982)
  • NCI (U24CA220242)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
HepG2 cells, haplotype phasing, aneuploidy, copy number variation, structural variants, loss of heterozygosity, retrotransposon insertion, somatic rearrangements, allele-specific expression, DNA methylation, genome assembly, hepatocellular carcinoma
MeSH terms
Alleles, Aneuploidy, Chromosome Mapping, Haplotypes, Humans, Karyotyping, Genome, Human, Sequence Analysis, DNA, Retroelements, DNA Methylation, Loss of Heterozygosity, Polymorphism, Single Nucleotide, Genomics, INDEL Mutation, Genomic Structural Variation, Hep G2 Cells, High-Throughput Nucleotide Sequencing

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