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Volumn 20, Issue 1, 2019, Pages

Clonealign: Statistical integration of independent single-cell RNA and DNA sequencing data from human cancers

Author keywords

[No Author keywords available]

Indexed keywords

DNA; RNA; TUMOR MARKER;

EID: 85062864174     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-019-1645-z     Document Type: Article
Times cited : (76)

References (51)
  • 7
    • 85044246108 scopus 로고    scopus 로고
    • Single-cell transcriptomics identifies intra-tumor heterogeneity in human myeloma cell lines
    • Mitra AK, Stessman H, Linden MA, Van Ness B. Single-cell transcriptomics identifies intra-tumor heterogeneity in human myeloma cell lines. Blood. 2014; 124(21):3385.
    • (2014) Blood , vol.124 , Issue.21 , pp. 3385
    • Mitra, A.K.1    Stessman, H.2    Linden, M.A.3    Van Ness, B.4
  • 10
    • 84924423596 scopus 로고    scopus 로고
    • Integrated genome and transcriptome sequencing of the same cell
    • 1:CAS:528:DC%2BC2MXhtFOjuro%3D
    • Dey SS, Kester L, Spanjaard B, Bienko M, Van Oudenaarden A. Integrated genome and transcriptome sequencing of the same cell. Nat Biotechnol. 2015; 33(3):285.
    • (2015) Nat Biotechnol , vol.33 , Issue.3 , pp. 285
    • Dey, S.S.1    Kester, L.2    Spanjaard, B.3    Bienko, M.4    Van Oudenaarden, A.5
  • 11
    • 85062548778 scopus 로고    scopus 로고
    • Resource: Scalable whole genome sequencing of 40,000 single cells identifies stochastic aneuploidies, genome replication states and clonal repertoires
    • Laks E, Zahn H, Lai D, McPherson A, Steif A, Brimhall J, Biele J, Wang B, Masud T, Grewal D, et al.Resource: Scalable whole genome sequencing of 40,000 single cells identifies stochastic aneuploidies, genome replication states and clonal repertoires. bioRxiv. 2018:411058.
    • (2018) BioRxiv
    • Laks, E.1    Zahn, H.2    Lai, D.3    McPherson, A.4    Steif, A.5    Brimhall, J.6    Biele, J.7    Wang, B.8    Masud, T.9    Grewal, D.10
  • 14
    • 84925229458 scopus 로고    scopus 로고
    • Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution
    • 1:CAS:528:DC%2BC2cXitFamsr3J
    • Eirew P, Steif A, Khattra J, Ha G, Yap D, Farahani H, Gelmon K, Chia S, Mar C, Wan A, et al.Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution. Nature. 2015; 518(7539):422.
    • (2015) Nature , vol.518 , Issue.7539 , pp. 422
    • Eirew, P.1    Steif, A.2    Khattra, J.3    Ha, G.4    Yap, D.5    Farahani, H.6    Gelmon, K.7    Chia, S.8    Mar, C.9    Wan, A.10
  • 15
    • 84867164956 scopus 로고    scopus 로고
    • Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer
    • 1:CAS:528:DC%2BC38XhsVKhsrjM
    • Ha G, Roth A, Lai D, Bashashati A, Ding J, Goya R, Giuliany R, Rosner J, Oloumi A, Shumansky K, et al.Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer. Genome Res. 2012; 22:1995-2007.
    • (2012) Genome Res , vol.22 , pp. 1995-2007
    • Ha, G.1    Roth, A.2    Lai, D.3    Bashashati, A.4    Ding, J.5    Goya, R.6    Giuliany, R.7    Rosner, J.8    Oloumi, A.9    Shumansky, K.10
  • 16
    • 84896735766 scopus 로고    scopus 로고
    • Voom: Precision weights unlock linear model analysis tools for rna-seq read counts
    • Law CW, Chen Y, Shi W, Smyth GK. voom: Precision weights unlock linear model analysis tools for rna-seq read counts. Genome Biol. 2014; 15(2):29.
    • (2014) Genome Biol , vol.15 , Issue.2 , pp. 29
    • Law, C.W.1    Chen, Y.2    Shi, W.3    Smyth, G.K.4
  • 17
    • 84955463999 scopus 로고    scopus 로고
    • The urgent need to recover MHC class i in cancers for effective immunotherapy
    • 1:CAS:528:DC%2BC28Xlt1CltQ%3D%3D
    • Garrido F, Aptsiauri N, Doorduijn EM, Lora AMG, van Hall T. The urgent need to recover MHC class i in cancers for effective immunotherapy. Curr Opin Immunol. 2016; 39:44-51.
    • (2016) Curr Opin Immunol , vol.39 , pp. 44-51
    • Garrido, F.1    Aptsiauri, N.2    Doorduijn, E.M.3    Lora, A.M.G.4    Van Hall, T.5
  • 18
    • 84857929365 scopus 로고    scopus 로고
    • MHC class i molecules act as tumor suppressor genes regulating the cell cycle gene expression, invasion and intrinsic tumorigenicity of melanoma cells
    • 1:CAS:528:DC%2BC38XjtlGrsbk%3D
    • Garrido C, Paco L, Romero I, Berruguilla E, Stefansky J, Collado A, Algarra I, Garrido F, Garcia-Lora AM. MHC class i molecules act as tumor suppressor genes regulating the cell cycle gene expression, invasion and intrinsic tumorigenicity of melanoma cells. Carcinogenesis. 2012; 33(3):687-93.
    • (2012) Carcinogenesis , vol.33 , Issue.3 , pp. 687-693
    • Garrido, C.1    Paco, L.2    Romero, I.3    Berruguilla, E.4    Stefansky, J.5    Collado, A.6    Algarra, I.7    Garrido, F.8    Garcia-Lora, A.M.9
  • 19
    • 85055332583 scopus 로고    scopus 로고
    • Modelling cell-cell interactions from spatial molecular data with spatial variance component analysis
    • Arnol D, Schapiro D, Bodenmiller B, Saez-Rodriguez J, Stegle O. Modelling cell-cell interactions from spatial molecular data with spatial variance component analysis. bioRxiv. 2018;:265256. https://doi.org/10.1101/265256.
    • (2018) BioRxiv
    • Arnol, D.1    Schapiro, D.2    Bodenmiller, B.3    Saez-Rodriguez, J.4    Stegle, O.5
  • 25
    • 85062963287 scopus 로고    scopus 로고
    • Accessed 17 May 2018
    • Farahani H. Latent tree model. 2018. http://www.github.com/shahcompbio/LTM. Accessed 17 May 2018.
    • (2018) Farahani H. Latent Tree Model
  • 26
    • 85052746903 scopus 로고    scopus 로고
    • The multifaceted role of chromosomal instability in cancer and its microenvironment
    • 1:CAS:528:DC%2BC1cXhs1Omu7bO
    • Bakhoum SF, Cantley LC. The multifaceted role of chromosomal instability in cancer and its microenvironment. Cell. 2018; 174(6):1347-60.
    • (2018) Cell , vol.174 , Issue.6 , pp. 1347-1360
    • Bakhoum, S.F.1    Cantley, L.C.2
  • 28
    • 84860170813 scopus 로고    scopus 로고
    • Dna copy number changes and immunophenotype pattern in karyotypically normal acute myeloid leukemia patients from an indian population
    • 1:CAS:528:DC%2BC38XlvFWksL4%3D
    • Kawankar N, Korgaonkar S, Kerketta L, Madkaikar M, Jijina F, Ghosh K, Vundinti BR. Dna copy number changes and immunophenotype pattern in karyotypically normal acute myeloid leukemia patients from an indian population. Genet Test Mol Biomark. 2012; 16(4):265-70.
    • (2012) Genet Test Mol Biomark , vol.16 , Issue.4 , pp. 265-270
    • Kawankar, N.1    Korgaonkar, S.2    Kerketta, L.3    Madkaikar, M.4    Jijina, F.5    Ghosh, K.6    Vundinti, B.R.7
  • 31
    • 77953176036 scopus 로고    scopus 로고
    • A scaling normalization method for differential expression analysis of RNA-seq data
    • Robinson MD, Oshlack A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 2010; 11(3):25.
    • (2010) Genome Biol , vol.11 , Issue.3 , pp. 25
    • Robinson, M.D.1    Oshlack, A.2
  • 32
    • 85010931059 scopus 로고    scopus 로고
    • A step-by-step workflow for low-level analysis of single-cell RNA-seq data with bioconductor
    • Lun AT, McCarthy DJ, Marioni JC. A step-by-step workflow for low-level analysis of single-cell RNA-seq data with bioconductor. F1000Research. 2016;5.
    • (2016) F1000Research , vol.5
    • Lun, A.T.1    McCarthy, D.J.2    Marioni, J.C.3
  • 33
    • 84924629414 scopus 로고    scopus 로고
    • Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
    • Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014; 15(12):550.
    • (2014) Genome Biol , vol.15 , Issue.12 , pp. 550
    • Love, M.I.1    Huber, W.2    Anders, S.3
  • 34
    • 85040785722 scopus 로고    scopus 로고
    • A general and flexible method for signal extraction from single-cell RNA-seq data
    • Risso D, Perraudeau F, Gribkova S, Dudoit S, Vert JP. A general and flexible method for signal extraction from single-cell RNA-seq data. Nat Commun. 2018; 9(1):284.
    • (2018) Nat Commun , vol.9 , Issue.1 , pp. 284
    • Risso, D.1    Perraudeau, F.2    Gribkova, S.3    Dudoit, S.4    Vert, J.P.5
  • 35
    • 85054462437 scopus 로고    scopus 로고
    • Correcting the mean-variance dependency for differential variability testing using single-cell rna sequencing data
    • 1:CAS:528:DC%2BC1cXhvVSnu73J
    • Eling N, Richard AC, Richardson S, Marioni JC, Vallejos CA. Correcting the mean-variance dependency for differential variability testing using single-cell rna sequencing data. Cell Syst. 2018; 7:284-294.
    • (2018) Cell Syst , vol.7 , pp. 284-294
    • Eling, N.1    Richard, A.C.2    Richardson, S.3    Marioni, J.C.4    Vallejos, C.A.5
  • 36
    • 85023644081 scopus 로고    scopus 로고
    • Variational inference: A review for statisticians
    • 1:CAS:528:DC%2BC2sXhtFKrtrzM
    • Blei DM, Kucukelbir A, McAuliffe JD. Variational inference: a review for statisticians. J Am Stat Assoc. 2017; 112(518):859-77.
    • (2017) J Am Stat Assoc , vol.112 , Issue.518 , pp. 859-877
    • Blei, D.M.1    Kucukelbir, A.2    McAuliffe, J.D.3
  • 41
    • 84924336542 scopus 로고    scopus 로고
    • Titan: Inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data
    • 1:CAS:528:DC%2BC2cXhvFWqs7fE
    • Ha G, Roth A, Khattra J, Ho J, Yap D, Prentice LM, Melnyk N, McPherson A, Bashashati A, Laks E, et al.Titan: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data. Genome Res. 2014; 24(11):1881-93.
    • (2014) Genome Res , vol.24 , Issue.11 , pp. 1881-1893
    • Ha, G.1    Roth, A.2    Khattra, J.3    Ho, J.4    Yap, D.5    Prentice, L.M.6    Melnyk, N.7    McPherson, A.8    Bashashati, A.9    Laks, E.10
  • 43
    • 85033477012 scopus 로고    scopus 로고
    • An algorithm for fast preranked gene set enrichment analysis using cumulative statistic calculation
    • Sergushichev A. An algorithm for fast preranked gene set enrichment analysis using cumulative statistic calculation. bioRxiv. 2016;060012. https://doi.org/10.1101/060012.
    • (2016) BioRxiv , pp. 60012
    • Sergushichev, A.1
  • 44
    • 85024480509 scopus 로고    scopus 로고
    • https://doi.org/10.5281/zenodo.1892336
    • Campbell KR, Steif A, Laks E, Zahn H, Lai D, McPherson A, Farahani H, Kabeer F, O'Flanagan C, Biele J, Brimhall J, Wang B, Walters P, Consortium I, Bouchard-Côté A, Aparicio S, Shah SP. clonealign: paper-analysis-version. 2019. https://zenodo.org/record/1892336. https://doi.org/10.5281/zenodo.1892336.
    • (2019) Clonealign: Paper-analysis-version
    • Campbell Kr, S.1
  • 45
    • 85062972949 scopus 로고    scopus 로고
    • https://doi.org/10.5281/zenodo.1974562. Accessed 8 Oct 2018
    • Campbell KR, Steif A, Laks E, Zahn H, Lai D, McPherson A, Farahani H, Kabeer F, O'Flanagan C, Biele J, Brimhall J, Wang B, Walters P, Consortium I, Bouchard-Côté A, Aparicio S, Shah SP. snvworkflow: paper-analysis-version. 2019. https://zenodo.org/record/1974562. https://doi.org/10.5281/zenodo.1974562. Accessed 8 Oct 2018.
    • (2019) Snvworkflow: Paper-analysis-version
    • Campbell Kr, S.1
  • 46
    • 85062994971 scopus 로고    scopus 로고
    • https://doi.org/10.5281/zenodo.2546904. Accessed 17 May 2018
    • Campbell KR, Steif A, Laks E, Zahn H, Lai D, McPherson A, Farahani H, Kabeer F, O'Flanagan C, Biele J, Brimhall J, Wang B, Walters P, Consortium I, Bouchard-Côté A, Aparicio S, Shah SP. Latent tree model software used in clonealign paper. 2019. https://zenodo.org/record/2546904. https://doi.org/10.5281/zenodo.2546904. Accessed 17 May 2018.
    • (2019) Latent Tree Model Software Used in Clonealign Paper
    • Campbell Kr, S.1
  • 51
    • 85062978051 scopus 로고    scopus 로고
    • https://doi.org/10.5281/zenodo.2363961. Accessed 7 Dec 2018
    • Campbell KR, Steif A, Laks E, Zahn H, Lai D, McPherson A, Farahani H, Kabeer F, O'Flanagan C, Biele J, Brimhall J, Wang B, Walters P, Consortium I, Bouchard-Côté A, Aparicio S, Shah SP. All simulated data for clonealign paper. 2019. https://zenodo.org/record/2363961. https://doi.org/10.5281/zenodo.2363961. Accessed 7 Dec 2018.
    • (2019) All Simulated Data for Clonealign Paper
    • Campbell Kr, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.