{"id":19,"date":"2021-09-02T18:29:43","date_gmt":"2021-09-02T18:29:43","guid":{"rendered":"https:\/\/geiselmed.dartmouth.edu\/christensenlab\/?page_id=19"},"modified":"2022-08-11T14:06:16","modified_gmt":"2022-08-11T14:06:16","slug":"publications","status":"publish","type":"page","link":"https:\/\/geiselmed.dartmouth.edu\/christensenlab\/publications\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"
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Google Scholar\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/a>PubMed<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0ResearchGate<\/a><\/h3>\n<\/div>\n<\/div>\n<\/div>\n
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Lee MK, Brown MS, Wilkins OM, Pattabiraman DR, Christensen BC. Distinct cytosine modification profiles define epithelial-to-mesenchymal cell-state transitions.<\/a> Epigenomics, 2022.<\/p>\n

Salas LA, Stewart TG, Mobley BC, Peng C, Liu J, Loganathan SN, Wang J, Ma Y, Berger MS, Absher D, Hu Y, Moots PL, Christensen BC*, Clark SW*. Phase I Study of High-Dose L-methylfolate in Combination with Temozolomide and Bevacizumab in Recurrent IDH wild-type High-Grade Glioma<\/a>. Cancer Res Commun, 2022. *co-senior authors<\/p>\n

Salas LA, Zhang Z, Koestler DC, Butler RA, Hansen HM, Molinaro AM, Wiencke JK, Kelsey KT, Christensen BC. Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling.<\/a> Nat Commun, 2022.<\/p>\n

Chen JQ, Salas LA, Wiencke JK, Koestler DC, Molinaro AM, Andrew AS, Seigne JD, Karagas MR, Kelsey KT, Christensen BC. Immune profiles and DNA methylation alterations related with non-muscle-invasive bladder cancer outcomes.<\/a> Clin Epigenetics, 2022.<\/p>\n

Azizgolshani, N, Petersen, CL, Chen, Y, Salas, L, Perreard, L, Nguyen, LN, Christensen, BC. DNA hypohydroxymethylation in pediatric central nervous system tumors is associated with CTCF binding sites and reduced survival<\/a>. <\/em>Clinical Epigenetics, 2021.<\/p>\n

Levy, JJ, Chen, Y, Azizgolshani, N, Petersen, CL, Titus, AJ, Moen, EL, Vaickus, LJ, Salas, LA, Christensen, BC. MEthylSPWNet and MethylCapsNet: Biologically motivated organization of DNAm neural networks, inspired by capsule networks<\/a>.<\/em> NPJ Systems Biology Applications, 2021.<\/p>\n

Petersen, CL, Chen, J, Salas, LA, Christensen, BC. Altered immune phenotype and DNA methylation in panic disorder.<\/a>\u00a0<\/em>Clinical Epigenetics, 2020.<\/p>\n

Levy, JJ, Azizgolshani, N, Andersen, MJ, Suriawinata, A, Liu, X, Lisovsky, Ren, B, Christensen, BC, Vaickus, L. A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies<\/em>.<\/a> Modern Pathology, 2020.<\/p>\n

Lee, MK, Armstrong, DA, Hazlett, HF, Dessaint, JA, Mellinger, DL, Aridgdes, DS, Christensen, BC, Ashare, A. Exposure to extracellular vesicles from Pseudomonas aeruginosa results in loss of DNA methylation at enhancer and DHS regions in lung macrophages<\/a>. <\/em>Epigenetics, 2020.\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/em><\/p>\n

Ognjenovic, NB, Bagheri, M, Mohamed, GA, Xu, K, Brown, MS, Chen, Y, Ashick, M, Nagaraj, SH, Muller, KE, Christensen, BC, Pattabiraman, DR. Induced tumor differentiation limits metastatic progression and sensitizes mammary tumors to chemotherapy.<\/a> <\/em>Developmental Cell, 2020.<\/p>\n

Muse, ME, Titus, AJ, Salas, LA, Wilkins, OM, Mullen, C, Gregory, KJ, Schneider, SS, Crisi, GM, Jarwale, RM, Otis, CN, Christensen, BC, Arcaro, KF. Enrichment of CpG island shore hypermethylation in epigenetic breast field cancerization<\/a>.<\/em> Epigenetics, 2020.\u00a0<\/em><\/p>\n

Levy, JJ, Titus, AJ, Petersen, CL, Chen, Y, Salas, LA, Christensen, BC. MethylNet: An automated and modular deep learning approach for DNA methylation analysis<\/a>. <\/em>BMC Bioinformatics, 2020.<\/p>\n

Salas, LA, Lundgren, SN, Browne, EP, Anderton, DL, Karagas, MR, Arcaro, KF, Christensen, BC. Prediagnostic breast milk DNA methylation alterations in women who develop breast cancer.<\/em><\/a> Human Molecular Genetics, 2020.<\/p>\n

Lundgren, SN, Madan, JC, Karagas, MR, Morrison, HG, Hoen AG, Christensen, BC. Microbial communities in human milk relate to measures of maternal weight. <\/em><\/a>Frontiers in Microbiology, 2019.<\/p>\n

Wilkins, OM, Johnson, KC, Houseman EA, King, JE, Marist, CM, Christensen, BC. Genome-wide characterization of cytosine-specifc 5-hydroxymethylcytosine in normal breast tissue. <\/em><\/a>Epigenetics, 2019.<\/p>\n

Levy, JJ, Titus, AJ, Salas, LA, Christensen, BC. PyMethylProcess \u2013 highly parallelized preprocessing for DNA methylation array data. <\/em><\/a>Bioinformatics, 2019.<\/p>\n

Chen Y, Wang, Y, Salas, LA, Miller TW, MArottie, JD, Jenkins, NP, Cheng, C, Kettenbach, AN, Christensen, BC. Molecular and epigenetic profiles of BRCA1-like hormone-receptor positive breast tumors identified with the development and application of a copy number based classifier. <\/em><\/a>Breast Cancer Research, 2019.<\/p>\n

Salas, LA, Wiencke, JK, Koestler, DC, Christensen, BC, Kelsey, KT. Tracing human stem cell lineage during development using DNA methylation<\/em>.<\/a> Genome Research, 2018.<\/p>\n

Salas, LA, Koestler, DC, Butler, RA, Hansen, H, Wiencke, JK, Kelsey, KT, Christensen, BC. An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray<\/a>.<\/em> Genome Biology, 2018.<\/p>\n

Wilkins, OM, Titus, AJ, Salas, LA, Gui, J, Eliot, M, Butler, RA, Sturgis, EM, Li, G, Kelsey, KT, Christensen, BC. Genome-scale identification of microRNA-related SNPs associated with survival of head and neck squamous cell carcinoma<\/a>.<\/em> Cancer Epidemiology Biomarkers & Prevention, 2019.<\/p>\n

Thompson, JA, Christensen, BC, Marsit, CJ. Methylation-To-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, And Pathologic Complete Response in Multiple Cohorts<\/a>.<\/em> Scientific Reports, 2018.<\/p>\n

Titus, AJ, Way, GP, Johnson, KC, Christensen, BC.\u00a0Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes<\/em><\/a>. Scientific Reports, 2017.<\/p>\n

Salas, LA, Johnson, KC, Koestler, DC, O\u2019Sullivan, DE, Christensen, BC.\u00a0Integrative epigenetic and genetic pan-cancer somatic alteration portraits.<\/a>\u00a0<\/em>Epigenetics, 2017.<\/p>\n

Wiencke, JK, Koestler, DC, Salas, LA, Wiemels, JL, Roy, RP, Hansen, HM, Rice, T, McCoy, LS, Bracci, PM, Molinaro, AM, Kelsey, KT, Wrensch, MR, Christensen, BC.\u00a0Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival.<\/a>\u00a0<\/em>Clinical Epigenetics, 2017.<\/p>\n

Wilkins, OM, Titus, AJ, Gui, J, Eliot, M, Butler, RA, Sturgis, EM, Li, G, Kelsey, KT, Christensen, BC.\u00a0Genome-scale identification of microRNA-related SNPs associated with risk of head and neck squamous cell carcinoma.<\/a><\/em>\u00a0Carcinogenesis,\u00a02017.<\/p>\n

Johnson, KC, Houseman, EA, King, JE, von Hermann, KM, Fadul, CE, Christensen, BC.\u00a05-hydroxymethylcytosine localizes to enhancer elements and is associated with patient survival in glioblastoma<\/em><\/a>.\u00a0<\/em>Nature Communications,\u00a02016.<\/p>\n

Houseman, EA, Johnson, KC, Christensen, BC.\u00a0OxyBS: Estimation of 5-methylcytosine and 5-hydroxymethylcytosine from tandem treated oxidative bisulfite and bisulfite DNA<\/a>.<\/em>\u00a0Bioinformatics, 2016<\/p>\n

Titus, AJ, Houseman, AE, Johnson, KC,\u00a0Christensen, BC.\u00a0m<\/a><\/em>ethyLiftover: cross-platform genomic DNA methylation data integration<\/a>.\u00a0<\/em>Bioinformatics, 2016<\/p>\n

Koestler, DC, USset, J, Christensen, BC, Marsit, CJ, Karagas, MR, Kelsey, KT, Wiencke, JK.\u00a0<\/a>DNA methylation-derived neutrophil-to-lymphocyte ratio (mdNLR): an epigenetic tool to explore cancer inflammation and outcomes.<\/a><\/em>\u00a0Cancer Epidemiology Biomarkers and Prevention,\u00a02016<\/p>\n

Koestler, DC, Jones, MJ, Usset, J, Christensen, BC, Butler, RA, Kober, MS, Wiencke, JK, Kelsey, KT.\u00a0Improving cell mixture convolution by identifying optimal DNA methylation libraries (IDOL)<\/a>.\u00a0<\/em>BMC Bioinformatics, 2016.<\/p>\n

O'Sullivan, DE, Johnson, KC, Skinner, L, Koestler, DC, Christensen, BC.\u00a0Epigenetic and genetic burden measures are associated with tumor characteristics in invasive breast carcinoma<\/a>.\u00a0<\/em>Epigenetics, 2016.<\/p>\n

Green, BB, Houseman, EA, Johnson, KC, Guerin, DJ, Armstrong, DA, Christensen, BC, Marsit, CJ.\u00a05-hydroxymethylcytosine and 5-methylcytosine are uniquely distributed within the term placenta epigenome and are associated with gene expression<\/a>.\u00a0<\/em>(In Press), The FASEB Journal, 2016.<\/p>\n

Johnson KC, \u00a0Koestler DC, Fleischer T, Chen P, Jensen EG, Marotti EG, Onega T, Kristensen VN, Christensen BC.\u00a0DNA methylation in ductal carcinoma in situ related with future development of invasive breast cancer.<\/a>\u00a0Clinical Epigenetics 2015.<\/p>\n

Johnson KC, Koestler DC, Cheng C, Christensen BC.\u00a0Age-related DNA methylation in normal breast tissue and its relationship with invasive breast tumor methylation.<\/em><\/a>\u00a0Epigenetics 2014<\/p>\n

Fleischer, T, Johnson, KC, Edvardsen, H, Touleimat, N, Klajic, J, Riis, MLH, Haakensen, \u00a0VD, W\u00e4rnberg, F, Naume, B, Helland, A, B\u00f8rresen, AL, Tost, J, Frigessi, A, Christensen, BC, Kristensen, VN.\u00a0Genome-wide DNA methylation profiles in progression to in situ and invasive carcinoma of the breast with impact on gene transcription and prognosis.<\/em>\u00a0<\/em><\/a>Genome Biology 2014<\/p>\n

Ung, M, Ma, X, Johnson, KC, Christensen, BC, Cheng, C.\u00a0Effect of estrogen receptor alpha binding on functional DNA methylation in breast cancer<\/a>.<\/em>\u00a0<\/em>Epigenetics 2014.<\/p>\n

Langevin, SM, Christensen, BC.\u00a0Let-7 microRNA binding-site polymorphism in the 3\u2019 UTR of KRAS and colorectal cancer outcome: a systematic review and meta-analysis.<\/em>\u00a0<\/em><\/a>Cancer Medicine 2014.<\/p>\n

Houseman, EA,\u00a0Accomando, WP,\u00a0Koestler, DC,\u00a0Christensen, BC,\u00a0Marsit, CJ,\u00a0Nelson, HH,\u00a0Wiencke, JK,\u00a0Kelsey, KT.\u00a0DNA methylation arrays as surrogate measures of cell mixture distribution.<\/em><\/a>\u00a0BMC Bioinformatics 2012<\/p>\n

Christensen, BC,\u00a0Smith, AS, Zheng, S, Koestler, DC, Houseman, EA, Marsit, CJ, Wrensch, MR, Wiemels, JL, Nelson, HH, Karagas, MR, Kelsey, KT, Wiencke, JK.\u00a0DNA methylation, isocitrate dehydrogenase mutation, and survival in glioma.<\/em>\u00a0<\/a>Journal of the National Cancer Institute 2011<\/p>\n

Christensen, BC,\u00a0Avissar-Whiting, M, Oullet, LG, McClean, MD, Marsit, CJ, Kelsey, KT.\u00a0Mature miRNA sequence polymorphism in MIR196A2 is associated with risk and prognosis of head and neck cancer<\/a>.<\/em>\u00a0<\/em>Clinical Cancer Research 2011.<\/p>\n

Christensen, BC,\u00a0Houseman, EA, Poage, GM, Godleski, JJ, Bueno, R, Sugarbaker, DJ,\u00a0Wiencke, JK, Nelson, HH, Marsit, CJ, Kelsey, KT.\u00a0Integrated profiling of DNA methylation and copy number reveals global, not local correlation between epigenetic and genetic alterations in pleural mesothelioma.<\/em><\/a>\u00a0Cancer Research 2010<\/p>\n

Christensen, BC,\u00a0Houseman, EA, Marsit, CJ, Zheng, S, Wrensch, MR, Wiemels, JL, Nelson, HH, Karagas, MR, Padbury, JF, Bueno, R, Sugarbaker, DJ, Yeh, RF, Wiencke, JK, Kelsey, KT.\u00a0Aging and environmental exposures alter tissue-specific DNA methylation dependent upon CpG island context.\u00a0<\/em><\/a>PLOS Genetics 2009<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Google Scholar\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0PubMed\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0ResearchGate Lee MK, Brown MS, Wilkins OM, Pattabiraman DR, Christensen BC. Distinct cytosine modification profiles define epithelial-to-mesenchymal cell-state transitions. Epigenomics, 2022. Salas LA, Stewart TG, Mobley BC, Peng C, Liu J, Loganathan SN, Wang J, Ma Y, Berger MS, [\u2026] <\/p>\n

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