Jaeyun Sung, PhD

  • 858 Citations
  • 10 Scopus h-Index
20082019
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Research Output 2008 2019

  • 858 Citations
  • 10 Scopus h-Index
  • 12 Article
  • 3 Conference contribution
  • 3 Review article
2019

Postmenopause as a key factor in the composition of the Endometrial Cancer Microbiome (ECbiome)

Walsh, D. M., Hokenstad, A. N., Chen, J., Sung, J., Jenkins, G. D., Chia, N., Nelson, H., Mariani, A. & Walther-Antonio, M. R. S., Dec 1 2019, In : Scientific reports. 9, 1, 19213.

Research output: Contribution to journalArticle

Open Access
Postmenopause
Microbiota
Endometrial Neoplasms
Menopause
Ulcer
2018
17 Citations (Scopus)

Distinct microbes, metabolites, and ecologies define the microbiome in deficient and proficient mismatch repair colorectal cancers

Hale, V. L., Jeraldo, P., Chen, J., Mundy, M., Yao, J., Priya, S., Keeney, G., Lyke, K., Ridlon, J., White, B. A., French, A. J., Thibodeau, S. N., Diener, C., Resendis-Antonio, O., Gransee, J., Dutta, T., Petterson, X. M., Sung, J., Blekhman, R., Boardman, L. A. & 3 others, Larson, D., Nelson, H. & Chia, N. D., Oct 31 2018, In : Genome Medicine. 10, 1, 1 p.

Research output: Contribution to journalArticle

DNA Mismatch Repair
Microbiota
Ecology
Colorectal Neoplasms
Microbial Interactions
3 Citations (Scopus)

Metabolomic profiling of portal blood and bile reveals metabolic signatures of primary sclerosing cholangitis

Tietz-Bogert, P. S., Kim, M., Cheung, A., Tabibian, J. H., Heimbach, J. K., Rosen, C. B., Nandakumar, M., Lazaridis, K. N., La Russo, N. F., Sung, J. & O’hara, S. P., Oct 16 2018, In : International Journal of Molecular Sciences. 19, 10, 3188.

Research output: Contribution to journalArticle

Sclerosing Cholangitis
Metabolomics
metabolites
Bile
serums
60 Citations (Scopus)

Strain Tracking Reveals the Determinants of Bacterial Engraftment in the Human Gut Following Fecal Microbiota Transplantation

Smillie, C. S., Sauk, J., Gevers, D., Friedman, J., Sung, J., Youngster, I., Hohmann, E. L., Staley, C., Khoruts, A., Sadowsky, M. J., Allegretti, J. R., Smith, M. B., Xavier, R. J. & Alm, E. J., Feb 14 2018, In : Cell Host and Microbe. 23, 2, p. 229-240.e5

Research output: Contribution to journalArticle

Clostridium difficile
Microbiota
Tissue Donors
Bacteria
Clostridium Infections
2017
42 Citations (Scopus)

Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis

Sung, J., Kim, S., Cabatbat, J. J. T., Jang, S., Jin, Y. S., Jung, G. Y., Chia, N. D. & Kim, P. J., Jun 6 2017, In : Nature Communications. 8, 15393.

Research output: Contribution to journalArticle

microorganisms
Metabolic Networks and Pathways
Microbiota
Medical problems
Macromolecules
2016
15 Citations (Scopus)

Fumarate-mediated persistence of Escherichia coli against antibiotics

Kim, J. S., Cho, D. H., Heo, P., Jung, S. C., Park, M., Oh, E. J., Sung, J., Kim, P. J., Lee, S. C., Lee, D. H., Lee, S., Lee, C. H., Shin, D., Jin, Y. S. & Kweon, D. H., Apr 1 2016, In : Antimicrobial Agents and Chemotherapy. 60, 4, p. 2232-2240 9 p.

Research output: Contribution to journalArticle

Fumarates
Succinate Dehydrogenase
Escherichia coli
Anti-Bacterial Agents
Operon
2015
16 Citations (Scopus)

Metabolic modeling with Big Data and the gut microbiome

Sung, J., Hale, V., Merkel, A. C., Kim, P. J. & Chia, N. D., Aug 10 2015, (Accepted/In press) In : Applied and Translational Genomics.

Research output: Contribution to journalArticle

Microbiota
Metabolic Networks and Pathways
Ecology
Biomarkers
Research Personnel
8 Citations (Scopus)

Uncovering the nutritional landscape of food

Kim, S., Sung, J., Foo, M., Jin, Y. S. & Kim, P. J., Mar 13 2015, In : PLoS One. 10, 3, e0118697.

Research output: Contribution to journalArticle

Nutrients
Food
nutrients
nutrient balance
nutrient requirements
2014
10 Citations (Scopus)

Measuring the effect of inter-study variability on estimating prediction error

Ma, S., Sung, J., Magis, A. T., Wang, Y., Geman, D. & Price, N. D., Oct 17 2014, In : PLoS One. 9, 10, e110840.

Research output: Contribution to journalArticle

Validation Studies
Phenotype
phenotype
prediction
Testing
31 Citations (Scopus)

Systems approach to neurodegenerative disease biomarker discovery

Lausted, C., Lee, I., Zhou, Y., Qin, S., Sung, J., Price, N. D., Hood, L. & Wang, K., 2014, In : Annual Review of Pharmacology and Toxicology. 54, p. 457-481 25 p.

Research output: Contribution to journalReview article

Neurodegenerative diseases
Biomarkers
Systems Analysis
Neurodegenerative Diseases
Proteomics
2013
7 Citations (Scopus)

Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures

Sung, J., Kim, P. J., Ma, S., Funk, C. C., Magis, A. T., Wang, Y., Hood, L., Geman, D. & Price, N. D., Jul 2013, In : PLoS Computational Biology. 9, 7, e1003148.

Research output: Contribution to journalArticle

Transcriptome
transcriptome
Brain Neoplasms
brain
cancer
2012
56 Citations (Scopus)

Molecular signatures from omics data: From chaos to consensus

Sung, J., Wang, Y., Chandrasekaran, S., Witten, D. M. & Price, N. D., Aug 2012, In : Biotechnology Journal. 7, 8, p. 946-957 12 p.

Research output: Contribution to journalReview article

Precision Medicine
Technology
Sensitivity and Specificity
Therapeutics
Datasets
2010

Lung disease diagnosis from gene expression profiles

Ma, S., Sung, J., Wang, Y. & Price, N. D., 2010, 10AIChE - 2010 AIChE Annual Meeting, Conference Proceedings.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pulmonary diseases
Gene expression
Genes
Biomarkers
Microarrays
55 Citations (Scopus)

Relative expression analysis for molecular cancer diagnosis and prognosis

Eddy, J. A., Sung, J., Geman, D. & Price, N. D., Apr 2010, In : Technology in Cancer Research and Treatment. 9, 2, p. 149-159 11 p.

Research output: Contribution to journalReview article

Neoplasms
Phenotype
Thrombospondin 1
Inborn Genetic Diseases
Molecular Pathology
503 Citations (Scopus)

The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Shi, L., Campbell, G., Jones, W. D., Campagne, F., Wen, Z., Walker, S. J., Su, Z., Chu, T. M., Goodsaid, F. M., Pusztai, L., Shaughnessy, J. D., Oberthuer, A., Thomas, R. S., Paules, R. S., Fielden, M., Barlogie, B., Chen, W., Du, P., Fischer, M., Furlanello, C. & 182 others, Gallas, B. D., Ge, X., Megherbi, D. B., Symmans, W. F., Wang, M. D., Zhang, J., Bitter, H., Brors, B., Bushel, P. R., Bylesjo, M., Chen, M., Cheng, J., Cheng, J., Chou, J., Davison, T. S., Delorenzi, M., Deng, Y., Devanarayan, V., Dix, D. J., Dopazo, J., Dorff, K. C., Elloumi, F., Fan, J., Fan, S., Fan, X., Fang, H., Gonzaludo, N., Hess, K. R., Hong, H., Huan, J., Irizarry, R. A., Judson, R., Juraeva, D., Lababidi, S., Lambert, C. G., Li, L., Li, Y., Li, Z., Lin, S. M., Liu, G., Lobenhofer, E. K., Luo, J., Luo, W., McCall, M. N., Nikolsky, Y., Pennello, G. A., Perkins, R. G., Philip, R., Popovici, V., Price, N. D., Qian, F., Scherer, A., Shi, T., Shi, W., Sung, J., Thierry-Mieg, D., Thierry-Mieg, J., Thodima, V., Trygg, J., Vishnuvajjala, L., Wang, S. J., Wu, J., Wu, Y., Xie, Q., Yousef, W. A., Zhang, L., Zhang, X., Zhong, S., Zhou, Y., Zhu, S., Arasappan, D., Bao, W., Lucas, A. B., Berthold, F., Brennan, R. J., Buness, A., Catalano, J. G., Chang, C., Chen, R., Cheng, Y., Cui, J., Czika, W., Demichelis, F., Deng, X., Dosymbekov, D., Eils, R., Feng, Y., Fostel, J., Fulmer-Smentek, S., Fuscoe, J. C., Gatto, L., Ge, W., Goldstein, D. R., Guo, L., Halbert, D. N., Han, J., Harris, S. C., Hatzis, C., Herman, D., Huang, J., Jensen, R. V., Jiang, R., Johnson, C. D., Jurman, G., Kahlert, Y., Khuder, S. A., Kohl, M., Li, J., Lee, L., Li, M., Li, Q. Z., Li, S., Li, Z., Liu, J., Liu, Y., Liu, Z., Meng, L., Madera, M., Martinez-Murillo, F., Medina, I., Meehan, J., Miclaus, K., Moffitt, R. A., Montaner, D., Mukherjee, P., Mulligan, G. J., Neville, P., Nikolskaya, T., Ning, B., Page, G. P., Parker, J., Parry, R. M., Peng, X., Peterson, R. L., Phan, J. H., Quanz, B., Ren, Y., Riccadonna, S., Roter, A. H., Samuelson, F. W., Schumacher, M. M., Shambaugh, J. D., Shi, Q., Shippy, R., Si, S., Smalter, A., Sotiriou, C., Soukup, M., Staedtler, F., Steiner, G., Stokes, T. H., Sun, Q., Tan, P. Y., Tang, R., Tezak, Z., Thorn, B., Tsyganova, M., Turpaz, Y., Vega, S. C., Visintainer, R., Von Frese, J., Wang, C., Wang, E., Wang, J., Wang, W., Westermann, F., Willey, J. C., Woods, M., Wu, S., Xiao, N., Xu, J., Xu, L., Yang, L., Zeng, X., Zhang, J., Zheng, L., Zhang, M., Zhao, C., Puri, R. K., Scherf, U., Tong, W. & Wolfinger, R. D., Aug 2010, In : Nature Biotechnology. 28, 8, p. 827-838 12 p.

Research output: Contribution to journalArticle

Microarrays
Quality Control
Quality control
Gene Expression
Multiple Myeloma
2009
35 Citations (Scopus)

Sequential delivery of dexamethasone and VEGF to control local tissue response for carbon nanotube fluorescence based micro-capillary implantable sensors

Sung, J., Barone, P. W., Kong, H. & Strano, M. S., Feb 2009, In : Biomaterials. 30, 4, p. 622-631 10 p.

Research output: Contribution to journalArticle

Carbon Nanotubes
Dexamethasone
Vascular Endothelial Growth Factor A
Carbon nanotubes
Fluorescence
2008

Panel of gene-pair relative expression classifiers for stratifying various cancer and non-cancer diseases of the human brain

Sung, J. & Price, N. D., 2008, AIChE100 - 2008 AIChE Annual Meeting, Conference Proceedings.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Classifiers
Genes

Sequential delivery of dexamethasone and vegf to control local tissue response for carbon nanotube fluorescence based micro-capillary implantable sensors

Sung, J., Barone, P. W., Kong, H. J. & Strano, M. S., 2008, AIChE100 - 2008 AIChE Annual Meeting, Conference Proceedings.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Carbon nanotubes
Fluorescence
Tissue
Sensors