List of Faculty Publications

Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wühr, Martin | Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter | Akey, Joshua

Filters: Keyword is Humans  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
M. D. Chikina and Troyanskaya, O. G., Accurate quantification of functional analogy among close homologs., PLoS Comput Biol, vol. 7, no. 2, p. e1001074, 2011.
D. Gresham, Usaite, R., Germann, S. Manuela, Lisby, M., Botstein, D., and Regenberg, B., Adaptation to diverse nitrogen-limited environments by deletion or extrachromosomal element formation of the GAP1 locus., Proc Natl Acad Sci U S A, vol. 107, no. 43, pp. 18551-6, 2010.
C. T. Murphy, Aging: miRacles of longevity?, Curr Biol, vol. 20, no. 24, pp. R1076-8, 2010.
T. V. Morozova, Ayroles, J. F., Jordan, K. W., Duncan, L. H., Carbone, M. Anna, Lyman, R. F., Stone, E. A., Govindaraju, D. R., R Ellison, C., Mackay, T. F. C., and Anholt, R. R. H., Alcohol sensitivity in Drosophila: translational potential of systems genetics., Genetics, vol. 183, no. 2, pp. 733-45, 1SI-12SI, 2009.
K. Pfeifer and Tilghman, S. M., Allele-specific gene expression in mammals: the curious case of the imprinted RNAs., Genes Dev, vol. 8, no. 16, pp. 1867-74, 1994.
S. R. Browning, Browning, B. L., Zhou, Y., Tucci, S., and Akey, J. M., Analysis of Human Sequence Data Reveals Two Pulses of Archaic Denisovan Admixture., Cell, vol. 173, no. 1, pp. 53-61.e9, 2018.
J. F. Ayroles and Gibson, G., Analysis of variance of microarray data., Methods Enzymol, vol. 411, pp. 214-33, 2006.
T. Sharpee, Rust, N. C., and Bialek, W., Analyzing neural responses to natural signals: maximally informative dimensions., Neural Comput, vol. 16, no. 2, pp. 223-50, 2004.
P. Mehta and Gregor, T., Approaching the molecular origins of collective dynamics in oscillating cell populations., Curr Opin Genet Dev, vol. 20, no. 6, pp. 574-80, 2010.
S. L. Grady, Purdy, J. G., Rabinowitz, J. D., and Shenk, T., Argininosuccinate synthetase 1 depletion produces a metabolic state conducive to herpes simplex virus 1 infection., Proc Natl Acad Sci U S A, vol. 110, no. 51, pp. E5006-15, 2013.
N. N. Pavlova, Hui, S., Ghergurovich, J. M., Fan, J., Intlekofer, A. M., White, R. M., Rabinowitz, J. D., Thompson, C. B., and Zhang, J., As Extracellular Glutamine Levels Decline, Asparagine Becomes an Essential Amino Acid., Cell Metab, vol. 27, no. 2, pp. 428-438.e5, 2018.
J. D. Rabinowitz and White, E., Autophagy and metabolism., Science, vol. 330, no. 6009, pp. 1344-8, 2010.
C
S. Luo and Murphy, C. T., Caenorhabditis elegans reproductive aging: Regulation and underlying mechanisms., Genesis, vol. 49, no. 2, pp. 53-65, 2011.
Q. Bao, Lu, W., Rabinowitz, J. D., and Shi, Y., Calcium blocks formation of apoptosome by preventing nucleotide exchange in Apaf-1., Mol Cell, vol. 25, no. 2, pp. 181-92, 2007.
L. Jo Kurihara, Semenova, E., Miller, W., Ingram, R. S., Guan, X. - J., and Tilghman, S. M., Candidate genes required for embryonic development: a comparative analysis of distal mouse chromosome 14 and human chromosome 13q22., Genomics, vol. 79, no. 2, pp. 154-61, 2002.
G. Jiménez, Shvartsman, S. Y., and Paroush, Z. 'ev, The Capicua repressor--a general sensor of RTK signaling in development and disease., J Cell Sci, vol. 125, no. Pt 6, pp. 1383-91, 2012.
R. DiLoreto and Murphy, C. T., The cell biology of aging., Mol Biol Cell, vol. 26, no. 25, pp. 4524-31, 2015.
J. R. Pollack, van de Rijn, M., and Botstein, D., Challenges in developing a molecular characterization of cancer., Semin Oncol, vol. 29, no. 3, pp. 280-5, 2002.
C. S. Greene and Troyanskaya, O. G., Chapter 2: Data-driven view of disease biology., PLoS Comput Biol, vol. 8, no. 12, p. e1002816, 2012.
S. A. McCarroll, Murphy, C. T., Zou, S., Pletcher, S. D., Chin, C. - S., Jan, Y. Nung, Kenyon, C., Bargmann, C. I., and Li, H., Comparing genomic expression patterns across species identifies shared transcriptional profile in aging., Nat Genet, vol. 36, no. 2, pp. 197-204, 2004.
D. Gresham, Dunham, M. J., and Botstein, D., Comparing whole genomes using DNA microarrays., Nat Rev Genet, vol. 9, no. 4, pp. 291-302, 2008.
P. Jiang, Singh, M., and Coller, H. A., Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay., PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
S. H Wiley, Shvartsman, S. Y., and Lauffenburger, D. A., Computational modeling of the EGF-receptor system: a paradigm for systems biology., Trends Cell Biol, vol. 13, no. 1, pp. 43-50, 2003.
N. Slavov, Airoldi, E. M., van Oudenaarden, A., and Botstein, D., A conserved cell growth cycle can account for the environmental stress responses of divergent eukaryotes., Mol Biol Cell, vol. 23, no. 10, pp. 1986-97, 2012.
A. T. Hark, Schoenherr, C. J., Katz, D. J., Ingram, R. S., Levorse, J. M., and Tilghman, S. M., CTCF mediates methylation-sensitive enhancer-blocking activity at the H19/Igf2 locus., Nature, vol. 405, no. 6785, pp. 486-9, 2000.
D
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
W. Ju, Greene, C. S., Eichinger, F., Nair, V., Hodgin, J. B., Bitzer, M., Lee, Y. -suk, Zhu, Q., Kehata, M., Li, M., Jiang, S., Rastaldi, M. Pia, Cohen, C. D., Troyanskaya, O. G., and Kretzler, M., Defining cell-type specificity at the transcriptional level in human disease., Genome Res, vol. 23, no. 11, pp. 1862-73, 2013.
S. Neumann, Hansen, C. H., Wingreen, N. S., and Sourjik, V., Differences in signalling by directly and indirectly binding ligands in bacterial chemotaxis., EMBO J, vol. 29, no. 20, pp. 3484-95, 2010.
H. Zhao, Langerød, A., Ji, Y., Nowels, K. W., Nesland, J. M., Tibshirani, R., Bukholm, I. K., Kåresen, R., Botstein, D., Børresen-Dale, A. - L., and Jeffrey, S. S., Different gene expression patterns in invasive lobular and ductal carcinomas of the breast., Mol Biol Cell, vol. 15, no. 6, pp. 2523-36, 2004.
P. F. Przytycki and Singh, M., Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes., Genome Med, vol. 9, no. 1, p. 79, 2017.
D. Mancini-Dinardo, Steele, S. J. S., Ingram, R. S., and Tilghman, S. M., A differentially methylated region within the gene Kcnq1 functions as an imprinted promoter and silencer., Hum Mol Genet, vol. 12, no. 3, pp. 283-94, 2003.
D. Botstein and Risch, N., Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease., Nat Genet, vol. 33 Suppl, pp. 228-37, 2003.
D. Ghersi and Singh, M., Disentangling function from topology to infer the network properties of disease genes., BMC Syst Biol, vol. 7, p. 5, 2013.
K. H. Desai, Tan, C. Seng, Leek, J. T., Maier, R. V., Tompkins, R. G., and Storey, J. D., Dissecting inflammatory complications in critically injured patients by within-patient gene expression changes: a longitudinal clinical genomics study., PLoS Med, vol. 8, no. 9, p. e1001093, 2011.
W. Bailis, Shyer, J. A., Zhao, J., Canaveras, J. Carlos Gar, Khazal, F. J. Al, Qu, R., Steach, H. R., Bielecki, P., Khan, O., Jackson, R., Kluger, Y., Maher, L. J., Rabinowitz, J., Craft, J., and Flavell, R. A., Distinct modes of mitochondrial metabolism uncouple T cell differentiation and function., Nature, vol. 571, no. 7765, pp. 403-407, 2019.
L. Vastag, Koyuncu, E., Grady, S. L., Shenk, T. E., and Rabinowitz, J. D., Divergent effects of human cytomegalovirus and herpes simplex virus-1 on cellular metabolism., PLoS Pathog, vol. 7, no. 7, p. e1002124, 2011.
J. Isaac Murray, Whitfield, M. L., Trinklein, N. D., Myers, R. M., Brown, P. O., and Botstein, D., Diverse and specific gene expression responses to stresses in cultured human cells., Mol Biol Cell, vol. 15, no. 5, pp. 2361-74, 2004.
H. Zhao, Whitfield, M. L., Xu, T., Botstein, D., and Brooks, J. D., Diverse effects of methylseleninic acid on the transcriptional program of human prostate cancer cells., Mol Biol Cell, vol. 15, no. 2, pp. 506-19, 2004.
M. E. Garber, Troyanskaya, O. G., Schluens, K., Petersen, S., Thaesler, Z., Pacyna-Gengelbach, M., van de Rijn, M., Rosen, G. D., Perou, C. M., Whyte, R. I., Altman, R. B., Brown, P. O., Botstein, D., and Petersen, I., Diversity of gene expression in adenocarcinoma of the lung., Proc Natl Acad Sci U S A, vol. 98, no. 24, pp. 13784-9, 2001.
H. Y. Chang, Chi, J. - T., Dudoit, S., Bondre, C., van de Rijn, M., Botstein, D., and Brown, P. O., Diversity, topographic differentiation, and positional memory in human fibroblasts., Proc Natl Acad Sci U S A, vol. 99, no. 20, pp. 12877-82, 2002.
R. Shyamsundar, Kim, Y. H., Higgins, J. P., Montgomery, K., Jorden, M., Sethuraman, A., van de Rijn, M., Botstein, D., Brown, P. O., and Pollack, J. R., A DNA microarray survey of gene expression in normal human tissues., Genome Biol, vol. 6, no. 3, p. R22, 2005.
Y. Ahmed, Nouri, A., and Wieschaus, E., Drosophila Apc1 and Apc2 regulate Wingless transduction throughout development., Development, vol. 129, no. 7, pp. 1751-62, 2002.
S. Hayashi, Rubinfeld, B., Souza, B., Polakis, P., Wieschaus, E., and Levine, A. J., A Drosophila homolog of the tumor suppressor gene adenomatous polyposis coli down-regulates beta-catenin but its zygotic expression is not essential for the regulation of Armadillo., Proc Natl Acad Sci U S A, vol. 94, no. 1, pp. 242-7, 1997.
J. Munger, Bajad, S. U., Coller, H. A., Shenk, T., and Rabinowitz, J. D., Dynamics of the cellular metabolome during human cytomegalovirus infection., PLoS Pathog, vol. 2, no. 12, p. e132, 2006.
E
X. Nuttle, Giannuzzi, G., Duyzend, M. H., Schraiber, J. G., Narvaiza, I., Sudmant, P. H., Penn, O., Chiatante, G., Malig, M., Huddleston, J., Benner, C., Camponeschi, F., Ciofi-Baffoni, S., Stessman, H. A. F., Marchetto, M. C. N., Denman, L., Harshman, L., Baker, C., Raja, A., Penewit, K., Janke, N., W Tang, J., Ventura, M., Banci, L., Antonacci, F., Akey, J. M., Amemiya, C. T., Gage, F. H., Reymond, A., and Eichler, E. E., Emergence of a Homo sapiens-specific gene family and chromosome 16p11.2 CNV susceptibility., Nature, vol. 536, no. 7615, pp. 205-9, 2016.
J. - T. Chi, Chang, H. Y., Haraldsen, G., Jahnsen, F. L., Troyanskaya, O. G., Chang, D. S., Wang, Z., Rockson, S. G., van de Rijn, M., Botstein, D., and Brown, P. O., Endothelial cell diversity revealed by global expression profiling., Proc Natl Acad Sci U S A, vol. 100, no. 19, pp. 10623-8, 2003.
Y. Zhang, Kurupati, R., Liu, L., Zhou, X. Yang, Zhang, G., Hudaihed, A., Filisio, F., Giles-Davis, W., Xu, X., Karakousis, G. C., Schuchter, L. M., Xu, W., Amaravadi, R., Xiao, M., Sadek, N., Krepler, C., Herlyn, M., Freeman, G. J., Rabinowitz, J. D., and Ertl, H. C. J., Enhancing CD8(+) T Cell Fatty Acid Catabolism within a Metabolically Challenging Tumor Microenvironment Increases the Efficacy of Melanoma Immunotherapy., Cancer Cell, vol. 32, no. 3, pp. 377-391.e9, 2017.
A. S. Futran, A Link, J., Seger, R., and Shvartsman, S. Y., ERK as a model for systems biology of enzyme kinetics in cells., Curr Biol, vol. 23, no. 21, pp. R972-9, 2013.
G. Rizki, Iwata, T. Naoko, Li, J., Riedel, C. G., Picard, C. Lafontaine, Jan, M., Murphy, C. T., and Lee, S. Sylvia, The evolutionarily conserved longevity determinants HCF-1 and SIR-2.1/SIRT1 collaborate to regulate DAF-16/FOXO., PLoS Genet, vol. 7, no. 9, p. e1002235, 2011.
A. V. Persikov and Singh, M., An expanded binding model for Cys2His2 zinc finger protein-DNA interfaces., Phys Biol, vol. 8, no. 3, p. 035010, 2011.
O. G. Vukmirovic and Tilghman, S. M., Exploring genome space., Nature, vol. 405, no. 6788, pp. 820-2, 2000.
C. Huttenhower, Haley, E. M., Hibbs, M. A., Dumeaux, V., Barrett, D. R., Coller, H. A., and Troyanskaya, O. G., Exploring the human genome with functional maps., Genome Res, vol. 19, no. 6, pp. 1093-106, 2009.
S. S. Jeffrey, Fero, M. J., Børresen-Dale, A. - L., and Botstein, D., Expression array technology in the diagnosis and treatment of breast cancer., Mol Interv, vol. 2, no. 2, pp. 101-9, 2002.
M. van de Rijn, Perou, C. M., Tibshirani, R., Haas, P., Kallioniemi, O., Kononen, J., Torhorst, J., Sauter, G., Zuber, M., Köchli, O. R., Mross, F., Dieterich, H., Seitz, R., Ross, D., Botstein, D., and Brown, P., Expression of cytokeratins 17 and 5 identifies a group of breast carcinomas with poor clinical outcome., Am J Pathol, vol. 161, no. 6, pp. 1991-6, 2002.
C. Rauskolb, Peifer, M., and Wieschaus, E., extradenticle, a regulator of homeotic gene activity, is a homolog of the homeobox-containing human proto-oncogene pbx1., Cell, vol. 74, no. 6, pp. 1101-12, 1993.
G
S. C. Linn, West, R. B., Pollack, J. R., Zhu, S., Hernandez-Boussard, T., Nielsen, T. O., Rubin, B. P., Patel, iv, R., Goldblum, J. R., Siegmund, D., Botstein, D., Brown, P. O., C Gilks, B., and van de Rijn, M., Gene expression patterns and gene copy number changes in dermatofibrosarcoma protuberans., Am J Pathol, vol. 163, no. 6, pp. 2383-95, 2003.
X. Chen, Cheung, S. Tim, So, S., Fan, S. Tat, Barry, C., Higgins, J., Lai, K. - M., Ji, J., Dudoit, S., Ng, I. O. L., van de Rijn, M., Botstein, D., and Brown, P. O., Gene expression patterns in human liver cancers., Mol Biol Cell, vol. 13, no. 6, pp. 1929-39, 2002.
M. E. Schaner, Ross, D. T., Ciaravino, G., Sorlie, T., Troyanskaya, O., Diehn, M., Wang, Y. C., Duran, G. E., Sikic, T. L., Caldeira, S., Skomedal, H., Tu, I. - P., Hernandez-Boussard, T., Johnson, S. W., O'Dwyer, P. J., Fero, M. J., Kristensen, G. B., Borresen-Dale, A. - L., Hastie, T., Tibshirani, R., van de Rijn, M., Teng, N. N., Longacre, T. A., Botstein, D., Brown, P. O., and Sikic, B. I., Gene expression patterns in ovarian carcinomas., Mol Biol Cell, vol. 14, no. 11, pp. 4376-86, 2003.
T. Sørlie, Perou, C. M., Fan, C., Geisler, S., Aas, T., Nobel, A., Anker, G., Akslen, L. A., Botstein, D., Børresen-Dale, A. - L., and Lønning, P. Eystein, Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer., Mol Cancer Ther, vol. 5, no. 11, pp. 2914-8, 2006.
J. Lapointe, Li, C., Higgins, J. P., van de Rijn, M., Bair, E., Montgomery, K., Ferrari, M., Egevad, L., Rayford, W., Bergerheim, U., Ekman, P., DeMarzo, A. M., Tibshirani, R., Botstein, D., Brown, P. O., Brooks, J. D., and Pollack, J. R., Gene expression profiling identifies clinically relevant subtypes of prostate cancer., Proc Natl Acad Sci U S A, vol. 101, no. 3, pp. 811-6, 2004.
Y. Liang, Diehn, M., Watson, N., Bollen, A. W., Aldape, K. D., M Nicholas, K., Lamborn, K. R., Berger, M. S., Botstein, D., Brown, P. O., and Israel, M. A., Gene expression profiling reveals molecularly and clinically distinct subtypes of glioblastoma multiforme., Proc Natl Acad Sci U S A, vol. 102, no. 16, pp. 5814-9, 2005.
H. Y. Chang, Sneddon, J. B., Alizadeh, A. A., Sood, R., West, R. B., Montgomery, K., Chi, J. - T., van de Rijn, M., Botstein, D., and Brown, P. O., Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds., PLoS Biol, vol. 2, no. 2, p. E7, 2004.
The Gene Ontology in 2010: extensions and refinements., Nucleic Acids Res, vol. 38, no. Database issue, pp. D331-5, 2010.
O. Alter, Brown, P. O., and Botstein, D., Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms., Proc Natl Acad Sci U S A, vol. 100, no. 6, pp. 3351-6, 2003.
J. M. Rossi, Chen, H., and Tilghman, S. M., Genetic map of the fused locus on mouse chromosome 17., Genomics, vol. 23, no. 1, pp. 178-84, 1994.
T. F. C. Mackay, Stone, E. A., and Ayroles, J. F., The genetics of quantitative traits: challenges and prospects., Nat Rev Genet, vol. 10, no. 8, pp. 565-77, 2009.
K. Ranade, Hinds, D., Hsiung, C. Agnes, Chuang, L. - M., Chang, M. - S., Chen, Y. - T., Pesich, R., Hebert, J., Chen, Y. - D. I., Dzau, V., Olshen, R., Curb, D., Botstein, D., Cox, D. R., and Risch, N., A genome scan for hypertension susceptibility loci in populations of Chinese and Japanese origins., Am J Hypertens, vol. 16, no. 2, pp. 158-62, 2003.
V. Lakhina and Murphy, C. T., Genome Sequencing Fishes out Longevity Genes., Cell, vol. 163, no. 6, pp. 1312-3, 2015.
M. Diehn, Bhattacharya, R., Botstein, D., and Brown, P. O., Genome-scale identification of membrane-associated human mRNAs., PLoS Genet, vol. 2, no. 1, p. e11, 2006.
D. Botstein, Genome-sequencing anniversary. Fruits of genome sequences for biology., Science, vol. 331, no. 6020, p. 1025, 2011.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G., Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder., Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
M. Diehn, Alizadeh, A. A., Rando, O. J., Liu, C. Long, Stankunas, K., Botstein, D., Crabtree, G. R., and Brown, P. O., Genomic expression programs and the integration of the CD28 costimulatory signal in T cell activation., Proc Natl Acad Sci U S A, vol. 99, no. 18, pp. 11796-801, 2002.
O. Troyanskaya, "Getting started in..": a series not to miss., PLoS Comput Biol, vol. 3, no. 10, p. 1841, 2007.
J. Fan, Kamphorst, J. J., Mathew, R., Chung, M. K., White, E., Shlomi, T., and Rabinowitz, J. D., Glutamine-driven oxidative phosphorylation is a major ATP source in transformed mammalian cells in both normoxia and hypoxia., Mol Syst Biol, vol. 9, p. 712, 2013.
H
S. L. Grady, Hwang, J., Vastag, L., Rabinowitz, J. D., and Shenk, T., Herpes simplex virus 1 infection activates poly(ADP-ribose) polymerase and triggers the degradation of poly(ADP-ribose) glycohydrolase., J Virol, vol. 86, no. 15, pp. 8259-68, 2012.
K. L. Olszewski, Morrisey, J. M., Wilinski, D., Burns, J. M., Vaidya, A. B., Rabinowitz, J. D., and Llinás, M., Host-parasite interactions revealed by Plasmodium falciparum metabolomics., Cell Host Microbe, vol. 5, no. 2, pp. 191-9, 2009.
P. L. Nara, Tobin, G. J., A Chaudhuri, R., Trujillo, J. D., Lin, G., Cho, M. W., Levin, S. A., Ndifon, W., and Wingreen, N. S., How can vaccines against influenza and other viral diseases be made more effective?, PLoS Biol, vol. 8, no. 12, p. e1000571, 2010.
B. K. Jones, Levorse, J., and Tilghman, S. M., A human H19 transgene exhibits impaired paternal-specific imprint acquisition and maintenance in mice., Hum Mol Genet, vol. 11, no. 4, pp. 411-8, 2002.
L. J. Terry, Vastag, L., Rabinowitz, J. D., and Shenk, T., Human kinome profiling identifies a requirement for AMP-activated protein kinase during human cytomegalovirus infection., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 3071-6, 2012.
J. J. Kamphorst, Cross, J. R., Fan, J., de Stanchina, E., Mathew, R., White, E. P., Thompson, C. B., and Rabinowitz, J. D., Hypoxic and Ras-transformed cells support growth by scavenging unsaturated fatty acids from lysophospholipids., Proc Natl Acad Sci U S A, vol. 110, no. 22, pp. 8882-7, 2013.
I
R. J. Pelham, Rodgers, L., Hall, I., Lucito, R., Nguyen, K. C. Q., Navin, N., Hicks, J., Mu, D., Powers, S., Wigler, M., and Botstein, D., Identification of alterations in DNA copy number in host stromal cells during tumor progression., Proc Natl Acad Sci U S A, vol. 103, no. 52, pp. 19848-53, 2006.
M. L. Whitfield, Sherlock, G., Saldanha, A. J., Murray, J. I., Ball, C. A., Alexander, K. E., Matese, J. C., Perou, C. M., Hurt, M. M., Brown, P. O., and Botstein, D., Identification of genes periodically expressed in the human cell cycle and their expression in tumors., Mol Biol Cell, vol. 13, no. 6, pp. 1977-2000, 2002.
T. T. Marstrand and Storey, J. D., Identifying and mapping cell-type-specific chromatin programming of gene expression., Proc Natl Acad Sci U S A, vol. 111, no. 6, pp. E645-54, 2014.
C. J. Nirschl, Suárez-Fariñas, M., Izar, B., Prakadan, S., Dannenfelser, R., Tirosh, I., Liu, Y., Zhu, Q., K Devi, S. P., Carroll, S. L., Chau, D., Rezaee, M., Kim, T. - G., Huang, R., Fuentes-Duculan, J., Song-Zhao, G. X., Gulati, N., Lowes, M. A., King, S. L., Quintana, F. J., Lee, Y. -suk, Krueger, J. G., Sarin, K. Y., Yoon, C. H., Garraway, L., Regev, iv, A., Shalek, A. K., Troyanskaya, O. G., and Anandasabapathy, N., IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment., Cell, vol. 170, no. 1, pp. 127-141.e15, 2017.
A. K. Wong, Park, C. Y., Greene, C. S., Bongo, L. A., Guan, Y., and Troyanskaya, O. G., IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, vol. 40, no. Web Server issue, pp. W484-90, 2012.
B. M. Zee, Levin, R. S., Xu, B., LeRoy, G., Wingreen, N. S., and Garcia, B. A., In vivo residue-specific histone methylation dynamics., J Biol Chem, vol. 285, no. 5, pp. 3341-50, 2010.
G. Tkačik, Callan, C. G., and Bialek, W., Information capacity of genetic regulatory elements., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 78, no. 1 Pt 1, p. 011910, 2008.
A. L. Kauffman, Ashraf, J. M., M Corces-Zimmerman, R., Landis, J. N., and Murphy, C. T., Insulin signaling and dietary restriction differentially influence the decline of learning and memory with age., PLoS Biol, vol. 8, no. 5, p. e1000372, 2010.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
V. N. Kristensen, Vaske, C. J., Ursini-Siegel, J., Van Loo, P., Nordgard, S. H., Sachidanandam, R., Sørlie, T., Wärnberg, F., Haakensen, V. D., Helland, Å., Naume, B., Perou, C. M., Haussler, D., Troyanskaya, O. G., and Børresen-Dale, A. - L., Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 2802-7, 2012.
C. S. Greene and Troyanskaya, O. G., Integrative systems biology for data-driven knowledge discovery., Semin Nephrol, vol. 30, no. 5, pp. 443-54, 2010.
D. Ghersi and Singh, M., Interaction-based discovery of functionally important genes in cancers., Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
D. Gorenshteyn, Zaslavsky, E., Fribourg, M., Park, C. Y., Wong, A. K., Tadych, A., Hartmann, B. M., Albrecht, R. A., García-Sastre, A., Kleinstein, S. H., Troyanskaya, O. G., and Sealfon, S. C., Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases., Immunity, vol. 43, no. 3, pp. 605-14, 2015.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
S. M. Tilghman, It's all about the talent., Mol Biol Cell, vol. 21, no. 22, p. 3823, 2010.
D. Botstein, It's the data!, Mol Biol Cell, vol. 21, no. 1, pp. 4-6, 2010.
M
R. G. Endres and Wingreen, N. S., Maximum likelihood and the single receptor., Phys Rev Lett, vol. 103, no. 15, p. 158101, 2009.
M. Lagha, Bothma, J. P., and Levine, M., Mechanisms of transcriptional precision in animal development., Trends Genet, vol. 28, no. 8, pp. 409-16, 2012.
W. Lu, Su, X., Klein, M. S., Lewis, I. A., Fiehn, O., and Rabinowitz, J. D., Metabolite Measurement: Pitfalls to Avoid and Practices to Follow., Annu Rev Biochem, vol. 86, pp. 277-304, 2017.
E. Melamud, Vastag, L., and Rabinowitz, J. D., Metabolomic analysis and visualization engine for LC-MS data., Anal Chem, vol. 82, no. 23, pp. 9818-26, 2010.
C. Jang, Chen, L., and Rabinowitz, J. D., Metabolomics and Isotope Tracing., Cell, vol. 173, no. 4, pp. 822-837, 2018.
I. - P. Tu, Schaner, M., Diehn, M., Sikic, B. I., Brown, P. O., Botstein, D., and Fero, M. J., A method for detecting and correcting feature misidentification on expression microarrays., BMC Genomics, vol. 5, p. 64, 2004.
Y. Zhen and Andolfatto, P., Methods to detect selection on noncoding DNA., Methods Mol Biol, vol. 856, pp. 141-59, 2012.
J. R. Pollack, Sørlie, T., Perou, C. M., Rees, C. A., Jeffrey, S. S., Lonning, P. E., Tibshirani, R., Botstein, D., Børresen-Dale, A. - L., and Brown, P. O., Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors., Proc Natl Acad Sci U S A, vol. 99, no. 20, pp. 12963-8, 2002.
R. J. Morscher, Ducker, G. S., Li, S. Hsin- Jung, Mayer, J. A., Gitai, Z., Sperl, W., and Rabinowitz, J. D., Mitochondrial translation requires folate-dependent tRNA methylation., Nature, vol. 554, no. 7690, pp. 128-132, 2018.
B. Haarer, Viggiano, S., Hibbs, M. A., Troyanskaya, O. G., and Amberg, D. C., Modeling complex genetic interactions in a simple eukaryotic genome: actin displays a rich spectrum of complex haploinsufficiencies., Genes Dev, vol. 21, no. 2, pp. 148-59, 2007.
E. A. Stone and Ayroles, J. F., Modulated modularity clustering as an exploratory tool for functional genomic inference., PLoS Genet, vol. 5, no. 5, p. e1000479, 2009.
J. H. Millonig, Emerson, J. A., Levorse, J. M., and Tilghman, S. M., Molecular analysis of the distal enhancer of the mouse alpha-fetoprotein gene., Mol Cell Biol, vol. 15, no. 7, pp. 3848-56, 1995.
T. O. Nielsen, West, R. B., Linn, S. C., Alter, O., Knowling, M. A., O'Connell, J. X., Zhu, S., Fero, M., Sherlock, G., Pollack, J. R., Brown, P. O., Botstein, D., and van de Rijn, M., Molecular characterisation of soft tissue tumours: a gene expression study., Lancet, vol. 359, no. 9314, pp. 1301-7, 2002.
T. Caspary, Cleary, M. A., Baker, C. C., Guan, X. J., and Tilghman, S. M., Multiple mechanisms regulate imprinting of the mouse distal chromosome 7 gene cluster., Mol Cell Biol, vol. 18, no. 6, pp. 3466-74, 1998.
N
K. K. Benson, Hu, W., Weller, A. H., Bennett, A. H., Chen, E. R., Khetarpal, S. A., Yoshino, S., Bone, W. P., Wang, L., Rabinowitz, J. D., Voight, B. F., and Soccio, R. E., Natural human genetic variation determines basal and inducible expression of , an obesity-associated gene., Proc Natl Acad Sci U S A, vol. 116, no. 46, pp. 23232-23242, 2019.
E. Banks, Nabieva, E., Peterson, R., and Singh, M., NetGrep: fast network schema searches in interactomes., Genome Biol, vol. 9, no. 9, p. R138, 2008.
T. Sharpee and Bialek, W., Neural decision boundaries for maximal information transmission., PLoS One, vol. 2, no. 7, p. e646, 2007.
A. Davila, Liu, L., Chellappa, K., Redpath, P., Nakamaru-Ogiso, E., Paolella, L. M., Zhang, Z., Migaud, M. E., Rabinowitz, J. D., and Baur, J. A., Nicotinamide adenine dinucleotide is transported into mammalian mitochondria., Elife, vol. 7, 2018.
K. J. Arrow, Axelrod, J., Benacerraf, B., Berg, P., Bishop, J. M., Bloembergen, N., Brown, H. C., Cibelli, J., Cohen, S., Cooper, L. N., Corey, E. J., Cronin, J. W., Curl, R., Dulbecco, R., Fischer, E. H., Fitch, V. L., Fogel, R., Friedman, J. I., Furchgott, R. F., Gell-Mann, M., Gilbert, W., Gilman, A., Glaser, D., Glashow, S. L., Green, R. M., Greengard, P., Guillemin, R., Hayflick, L., Hauptman, H. A., Heckman, J. J., Heeger, A., Herschbach, D., Hubel, D. H., Hulse, R., Kandel, E., Karle, J., Klein, L. R., Kohn, W., Kornberg, A., Krebs, E. G., Lanza, R. P., Laughlin, R., Lederman, L., Lee, D. M., Lewis, E., Lipscomb, W., Marcus, R. A., McFadden, D., Merrifield, R. B., Merton, R., Modigliani, F., Molina, M. J., Murad, F., Nirenberg, M. W., North, D. C., Olah, G. A., Osheroff, D., Palade, G. E., Perl, M., Ramsey, N. F., Richter, B., Roberts, R. J., Samuelson, P. A., Schwartz, M., Sharp, P. A., Smalley, R. E., Smith, H. O., Solow, R. M., Stormer, H., Taube, H., Taylor, R., Thomas, E. D., Tobin, J., Tonegawa, S., Townes, C., Watson, J. D., Weinberg, S., Weller, T. H., West, M. D., Wieschaus, E. F., Wiesel, T. N., and Wilson, R. W., Nobel laureates' letter to President Bush., Washington Post, p. A02, 2001.
O. G. Troyanskaya, Garber, M. E., Brown, P. O., Botstein, D., and Altman, R. B., Nonparametric methods for identifying differentially expressed genes in microarray data., Bioinformatics, vol. 18, no. 11, pp. 1454-61, 2002.
O
A. L. Tyner, Godbout, R., Compton, R. S., and Tilghman, S. M., The ontogeny of alpha-fetoprotein gene expression in the mouse gastrointestinal tract., J Cell Biol, vol. 110, no. 4, pp. 915-27, 1990.
Y. -suk Lee, Krishnan, A., Zhu, Q., and Troyanskaya, O. G., Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies., Bioinformatics, vol. 29, no. 23, pp. 3036-44, 2013.
T. Caspary, Cleary, M. A., Perlman, E. J., Zhang, P., Elledge, S. J., and Tilghman, S. M., Oppositely imprinted genes p57(Kip2) and igf2 interact in a mouse model for Beckwith-Wiedemann syndrome., Genes Dev, vol. 13, no. 23, pp. 3115-24, 1999.
G. Tkačik, Walczak, A. M., and Bialek, W., Optimizing information flow in small genetic networks. III. A self-interacting gene., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 85, no. 4 Pt 1, p. 041903, 2012.
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., Organization of physical interactomes as uncovered by network schemas., PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
K. Dolinski and Botstein, D., Orthology and functional conservation in eukaryotes., Annu Rev Genet, vol. 41, pp. 465-507, 2007.
A. B. Wolf and Akey, J. M., Outstanding questions in the study of archaic hominin admixture., PLoS Genet, vol. 14, no. 5, p. e1007349, 2018.
M. Anna Carbone, Ayroles, J. F., Yamamoto, A., Morozova, T. V., West, S. A., Magwire, M. M., Mackay, T. F. C., and Anholt, R. R. H., Overexpression of myocilin in the Drosophila eye activates the unfolded protein response: implications for glaucoma., PLoS One, vol. 4, no. 1, p. e4216, 2009.
P
M. Levine, Paused RNA polymerase II as a developmental checkpoint., Cell, vol. 145, no. 4, pp. 502-11, 2011.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
S. Zemel, Bartolomei, M. S., and Tilghman, S. M., Physical linkage of two mammalian imprinted genes, H19 and insulin-like growth factor 2., Nat Genet, vol. 2, no. 1, pp. 61-5, 1992.
C. S. Greene and Troyanskaya, O. G., PILGRM: an interactive data-driven discovery platform for expert biologists., Nucleic Acids Res, vol. 39, no. Web Server issue, pp. W368-74, 2011.
W. R. Uhlmann, Bennett, R., Botkin, J. R., Botstein, D., Boughman, J. A., Chakravarti, A., Clayton, E. Wright, Kahn, J., Koenig, B., Murray, T. H., Olson, M. V., Rowley, J., Terry, S., and Valle, D., Planning the genome institute's future., Science, vol. 299, no. 5612, p. 1515; author reply 1515, 2003.
K. Ranade, Jorgenson, E., Sheu, W. H. - H., Pei, D., Hsiung, C. Agnes, Chiang, F. -tien, Chen, Y. - D. I., Pratt, R., Olshen, R. A., Curb, D., Cox, D. R., Botstein, D., and Risch, N., A polymorphism in the beta1 adrenergic receptor is associated with resting heart rate., Am J Hum Genet, vol. 70, no. 4, pp. 935-42, 2002.
J. H. Fong, Keating, A. E., and Singh, M., Predicting specificity in bZIP coiled-coil protein interactions., Genome Biol, vol. 5, no. 2, p. R11, 2004.
I. S. Lossos, Czerwinski, D. K., Alizadeh, A. A., Wechser, M. A., Tibshirani, R., Botstein, D., and Levy, R., Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes., N Engl J Med, vol. 350, no. 18, pp. 1828-37, 2004.
P. Barron Abitua, T Gainous, B., Kaczmarczyk, A. N., Winchell, C. J., Hudson, C., Kamata, K., Nakagawa, M., Tsuda, M., Kusakabe, T. G., and Levine, M., The pre-vertebrate origins of neurogenic placodes., Nature, vol. 524, no. 7566, pp. 462-5, 2015.
S. Heinicke, Livstone, M. S., Lu, C., Oughtred, R., Kang, F., Angiuoli, S. V., White, O., Botstein, D., and Dolinski, K., The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists., PLoS One, vol. 2, no. 8, p. e766, 2007.
C. I. Brannan, Dees, E. C., Ingram, R. S., and Tilghman, S. M., The product of the H19 gene may function as an RNA., Mol Cell Biol, vol. 10, no. 1, pp. 28-36, 1990.
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., Protein quantification across hundreds of experimental conditions., Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
S
K. R. Christie, Weng, S., Balakrishnan, R., Costanzo, M. C., Dolinski, K., Dwight, S. S., Engel, S. R., Feierbach, B., Fisk, D. G., Hirschman, J. E., Hong, E. L., Issel-Tarver, L., Nash, R., Sethuraman, A., Starr, B., Theesfeld, C. L., Andrada, R., Binkley, G., Dong, Q., Lane, C., Schroeder, M., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms., Nucleic Acids Res, vol. 32, no. Database issue, pp. D311-4, 2004.
E. Koyuncu, Purdy, J. G., Rabinowitz, J. D., and Shenk, T., Saturated very long chain fatty acids are required for the production of infectious human cytomegalovirus progeny., PLoS Pathog, vol. 9, no. 5, p. e1003333, 2013.
J. A. Zallen, Cohen, Y., Hudson, A. M., Cooley, L., Wieschaus, E., and Schejter, E. D., SCAR is a primary regulator of Arp2/3-dependent morphological events in Drosophila., J Cell Biol, vol. 156, no. 4, pp. 689-701, 2002.
G. J. Stephens, Osborne, L. C., and Bialek, W., Searching for simplicity in the analysis of neurons and behavior., Proc Natl Acad Sci U S A, vol. 108 Suppl 3, pp. 15565-71, 2011.
M. Peifer and Wieschaus, E., The segment polarity gene armadillo encodes a functionally modular protein that is the Drosophila homolog of human plakoglobin., Cell, vol. 63, no. 6, pp. 1167-76, 1990.
K. M. Chen, Cofer, E. M., Zhou, J., and Troyanskaya, O. G., Selene: a PyTorch-based deep learning library for sequence data., Nat Methods, vol. 16, no. 4, pp. 315-318, 2019.
S. Y. Shvartsman, Shooting from the hip: spatial control of signal release by intracellular waves., Proc Natl Acad Sci U S A, vol. 99, no. 14, pp. 9087-9, 2002.
Y. Pritykin and Singh, M., Simple topological features reflect dynamics and modularity in protein interaction networks., PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
R. Menon, Otto, E. A., Kokoruda, A., Zhou, J., Zhang, Z., Yoon, E., Chen, Y. - C., Troyanskaya, O., Spence, J. R., Kretzler, M., and Cebrián, C., Single-cell analysis of progenitor cell dynamics and lineage specification in the human fetal kidney., Development, vol. 145, no. 16, 2018.
S. M. Tilghman, The sins of the fathers and mothers: genomic imprinting in mammalian development., Cell, vol. 96, no. 2, pp. 185-93, 1999.
M. J. Rosenbluth, Crow, A., Shaevitz, J. W., and Fletcher, D. A., Slow stress propagation in adherent cells., Biophys J, vol. 95, no. 12, pp. 6052-9, 2008.
M. Diehn, Sherlock, G., Binkley, G., Jin, H., Matese, J. C., Hernandez-Boussard, T., Rees, C. A., J Cherry, M., Botstein, D., Brown, P. O., and Alizadeh, A. A., SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data., Nucleic Acids Res, vol. 31, no. 1, pp. 219-23, 2003.
J. Gollub, Ball, C. A., Binkley, G., Demeter, J., Finkelstein, D. B., Hebert, J. M., Hernandez-Boussard, T., Jin, H., Kaloper, M., Matese, J. C., Schroeder, M., Brown, P. O., Botstein, D., and Sherlock, G., The Stanford Microarray Database: data access and quality assessment tools., Nucleic Acids Res, vol. 31, no. 1, pp. 94-6, 2003.
N. Brenner, Agam, O., Bialek, W., and van Steveninck, Rde Ruyter, Statistical properties of spike trains: universal and stimulus-dependent aspects., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 66, no. 3 Pt 1, p. 031907, 2002.
J. C. Boldrick, Alizadeh, A. A., Diehn, M., Dudoit, S., Liu, C. Long, Belcher, C. E., Botstein, D., Staudt, L. M., Brown, P. O., and Relman, D. A., Stereotyped and specific gene expression programs in human innate immune responses to bacteria., Proc Natl Acad Sci U S A, vol. 99, no. 2, pp. 972-7, 2002.
J. W. Shaevitz, Super-resolution for a 3D world., Nat Methods, vol. 5, no. 6, pp. 471-2, 2008.
S. T. H. Liu, Sharon-Friling, R., Ivanova, P., Milne, S. B., Myers, D. S., Rabinowitz, J. D., H Brown, A., and Shenk, T., Synaptic vesicle-like lipidome of human cytomegalovirus virions reveals a role for SNARE machinery in virion egress., Proc Natl Acad Sci U S A, vol. 108, no. 31, pp. 12869-74, 2011.
S. R McIsaac, Oakes, B. L., Wang, X., Dummit, K. A., Botstein, D., and Noyes, M. B., Synthetic gene expression perturbation systems with rapid, tunable, single-gene specificity in yeast., Nucleic Acids Res, vol. 41, no. 4, p. e57, 2013.
S. Nadimpalli Kobren and Singh, M., Systematic domain-based aggregation of protein structures highlights DNA-, RNA- and other ligand-binding positions., Nucleic Acids Res, vol. 47, no. 2, pp. 582-593, 2019.
M. L. Whitfield, Finlay, D. R., Murray, J. Isaac, Troyanskaya, O. G., Chi, J. - T., Pergamenschikov, A., McCalmont, T. H., Brown, P. O., Botstein, D., and M Connolly, K., Systemic and cell type-specific gene expression patterns in scleroderma skin., Proc Natl Acad Sci U S A, vol. 100, no. 21, pp. 12319-24, 2003.
D. Amador-Noguez, Feng, X. - J., Fan, J., Roquet, N., Rabitz, H., and Rabinowitz, J. D., Systems-level metabolic flux profiling elucidates a complete, bifurcated tricarboxylic acid cycle in Clostridium acetobutylicum., J Bacteriol, vol. 192, no. 17, pp. 4452-61, 2010.
J. Munger, Bennett, B. D., Parikh, A., Feng, X. - J., McArdle, J., Rabitz, H. A., Shenk, T., and Rabinowitz, J. D., Systems-level metabolic flux profiling identifies fatty acid synthesis as a target for antiviral therapy., Nat Biotechnol, vol. 26, no. 10, pp. 1179-86, 2008.
T
J. P. Roose, Diehn, M., Tomlinson, M. G., Lin, J., Alizadeh, A. A., Botstein, D., Brown, P. O., and Weiss, A., T cell receptor-independent basal signaling via Erk and Abl kinases suppresses RAG gene expression., PLoS Biol, vol. 1, no. 2, p. E53, 2003.
R. A. Miller, Shi, Y., Lu, W., Pirman, D. A., Jatkar, A., Blatnik, M., Wu, H., Cárdenas, C., Wan, M., J Foskett, K., Park, J. O., Zhang, Y., Holland, W. L., Rabinowitz, J. D., and Birnbaum, M. J., Targeting hepatic glutaminase activity to ameliorate hyperglycemia., Nat Med, vol. 24, no. 4, pp. 518-524, 2018.
J. D. Rabinowitz and Vastag, L., Teaching the design principles of metabolism., Nat Chem Biol, vol. 8, no. 6, pp. 497-501, 2012.
A. C. Martin and Wieschaus, E. F., Tensions divide., Nat Cell Biol, vol. 12, no. 1, pp. 5-7, 2010.
S. Luo, Kleemann, G. A., Ashraf, J. M., Shaw, W. M., and Murphy, C. T., TGF-β and insulin signaling regulate reproductive aging via oocyte and germline quality maintenance., Cell, vol. 143, no. 2, pp. 299-312, 2010.
T. O. Nielsen, Hsu, F. D., O'Connell, J. X., C Gilks, B., Sorensen, P. H. B., Linn, S., West, R. B., Liu, C. Long, Botstein, D., Brown, P. O., and van de Rijn, M., Tissue microarray validation of epidermal growth factor receptor and SALL2 in synovial sarcoma with comparison to tumors of similar histology., Am J Pathol, vol. 163, no. 4, pp. 1449-56, 2003.
Y. Guan, Gorenshteyn, D., Burmeister, M., Wong, A. K., Schimenti, J. C., Handel, M. Ann, Bult, C. J., Hibbs, M. A., and Troyanskaya, O. G., Tissue-specific functional networks for prioritizing phenotype and disease genes., PLoS Comput Biol, vol. 8, no. 9, p. e1002694, 2012.
M. H. Feuerman, Godbout, R., Ingram, R. S., and Tilghman, S. M., Tissue-specific transcription of the mouse alpha-fetoprotein gene promoter is dependent on HNF-1., Mol Cell Biol, vol. 9, no. 10, pp. 4204-12, 1989.
M. Levine and Tjian, R., Transcription regulation and animal diversity., Nature, vol. 424, no. 6945, pp. 147-51, 2003.
K. Sayama, Diehn, M., Matsuda, K., Lunderius, C., Tsai, M., Tam, S. - Y., Botstein, D., Brown, P. O., and Galli, S. J., Transcriptional response of human mast cells stimulated via the Fc(epsilon)RI and identification of mast cells as a source of IL-11., BMC Immunol, vol. 3, p. 5, 2002.
I. S. Lossos, Alizadeh, A. A., Diehn, M., Warnke, R., Thorstenson, Y., Oefner, P. J., Brown, P. O., Botstein, D., and Levy, R., Transformation of follicular lymphoma to diffuse large-cell lymphoma: alternative patterns with increased or decreased expression of c-myc and its regulated genes., Proc Natl Acad Sci U S A, vol. 99, no. 13, pp. 8886-91, 2002.
V. Sourjik and Wingreen, N. S., Turning to the cold., Nat Cell Biol, vol. 9, no. 9, pp. 1029-31, 2007.
D. Munro, Ghersi, D., and Singh, M., Two critical positions in zinc finger domains are heavily mutated in three human cancer types., PLoS Comput Biol, vol. 14, no. 6, p. e1006290, 2018.
H. Yoo-Warren, Pachnis, V., Ingram, R. S., and Tilghman, S. M., Two regulatory domains flank the mouse H19 gene., Mol Cell Biol, vol. 8, no. 11, pp. 4707-15, 1988.

Pages