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

Journal Article
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.
E. L. Hong, Balakrishnan, R., Dong, Q., Christie, K. R., Park, J., Binkley, G., Costanzo, M. C., Dwight, S. S., Engel, S. R., Fisk, D. G., Hirschman, J. E., Hitz, B. C., Krieger, C. J., Livstone, M. S., Miyasato, S. R., Nash, R. S., Oughtred, R., Skrzypek, M. S., Weng, S., Wong, E. D., Zhu, K. K., Dolinski, K., Botstein, D., and J Cherry, M., Gene Ontology annotations at SGD: new data sources and annotation methods., Nucleic Acids Res, vol. 36, no. Database issue, pp. D577-81, 2008.
The Gene Ontology in 2010: extensions and refinements., Nucleic Acids Res, vol. 38, no. Database issue, pp. D331-5, 2010.
Y. Kim, Andreu, M. José, Lim, B., Chung, K., Terayama, M., Jiménez, G., Berg, C. A., Lu, H., and Shvartsman, S. Y., Gene regulation by MAPK substrate competition., Dev Cell, vol. 20, no. 6, pp. 880-7, 2011.
M. Levine and Davidson, E. H., Gene regulatory networks for development., Proc Natl Acad Sci U S A, vol. 102, no. 14, pp. 4936-42, 2005.
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.
C. T. Murphy, McCarroll, S. A., Bargmann, C. I., Fraser, A., Kamath, R. S., Ahringer, J., Li, H., and Kenyon, C., Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans., Nature, vol. 424, no. 6946, pp. 277-83, 2003.
P. B. Vrana, Fossella, J. A., Matteson, P., del Rio, T., O'Neill, M. J., and Tilghman, S. M., Genetic and epigenetic incompatibilities underlie hybrid dysgenesis in Peromyscus., Nat Genet, vol. 25, no. 1, pp. 120-4, 2000.
T. Slotte, Hazzouri, K. M., Stern, D., Andolfatto, P., and Wright, S. I., Genetic architecture and adaptive significance of the selfing syndrome in Capsella., Evolution, vol. 66, no. 5, pp. 1360-74, 2012.
C. Reisser, Dick, C., Kruglyak, L., Botstein, D., Schacherer, J., and Hess, D., Genetic Basis of Ammonium Toxicity Resistance in a Sake Strain of Yeast: A Mendelian Case., G3 (Bethesda), 2013.
J. S. Breunig, Hackett, S. R., Rabinowitz, J. D., and Kruglyak, L., Genetic basis of metabolome variation in yeast., PLoS Genet, vol. 10, no. 3, p. e1004142, 2014.
L. Zwarts, Broeck, L. Vanden, Cappuyns, E., Ayroles, J. F., Magwire, M. M., Vulsteke, V., Clements, J., Mackay, T. F. C., and Callaerts, P., The genetic basis of natural variation in mushroom body size in Drosophila melanogaster., Nat Commun, vol. 6, p. 10115, 2015.
R. B. Corbett-Detig, Zhou, J., Clark, A. G., Hartl, D. L., and Ayroles, J. F., Genetic incompatibilities are widespread within species., Nature, vol. 504, no. 7478, pp. 135-7, 2013.
M. Costanzo, Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., L Y Koh, J., Toufighi, K., Mostafavi, S., Prinz, J., St Onge, R. P., VanderSluis, B., Makhnevych, T., Vizeacoumar, F. J., Alizadeh, S., Bahr, S., Brost, R. L., Chen, Y., Cokol, M., Deshpande, R., Li, Z., Lin, Z. - Y., Liang, W., Marback, M., Paw, J., San Luis, B. - J., Shuteriqi, E., Tong, A. Hin Yan, van Dyk, N., Wallace, I. M., Whitney, J. A., Weirauch, M. T., Zhong, G., Zhu, H., Houry, W. A., Brudno, M., Ragibizadeh, S., Papp, B., Pál, C., Roth, F. P., Giaever, G., Nislow, C., Troyanskaya, O. G., Bussey, H., Bader, G. D., Gingras, A. - C., Morris, Q. D., Kim, P. M., Kaiser, C. A., Myers, C. L., Andrews, B. J., and Boone, C., The genetic landscape of a cell., Science, vol. 327, no. 5964, pp. 425-31, 2010.
J. Grosshans and Wieschaus, E., A genetic link between morphogenesis and cell division during formation of the ventral furrow in Drosophila., Cell, vol. 101, no. 5, pp. 523-31, 2000.
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.
G. I. Lang, Botstein, D., and Desai, M. M., Genetic variation and the fate of beneficial mutations in asexual populations., Genetics, vol. 188, no. 3, pp. 647-61, 2011.
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.
C. A. Rees, Demeter, J., Matese, J. C., Botstein, D., and Sherlock, G., GeneXplorer: an interactive web application for microarray data visualization and analysis., BMC Bioinformatics, vol. 5, p. 141, 2004.
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.
D. Garrigan, Kingan, S. B., Geneva, A. J., Andolfatto, P., Clark, A. G., Thornton, K. R., and Presgraves, D. C., Genome sequencing reveals complex speciation in the Drosophila simulans clade., Genome Res, vol. 22, no. 8, pp. 1499-511, 2012.
J. E. Hirschman, Balakrishnan, R., Christie, K. R., Costanzo, M. C., Dwight, S. S., Engel, S. R., Fisk, D. G., Hong, E. L., Livstone, M. S., Nash, R., Park, J., Oughtred, R., Skrzypek, M., Starr, B., Theesfeld, C. L., Williams, J., Andrada, R., Binkley, G., Dong, Q., Lane, C., Miyasato, S., Sethuraman, A., Schroeder, M., Thanawala, M. K., Weng, S., Dolinski, K., Botstein, D., and J Cherry, M., Genome Snapshot: a new resource at the Saccharomyces Genome Database (SGD) presenting an overview of the Saccharomyces cerevisiae genome., Nucleic Acids Res, vol. 34, no. Database issue, pp. D442-5, 2006.
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.
M. Markstein, Markstein, P., Markstein, V., and Levine, M. S., Genome-wide analysis of clustered Dorsal binding sites identifies putative target genes in the Drosophila embryo., Proc Natl Acad Sci U S A, vol. 99, no. 2, pp. 763-8, 2002.
H. Yoshimoto, Saltsman, K., Gasch, A. P., Li, H. Xia, Ogawa, N., Botstein, D., Brown, P. O., and Cyert, M. S., Genome-wide analysis of gene expression regulated by the calcineurin/Crz1p signaling pathway in Saccharomyces cerevisiae., J Biol Chem, vol. 277, no. 34, pp. 31079-88, 2002.
J. Schacherer, Ruderfer, D. M., Gresham, D., Dolinski, K., Botstein, D., and Kruglyak, L., Genome-wide analysis of nucleotide-level variation in commonly used Saccharomyces cerevisiae strains., PLoS One, vol. 2, no. 3, p. e322, 2007.
J. F. Ayroles, Hughes, K. A., Rowe, K. C., Reedy, M. M., Rodriguez-Zas, S. L., Drnevich, J. M., Cáceres, C. E., and Paige, K. N., A genomewide assessment of inbreeding depression: gene number, function, and mode of action., Conserv Biol, vol. 23, no. 4, pp. 920-30, 2009.
Y. Pritykin, Ghersi, D., and Singh, M., Genome-Wide Detection and Analysis of Multifunctional Genes., PLoS Comput Biol, vol. 11, no. 10, p. e1004467, 2015.
D. Gresham, Ruderfer, D. M., Pratt, S. C., Schacherer, J., Dunham, M. J., Botstein, D., and Kruglyak, L., Genome-wide detection of polymorphisms at nucleotide resolution with a single DNA microarray., Science, vol. 311, no. 5769, pp. 1932-6, 2006.
V. Lakhina, Arey, R. N., Kaletsky, R., Kauffman, A., Stein, G., Keyes, W., Xu, D., and Murphy, C. T., Genome-wide functional analysis of CREB/long-term memory-dependent transcription reveals distinct basal and memory gene expression programs., Neuron, vol. 85, no. 2, pp. 330-45, 2015.
V. Lakhina, Arey, R. N., Kaletsky, R., Kauffman, A., Stein, G., Keyes, W., Xu, D., and Murphy, C. T., Genome-wide functional analysis of CREB/long-term memory-dependent transcription reveals distinct basal and memory gene expression programs., Neuron, vol. 85, no. 2, pp. 330-45, 2015.
Y. Guan, Myers, C. L., Lu, R., Lemischka, I. R., Bult, C. J., and Troyanskaya, O. G., A genomewide functional network for the laboratory mouse., PLoS Comput Biol, vol. 4, no. 9, p. e1000165, 2008.
N. Harafuji, Keys, D. N., and Levine, M., Genome-wide identification of tissue-specific enhancers in the Ciona tadpole., Proc Natl Acad Sci U S A, vol. 99, no. 10, pp. 6802-5, 2002.
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.
H. D. Møller, Bojsen, R. K., Tachibana, C., Parsons, L., Botstein, D., and Regenberg, B., Genome-wide Purification of Extrachromosomal Circular DNA from Eukaryotic Cells., J Vis Exp, no. 110, p. e54239 |, 2016.
J. M. Rossi, Burke, D. T., Leung, J. C., Koos, D. S., Chen, H., and Tilghman, S. M., Genomic analysis using a yeast artificial chromosome library with mouse DNA inserts., Proc Natl Acad Sci U S A, vol. 89, no. 6, pp. 2456-60, 1992.
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.
P. A. Leighton, Saam, J. R., Ingram, R. S., and Tilghman, S. M., Genomic imprinting in mice: its function and mechanism., Biol Reprod, vol. 54, no. 2, pp. 273-8, 1996.
P. B. Vrana, Guan, X. J., Ingram, R. S., and Tilghman, S. M., Genomic imprinting is disrupted in interspecific Peromyscus hybrids., Nat Genet, vol. 20, no. 4, pp. 362-5, 1998.
P. B. Vrana, Matteson, P. G., Schmidt, J. V., Ingram, R. S., Joyce, A., Prince, K. L., Dewey, M. J., and Tilghman, S. M., Genomic imprinting of a placental lactogen gene in Peromyscus., Dev Genes Evol, vol. 211, no. 11, pp. 523-32, 2001.
A. Massouras, Waszak, S. M., Albarca-Aguilera, M., Hens, K., Holcombe, W., Ayroles, J. F., Dermitzakis, E. T., Stone, E. A., Jensen, J. D., Mackay, T. F. C., and Deplancke, B., Genomic variation and its impact on gene expression in Drosophila melanogaster., PLoS Genet, vol. 8, no. 11, p. e1003055, 2012.
J. L. Marsh, van Deusen, E. B., Wieschaus, E., and Gehring, W. J., Germ line dependence of the deep orange maternal effect in Drosophila., Dev Biol, vol. 56, no. 1, pp. 195-9, 1977.
T. Schupbach and Wieschaus, E., Germline autonomy of maternal-effect mutations altering the embryonic body pattern of Drosophila., Dev Biol, vol. 113, no. 2, pp. 443-8, 1986.
J. L. Marsh and Wieschaus, E., Germ-line dependence of the maroon-like maternal effect in Drosophila., Dev Biol, vol. 60, no. 2, pp. 396-403, 1977.
O. Troyanskaya, "Getting started in..": a series not to miss., PLoS Comput Biol, vol. 3, no. 10, p. 1841, 2007.
A. M. Berezhkovskii and Shvartsman, S. Y., On the GFP-based analysis of dynamic concentration profiles., Biophys J, vol. 106, no. 3, pp. L13-5, 2014.
A. K. Wong, Krishnan, A., and Troyanskaya, O. G., GIANT 2.0: genome-scale integrated analysis of gene networks in tissues., Nucleic Acids Research, vol. 46, no. W1, pp. W65-W70, 2018.
A. M. Roberts, Wong, A. K., Fisk, I., and Troyanskaya, O. G., GIANT API: an application programming interface for functional genomics., Nucleic Acids Res, 2016.
E. Kruus, Thumfort, P., Tang, C., and Wingreen, N. S., Gibbs sampling and helix-cap motifs., Nucleic Acids Res, vol. 33, no. 16, pp. 5343-53, 2005.
J. A. Brown, Sherlock, G., Myers, C. L., Burrows, N. M., Deng, C., H Wu, I., McCann, K. E., Troyanskaya, O. G., and J Brown, M., Global analysis of gene function in yeast by quantitative phenotypic profiling., Mol Syst Biol, vol. 2, p. 2006.0001, 2006.
M. Costanzo, VanderSluis, B., Koch, E. N., Baryshnikova, A., Pons, C., Tan, G., Wang, W., Usaj, M., Hanchard, J., Lee, S. D., Pelechano, V., Styles, E. B., Billmann, M., van Leeuwen, J., van Dyk, N., Lin, Z. - Y., Kuzmin, E., Nelson, J., Piotrowski, J. S., Srikumar, T., Bahr, S., Chen, Y., Deshpande, R., Kurat, C. F., Li, S. C., Li, Z., Usaj, M. Mattiazzi, Okada, H., Pascoe, N., San Luis, B. - J., Sharifpoor, S., Shuteriqi, E., Simpkins, S. W., Snider, J., Suresh, H. Garadi, Tan, Y., Zhu, H., Malod-Dognin, N., Janjic, V., Przulj, N., Troyanskaya, O. G., Stagljar, I., Xia, T., Ohya, Y., Gingras, A. - C., Raught, B., Boutros, M., Steinmetz, L. M., Moore, C. L., Rosebrock, A. P., Caudy, A. A., Myers, C. L., Andrews, B., and Boone, C., A global genetic interaction network maps a wiring diagram of cellular function., Science, vol. 353, no. 6306, 2016.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
A. Bren, Park, J. O., Towbin, B. D., Dekel, E., Rabinowitz, J. D., and Alon, U., Glucose becomes one of the worst carbon sources for E.coli on poor nitrogen sources due to suboptimal levels of cAMP., Sci Rep, vol. 6, p. 24834, 2016.
S. Hui, Ghergurovich, J. M., Morscher, R. J., Jang, C., Teng, X., Lu, W., Esparza, L. A., Reya, T., Guo, J. Yanxiang, White, E., and Rabinowitz, J. D., Glucose feeds the TCA cycle via circulating lactate., Nature, vol. 551, no. 7678, pp. 115-118, 2017.
S. - J. Lee, Murphy, C. T., and Kenyon, C., Glucose shortens the life span of C. elegans by downregulating DAF-16/FOXO activity and aquaporin gene expression., Cell Metab, vol. 10, no. 5, pp. 379-91, 2009.
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.
R. S. G. Sealfon, Hibbs, M. A., Huttenhower, C., Myers, C. L., and Troyanskaya, O. G., GOLEM: an interactive graph-based gene-ontology navigation and analysis tool., BMC Bioinformatics, vol. 7, p. 443, 2006.
E. I. Boyle, Weng, S., Gollub, J., Jin, H., Botstein, D., J Cherry, M., and Sherlock, G., GO::TermFinder--open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes., Bioinformatics, vol. 20, no. 18, pp. 3710-5, 2004.
J. A. Capra, Paeschke, K., Singh, M., and Zakian, V. A., G-quadruplex DNA sequences are evolutionarily conserved and associated with distinct genomic features in Saccharomyces cerevisiae., PLoS Comput Biol, vol. 6, no. 7, p. e1000861, 2010.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., Graphle: Interactive exploration of large, dense graphs., BMC Bioinformatics, vol. 10, p. 417, 2009.
S. Goyal and Wingreen, N. S., Growth-induced instability in metabolic networks., Phys Rev Lett, vol. 98, no. 13, p. 138105, 2007.
V. M. Boer, Crutchfield, C. A., Bradley, P. H., Botstein, D., and Rabinowitz, J. D., Growth-limiting intracellular metabolites in yeast growing under diverse nutrient limitations., Mol Biol Cell, vol. 21, no. 1, pp. 198-211, 2010.
S. Wang, Furchtgott, L., Huang, K. Casey, and Shaevitz, J. W., Helical insertion of peptidoglycan produces chiral ordering of the bacterial cell wall., Proc Natl Acad Sci U S A, vol. 109, no. 10, pp. E595-604, 2012.
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.
Z. Barutcuoglu, Schapire, R. E., and Troyanskaya, O. G., Hierarchical multi-label prediction of gene function., Bioinformatics, vol. 22, no. 7, pp. 830-6, 2006.
L. Aristilde, Lewis, I. A., Park, J. O., and Rabinowitz, J. D., Hierarchy in Pentose Sugar Metabolism in Clostridium Acetobutylicum., Appl Environ Microbiol, 2014.
W. Lu, Kimball, E., and Rabinowitz, J. D., A high-performance liquid chromatography-tandem mass spectrometry method for quantitation of nitrogen-containing intracellular metabolites., J Am Soc Mass Spectrom, vol. 17, no. 1, pp. 37-50, 2006.
M. Schumer, Cui, R., Powell, D. L., Dresner, R., Rosenthal, G. G., and Andolfatto, P., High-resolution mapping reveals hundreds of genetic incompatibilities in hybridizing fish species., Elife, vol. 3, 2014.
P. Andolfatto, Hitchhiking effects of recurrent beneficial amino acid substitutions in the Drosophila melanogaster genome., Genome Res, vol. 17, no. 12, pp. 1755-62, 2007.
M. J. Brauer, Saldanha, A. J., Dolinski, K., and Botstein, D., Homeostatic adjustment and metabolic remodeling in glucose-limited yeast cultures., Mol Biol Cell, vol. 16, no. 5, pp. 2503-17, 2005.
A. M. Berezhkovskii, Monine, M. I., Muratov, C. B., and Shvartsman, S. Y., Homogenization of boundary conditions for surfaces with regular arrays of traps., J Chem Phys, vol. 124, no. 3, p. 036103, 2006.
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.
E. Farley and Levine, M., HOT DNAs: a novel class of developmental enhancers., Genes Dev, vol. 26, no. 9, pp. 873-6, 2012.
E. Emberly and Wingreen, N. S., Hourglass model for a protein-based circadian oscillator., Phys Rev Lett, vol. 96, no. 3, p. 038303, 2006.
J. Song and Singh, M., How and when should interactome-derived clusters be used to predict functional modules and protein function?, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 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.
M. Schumer, Rosenthal, G. G., and Andolfatto, P., How common is homoploid hybrid speciation?, Evolution, vol. 68, no. 6, pp. 1553-60, 2014.
A. M. Berezhkovskii, Sample, C., and Shvartsman, S. Y., How long does it take to establish a morphogen gradient?, Biophys J, vol. 99, no. 8, pp. L59-61, 2010.
S. Still and Bialek, W., How many clusters? An information-theoretic perspective., Neural Comput, vol. 16, no. 12, pp. 2483-506, 2004.
J. - W. Hong, Hendrix, D. A., Papatsenko, D., and Levine, M. S., How the Dorsal gradient works: insights from postgenome technologies., Proc Natl Acad Sci U S A, vol. 105, no. 51, pp. 20072-6, 2008.
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, Nofal, M., Commisso, C., Hackett, S. R., Lu, W., Grabocka, E., Heiden, M. G. Vander, Miller, G., Drebin, J. A., Bar-Sagi, D., Thompson, C. B., and Rabinowitz, J. D., Human pancreatic cancer tumors are nutrient poor and tumor cells actively scavenge extracellular protein., Cancer Res, vol. 75, no. 3, pp. 544-53, 2015.
J. Fan, Teng, X., Liu, L., Mattaini, K. R., Looper, R. E., Heiden, M. G. Vander, and Rabinowitz, J. D., Human Phosphoglycerate Dehydrogenase Produces the Oncometabolite d-2-Hydroxyglutarate., ACS Chem Biol, 2014.
G. S. Ducker, Ghergurovich, J. M., Mainolfi, N., Suri, V., Jeong, S. K., Li, S. Hsin- Jung, Friedman, A., Manfredi, M. G., Gitai, Z., Kim, H., and Rabinowitz, J. D., Human SHMT inhibitors reveal defective glycine import as a targetable metabolic vulnerability of diffuse large B-cell lymphoma., Proc Natl Acad Sci U S A, vol. 114, no. 43, pp. 11404-11409, 2017.
J. - L. Li, Car, R., Tang, C., and Wingreen, N. S., Hydrophobic interaction and hydrogen-bond network for a methane pair in liquid water., Proc Natl Acad Sci U S A, vol. 104, no. 8, pp. 2626-30, 2007.
P. Morize, Christiansen, A. E., Costa, M., Parks, S., and Wieschaus, E., Hyperactivation of the folded gastrulation pathway induces specific cell shape changes., Development, vol. 125, no. 4, pp. 589-97, 1998.
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.
P. Barron Abitua, Wagner, E., Navarrete, I. A., and Levine, M., Identification of a rudimentary neural crest in a non-vertebrate chordate., Nature, vol. 492, no. 7427, pp. 104-7, 2012.
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.
L. Chen, Wolf, A. B., Fu, W., Li, L., and Akey, J. M., Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals., Cell, vol. 180, no. 4, pp. 677-687.e16, 2020.
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.
E. Kimball and Rabinowitz, J. D., Identifying decomposition products in extracts of cellular metabolites., Anal Biochem, vol. 358, no. 2, pp. 273-80, 2006.
E. G. Emberly, Miller, J., Zeng, C., Wingreen, N. S., and Tang, C., Identifying proteins of high designability via surface-exposure patterns., Proteins, vol. 47, no. 3, pp. 295-304, 2002.
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.
B. K. Jones, Levorse, J. M., and Tilghman, S. M., Igf2 imprinting does not require its own DNA methylation or H19 RNA., Genes Dev, vol. 12, no. 14, pp. 2200-7, 1998.
S. van Teeffelen, Shaevitz, J. W., and Gitai, Z., Image analysis in fluorescence microscopy: bacterial dynamics as a case study., Bioessays, vol. 34, no. 5, pp. 427-36, 2012.
K. Senger, Armstrong, G. W., Rowell, W. J., Kwan, J. M., Markstein, M., and Levine, M., Immunity regulatory DNAs share common organizational features in Drosophila., Mol Cell, vol. 13, no. 1, pp. 19-32, 2004.
J. Mulholland and Botstein, D., Immunoelectron microscopy of aldehyde-fixed yeast cells., Methods Enzymol, vol. 351, pp. 50-81, 2002.
A. K. Wong, Krishnan, A., Yao, V., Tadych, A., and Troyanskaya, O. G., IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, 2015.
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.
C. Huttenhower, Hibbs, M. A., Myers, C. L., Caudy, A. A., Hess, D. C., and Troyanskaya, O. G., The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction., Bioinformatics, vol. 25, no. 18, pp. 2404-10, 2009.
K. Dolinski and Troyanskaya, O. G., Implications of Big Data for cell biology., Mol Biol Cell, vol. 26, no. 14, pp. 2575-8, 2015.
S. Neumann, Vladimirov, N., Krembel, A. K., Wingreen, N. S., and Sourjik, V., Imprecision of adaptation in Escherichia coli chemotaxis., PLoS One, vol. 9, no. 1, p. e84904, 2014.
C. L. Vizcarra, Zhang, N., Marshall, S. A., Wingreen, N. S., Zeng, C., and Mayo, S. L., An improved pairwise decomposable finite-difference Poisson-Boltzmann method for computational protein design., J Comput Chem, vol. 29, no. 7, pp. 1153-62, 2008.
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.
M. Ragle Aure, Leivonen, S. - K., Fleischer, T., Zhu, Q., Overgaard, J., Alsner, J., Tramm, T., Louhimo, R., Alnæs, G. I. Grenaker, Perälä, M., Busato, F., Touleimat, N., Tost, J., Børresen-Dale, A. - L., Hautaniemi, S., Troyanskaya, O. G., Lingjærde, O. Christian, Sahlberg, K. Kleivi, and Kristensen, V. N., Individual and combined effects of DNA methylation and copy number alterations on miRNA expression in breast tumors., Genome Biol, vol. 14, no. 11, p. R126, 2013.
S. D. Kocher, Ayroles, J. F., Stone, E. A., and Grozinger, C. M., Individual variation in pheromone response correlates with reproductive traits and brain gene expression in worker honey bees., PLoS One, vol. 5, no. 2, p. e9116, 2010.
W. Wang, J Cherry, M., Nochomovitz, Y., Jolly, E., Botstein, D., and Li, H., Inference of combinatorial regulation in yeast transcriptional networks: a case study of sporulation., Proc Natl Acad Sci U S A, vol. 102, no. 6, pp. 1998-2003, 2005.
J. P. Huelsenbeck and Andolfatto, P., Inference of population structure under a Dirichlet process model., Genetics, vol. 175, no. 4, pp. 1787-802, 2007.
D. Straile, Eckmann, R., Jüngling, T., Thomas, G., and Löffler, H., Influence of climate variability on whitefish (Coregonus lavaretus) year-class strength in a deep, warm monomictic lake., Oecologia, vol. 151, no. 3, pp. 521-9, 2007.
V. M. Boer, Amini, S., and Botstein, D., Influence of genotype and nutrition on survival and metabolism of starving yeast., Proc Natl Acad Sci U S A, vol. 105, no. 19, pp. 6930-5, 2008.
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.
T. L. Adelman, Bialek, W., and Olberg, R. M., The information content of receptive fields., Neuron, vol. 40, no. 4, pp. 823-33, 2003.
G. Tkačik, Callan, C. G., and Bialek, W., Information flow and optimization in transcriptional regulation., Proc Natl Acad Sci U S A, vol. 105, no. 34, pp. 12265-70, 2008.
P. Mehta, Goyal, S., Long, T., Bassler, B. L., and Wingreen, N. S., Information processing and signal integration in bacterial quorum sensing., Mol Syst Biol, vol. 5, p. 325, 2009.
N. Slonim, Atwal, G. Singh, Tkačik, G., and Bialek, W., Information-based clustering., Proc Natl Acad Sci U S A, vol. 102, no. 51, pp. 18297-302, 2005.
A. Dejean, Solano, P. Jean, Ayroles, J., Corbara, B., and Orivel, J., Insect behaviour: arboreal ants build traps to capture prey., Nature, vol. 434, no. 7036, p. 973, 2005.
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.
C. T. Murphy and Hu, P. J., Insulin/insulin-like growth factor signaling in C. elegans., WormBook, pp. 1-43, 2013.
D. Andrea Fer de Abreu, Caballero, A., Fardel, P., Stroustrup, N., Chen, Z., Lee, K., Keyes, W. D., Nash, Z. M., López-Moyado, I. F., Vaggi, F., Cornils, A., Regenass, M., Neagu, A., Ostojic, I., Liu, C., Cho, Y., Sifoglu, D., Shen, Y., Fontana, W., Lu, H., Csikasz-Nagy, A., Murphy, C. T., Antebi, A., Blanc, E., Apfeld, J., Zhang, Y., Alcedo, J., and Ch'ng, Q., An insulin-to-insulin regulatory network orchestrates phenotypic specificity in development and physiology., PLoS Genet, vol. 10, no. 3, p. e1004225, 2014.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
A. Pop, Huttenhower, C., Iyer-Pascuzzi, A., Benfey, P. N., and Troyanskaya, O. G., Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana., BMC Syst Biol, vol. 4, p. 180, 2010.
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.
Y. Gong, Cao, R., Ding, G., Hong, S., Zhou, W., Lu, W., Damle, M., Fang, B., Wang, C. C., Qian, J., Lie, N., Lanzillotta, C., Rabinowitz, J. D., and Sun, Z., Integrated omics approaches to characterize a nuclear receptor corepressor-associated histone deacetylase in mouse skeletal muscle., Mol Cell Endocrinol, 2017.
A. C. Martin, Gelbart, M., Fernandez-Gonzalez, R., Kaschube, M., and Wieschaus, E. F., Integration of contractile forces during tissue invagination., J Cell Biol, vol. 188, no. 5, pp. 735-49, 2010.
J. N. Landis and Murphy, C. T., Integration of diverse inputs in the regulation of Caenorhabditis elegans DAF-16/FOXO., Dev Dyn, vol. 239, no. 5, pp. 1405-12, 2010.
A. Vincent, Blankenship, J. T., and Wieschaus, E., Integration of the head and trunk segmentation systems controls cephalic furrow formation in Drosophila., Development, vol. 124, no. 19, pp. 3747-54, 1997.
Y. Pritykin, Brito, T., Schüpbach, T., Singh, M., and Pane, A., Integrative analysis unveils new functions for the Drosophila Cutoff protein in noncoding RNA biogenesis and gene regulation., RNA, vol. 23, no. 7, pp. 1097-1109, 2017.
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.
V. Yao, Kaletsky, R., Keyes, W., Mor, D. E., Wong, A. K., Sohrabi, S., Murphy, C. T., and Troyanskaya, O. G., An integrative tissue-network approach to identify and test human disease genes., Nat Biotechnol, 2018.
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.
M. Tikhonov, Leach, R. W., and Wingreen, N. S., Interpreting 16S metagenomic data without clustering to achieve sub-OTU resolution., ISME J, vol. 9, no. 1, pp. 68-80, 2015.
G. M. Stein and Murphy, C. T., The Intersection of Aging, Longevity Pathways, and Learning and Memory in C. elegans., Front Genet, vol. 3, p. 259, 2012.
J. C. Gerhart, Martin, G. R., and Wieschaus, E. F., Introducing WIREs Developmental Biology., Wiley Interdiscip Rev Dev Biol, vol. 1, no. 1, pp. 1-2, 2012.
M. D. Koch and Shaevitz, J. W., Introduction to Optical Tweezers., Methods Mol Biol, vol. 1486, pp. 3-24, 2017.
W. Bialek and Botstein, D., Introductory science and mathematics education for 21st-Century biologists., Science, vol. 303, no. 5659, pp. 788-90, 2004.
M. Castellana and Bialek, W., Inverse spin glass and related maximum entropy problems., Phys Rev Lett, vol. 113, no. 11, p. 117204, 2014.
V. D. Nair, Ge, Y., Balasubramaniyan, N., Kim, J., Okawa, Y., Chikina, M., Troyanskaya, O., and Sealfon, S. C., Involvement of histone demethylase LSD1 in short-time-scale gene expression changes during cell cycle progression in embryonic stem cells., Mol Cell Biol, vol. 32, no. 23, pp. 4861-76, 2012.
D. Botstein, Ira Herskowitz: 1946-2003., Genetics, vol. 166, no. 2, pp. 653-60, 2004.
L. Christiaen, Wagner, E., Shi, W., and Levine, M., Isolation of individual cells and tissues from electroporated sea squirt (Ciona) embryos by fluorescence-activated cell sorting (FACS)., Cold Spring Harb Protoc, vol. 2009, no. 12, p. pdb.prot5349, 2009.
L. Christiaen, Wagner, E., Shi, W., and Levine, M., Isolation of sea squirt (Ciona) gametes, fertilization, dechorionation, and development., Cold Spring Harb Protoc, vol. 2009, no. 12, p. pdb.prot5344, 2009.
W. Lu, Kwon, Y. Kyung, and Rabinowitz, J. D., Isotope ratio-based profiling of microbial folates., J Am Soc Mass Spectrom, vol. 18, no. 5, pp. 898-909, 2007.
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.
T. Lecuit and Wieschaus, E., Junctions as organizing centers in epithelial cells? A fly perspective., Traffic, vol. 3, no. 2, pp. 92-7, 2002.
M. A. Lanaspa, Andres-Hernando, A., Orlicky, D. J., Cicerchi, C., Jang, C., Li, N., Milagres, T., Kuwabara, M., Wempe, M. F., Rabinowitz, J. D., Johnson, R. J., and Tolan, D. R., Ketohexokinase C blockade ameliorates fructose-induced metabolic dysfunction in fructose-sensitive mice., J Clin Invest, vol. 128, no. 6, pp. 2226-2238, 2018.
A. R. Ureta, Endres, R. G., Wingreen, N. S., and Silhavy, T. J., Kinetic analysis of the assembly of the outer membrane protein LamB in Escherichia coli mutants each lacking a secretion or targeting factor in a different cellular compartment., J Bacteriol, vol. 189, no. 2, pp. 446-54, 2007.
J. Yuan, Bennett, B. D., and Rabinowitz, J. D., Kinetic flux profiling for quantitation of cellular metabolic fluxes., Nat Protoc, vol. 3, no. 8, pp. 1328-40, 2008.
J. Yuan, Fowler, W. U., Kimball, E., Lu, W., and Rabinowitz, J. D., Kinetic flux profiling of nitrogen assimilation in Escherichia coli., Nat Chem Biol, vol. 2, no. 10, pp. 529-30, 2006.
B. Lim, Samper, N., Lu, H., Rushlow, C., Jiménez, G., and Shvartsman, S. Y., Kinetics of gene derepression by ERK signaling., Proc Natl Acad Sci U S A, vol. 110, no. 25, pp. 10330-5, 2013.
A. M. Berezhkovskii and Shvartsman, S. Y., Kinetics of receptor occupancy during morphogen gradient formation., J Chem Phys, vol. 138, no. 24, p. 244105, 2013.
Y. Meir, Hirose, K., and Wingreen, N. S., Kondo model for the "0.7 anomaly" in transport through a quantum point contact., Phys Rev Lett, vol. 89, no. 19, p. 196802, 2002.
E. Wieschaus, Nusslein-Volhard, C., and Kluding, H., Krüppel, a gene whose activity is required early in the zygotic genome for normal embryonic segmentation., Dev Biol, vol. 104, no. 1, pp. 172-86, 1984.
X. Teng, Emmett, M. J., Lazar, M. A., Goldberg, E., and Rabinowitz, J. D., Lactate Dehydrogenase C Produces S-2-Hydroxyglutarate in Mouse Testis., ACS Chem Biol, 2016.
D. Hermans, Gautam, S., García-Cañaveras, J. C., Gromer, D., Mitra, S., Spolski, R., Li, P., Christensen, S., Nguyen, R., Lin, J. - X., Oh, J., Du, N., Veenbergen, S., Fioravanti, J., Ebina-Shibuya, R., Bleck, C., Neckers, L. M., Rabinowitz, J. D., Gattinoni, L., and Leonard, W. J., Lactate dehydrogenase inhibition synergizes with IL-21 to promote CD8 T cell stemness and antitumor immunity., Proc Natl Acad Sci U S A, vol. 117, no. 11, pp. 6047-6055, 2020.
R. L. Rogers, Cridland, J. M., Shao, L., Hu, T. T., Andolfatto, P., and Thornton, K. R., Landscape of standing variation for tandem duplications in Drosophila yakuba and Drosophila simulans., Mol Biol Evol, vol. 31, no. 7, pp. 1750-66, 2014.
T. Heist, Fukaya, T., and Levine, M., Large distances separate coregulated genes in living embryos., Proc Natl Acad Sci U S A, vol. 116, no. 30, pp. 15062-15067, 2019.
R. M. Barry, Bitbol, A. - F., Lorestani, A., Charles, E. J., Habrian, C. H., Hansen, J. M., Li, H. - J., Baldwin, E. P., Wingreen, N. S., Kollman, J. M., and Gitai, Z., Large-scale filament formation inhibits the activity of CTP synthetase., Elife, vol. 3, p. e03638, 2014.
D. Botstein, Lasker∼Koshland to genetics pioneer., Cell, vol. 158, no. 6, pp. 1230-2, 2014.
A. L. Wooldridge, Bischof, R. J., Liu, H., Heinemann, G. K., Hunter, D. S., Giles, L. C., Simmons, R. A., Lien, Y. - C., Lu, W., Rabinowitz, J. D., Kind, K. L., Owens, J. A., Clifton, V. L., and Gatford, K. L., Late gestation maternal dietary methyl donor and cofactor supplementation in sheep partially reverses protection against allergic sensitization by IUGR., Am J Physiol Regul Integr Comp Physiol, p. ajpregu.00549.2016, 2017.
L. Chen, Ducker, G. S., Lu, W., Teng, X., and Rabinowitz, J. D., An LC-MS chemical derivatization method for the measurement of five different one-carbon states of cellular tetrahydrofolate., Anal Bioanal Chem, 2017.
M. F. Clasquin, Melamud, E., and Rabinowitz, J. D., LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine., Curr Protoc Bioinformatics, vol. Chapter 14, p. Unit14.11, 2012.
S. M. Tilghman, Lessons learned, promises kept: a biologist's eye view of the Genome Project., Genome Res, vol. 6, no. 9, pp. 773-80, 1996.
M. I. Monine, Berezhkovskii, A. M., Joslin, E. J., H Wiley, S., Lauffenburger, D. A., and Shvartsman, S. Y., Ligand accumulation in autocrine cell cultures., Biophys J, vol. 88, no. 4, pp. 2384-90, 2005.
A. M. Berezhkovskii, Batsilas, L., and Shvartsman, S. Y., Ligand trapping in epithelial layers and cell cultures., Biophys Chem, vol. 107, no. 3, pp. 221-7, 2004.
T. Mora and Wingreen, N. S., Limits of sensing temporal concentration changes by single cells., Phys Rev Lett, vol. 104, no. 24, p. 248101, 2010.
A. Stathopoulos and Levine, M., Linear signaling in the Toll-Dorsal pathway of Drosophila: activated Pelle kinase specifies all threshold outputs of gene expression while the bHLH protein Twist specifies a subset., Development, vol. 129, no. 14, pp. 3411-9, 2002.
X. J. Guan, Arhin, G., Leung, J., and Tilghman, S. M., Linkage between vitamin D-binding protein and alpha-fetoprotein in the mouse., Mamm Genome, vol. 7, no. 2, pp. 103-6, 1996.
P. Andolfatto and Wall, J. D., Linkage disequilibrium patterns across a recombination gradient in African Drosophila melanogaster., Genetics, vol. 165, no. 3, pp. 1289-305, 2003.
R. Mukhopadhyay, Huang, K. Casey, and Wingreen, N. S., Lipid localization in bacterial cells through curvature-mediated microphase separation., Biophys J, vol. 95, no. 3, pp. 1034-49, 2008.
J. J. Kamphorst, Fan, J., Lu, W., White, E., and Rabinowitz, J. D., Liquid chromatography-high resolution mass spectrometry analysis of fatty acid metabolism., Anal Chem, vol. 83, no. 23, pp. 9114-22, 2011.
J. W. Shaevitz and Fletcher, D. A., Load fluctuations drive actin network growth., Proc Natl Acad Sci U S A, vol. 104, no. 40, pp. 15688-92, 2007.
P. V. Gordon, Muratov, C. B., and Shvartsman, S. Y., Local accumulation times for source, diffusion, and degradation models in two and three dimensions., J Chem Phys, vol. 138, no. 10, p. 104121, 2013.
A. Marie Sokac and Wieschaus, E., Local actin-dependent endocytosis is zygotically controlled to initiate Drosophila cellularization., Dev Cell, vol. 14, no. 5, pp. 775-86, 2008.
P. V. Gordon, Sample, C., Berezhkovskii, A. M., Muratov, C. B., and Shvartsman, S. Y., Local kinetics of morphogen gradients., Proc Natl Acad Sci U S A, vol. 108, no. 15, pp. 6157-62, 2011.
K. Hirose, Meir, Y., and Wingreen, N. S., Local moment formation in quantum point contacts., Phys Rev Lett, vol. 90, no. 2, p. 026804, 2003.
A. Stathopoulos and Levine, M., Localized repressors delineate the neurogenic ectoderm in the early Drosophila embryo., Dev Biol, vol. 280, no. 2, pp. 482-93, 2005.
J. P. Gergen and Wieschaus, E. F., The localized requirements for a gene affecting segmentation in Drosophila: analysis of larvae mosaic for runt., Dev Biol, vol. 109, no. 2, pp. 321-35, 1985.
A. L. Webber, Ingram, R. S., Levorse, J. M., and Tilghman, S. M., Location of enhancers is essential for the imprinting of H19 and Igf2 genes., Nature, vol. 391, no. 6668, pp. 711-5, 1998.
S. Tucci and Akey, J. M., The long walk to African genomics., Genome Biol, vol. 20, no. 1, p. 130, 2019.
V. C. Calhoun and Levine, M., Long-range enhancer-promoter interactions in the Scr-Antp interval of the Drosophila Antennapedia complex., Proc Natl Acad Sci U S A, vol. 100, no. 17, pp. 9878-83, 2003.
M. Pribyl, Muratov, C. B., and Shvartsman, S. Y., Long-range signal transmission in autocrine relays., Biophys J, vol. 84, no. 2 Pt 1, pp. 883-96, 2003.
A. V. Rangan, McGrouther, C. C., Kelsoe, J., Schork, N., Stahl, E., Zhu, Q., Krishnan, A., Yao, V., Troyanskaya, O., Bilaloglu, S., Raghavan, P., Bergen, S., Jureus, A., and Landen, M., A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data., PLoS Comput Biol, vol. 14, no. 5, p. e1006105, 2018.
M. Levine, Cattoglio, C., and Tjian, R., Looping back to leap forward: transcription enters a new era., Cell, vol. 157, no. 1, pp. 13-25, 2014.
K. M. Doherty, Pride, L. D., Lukose, J., Snydsman, B. E., Charles, R., Pramanik, A., Muller, E. G., Botstein, D., and Moore, C. Wood, Loss of a 20S proteasome activator in Saccharomyces cerevisiae downregulates genes important for genomic integrity, increases DNA damage, and selectively sensitizes cells to agents with diverse mechanisms of action., G3 (Bethesda), vol. 2, no. 8, pp. 943-59, 2012.
D. W. Frederick, Loro, E., Liu, L., Davila, A., Chellappa, K., Silverman, I. M., Quinn, W. J., Gosai, S. J., Tichy, E. D., Davis, J. G., Mourkioti, F., Gregory, B. D., Dellinger, R. W., Redpath, P., Migaud, M. E., Nakamaru-Ogiso, E., Rabinowitz, J. D., Khurana, T. S., and Baur, J. A., Loss of NAD Homeostasis Leads to Progressive and Reversible Degeneration of Skeletal Muscle., Cell Metab, vol. 24, no. 2, pp. 269-82, 2016.
L. J. Kurihara, Kikuchi, T., Wada, K., and Tilghman, S. M., Loss of Uch-L1 and Uch-L3 leads to neurodegeneration, posterior paralysis and dysphagia., Hum Mol Genet, vol. 10, no. 18, pp. 1963-70, 2001.
M. D. Chikina, Gerald, C. P., Li, X., Ge, Y., Pincas, H., Nair, V. D., Wong, A. K., Krishnan, A., Troyanskaya, O. G., Raymond, D., Saunders-Pullman, R., Bressman, S. B., Yue, Z., and Sealfon, S. C., Low-variance RNAs identify Parkinson's disease molecular signature in blood., Mov Disord, vol. 30, no. 6, pp. 813-21, 2015.
D. Quigley, Silwal-Pandit, L., Dannenfelser, R., Langerod, A., Vollan, H. Kristian M., Vaske, C., Ursini-Siegel, J., Troyanskaya, O., Chin, S. - F., Caldas, C., Balmain, A., Borresen-Dale, A. - L., and Kristensen, V., Lymphocyte invasion in IC10/Basal-like breast tumors is associated with wild-type TP53., Mol Cancer Res, 2014.
P. S. Minhas, Liu, L., Moon, P. K., Joshi, A. U., Dove, C., Mhatre, S., Contrepois, K., Wang, Q., Lee, B. A., Coronado, M., Bernstein, D., Snyder, M. P., Migaud, M., Majeti, R., Mochly-Rosen, D., Rabinowitz, J. D., and Andreasson, K. I., Macrophage de novo NAD synthesis specifies immune function in aging and inflammation., Nat Immunol, vol. 20, no. 1, pp. 50-63, 2019.

Pages