A Strategy for Discovery of Endocrine Interactions with Application to Whole-Body Metabolism
Open accessAbstract
Inter-tissue communication via secreted proteins has been established as a vital mechanism for proper physiologic homeostasis. Here, we report a bioinformatics framework using a mouse reference population, the Hybrid Mouse Diversity Panel (HMDP), which integrates global multi-tissue expression data and publicly available resources to identify and functionally annotate novel circuits of tissue-tissue communication. We validate this method by showing that we can identify known as well as novel endocrine factors responsible for communication between tissues. We further show the utility of this approach by identification and mechanistic characterization of two new endocrine factors. Adipose-derived Lipocalin-5 is shown to enhance skeletal muscle mitochondrial function, and liver-secreted Notum promotes browning of white adipose tissue, also known as "beiging." We demonstrate the general applicability of the method by providing in vivo evidence for three additional novel molecules mediating tissue-tissue interactions.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Lcn5 (LCN6 in humans) promotes insulin sensitivity by enhancing muscle mitochondrial function.
“An example of the use of novel strategies for the discovery of endocrine interactions with physiological relevance for whole‐body metabolism is the recent discovery of a novel adipokine, mouse lipocalin 5 (Lcn5; LCN6 in humans), that has the ability to promote insulin sensitivity by enhancing muscle mitochondrial function 135.”
From Inter‐organ communication: a gatekeeper for metabolic health (2019) · cites this paper as [135]
The effects of Lcn5 in promoting glucose and insulin sensitivity in vivo were more pronounced in a high‐fat high‐sucrose (HF‐HS) model.
“Of note, despite showing significant effects in promoting muscle mitochondrial function in cellular models, the effects of the novel adipokine Lcn5 in promoting glucose and insulin sensitivity in vivo were more pronounced in a high‐fat high‐sucrose (HF‐HS) model.”
From Inter‐organ communication: a gatekeeper for metabolic health (2019) · cites this paper as [135]
Lcn5 overexpression had positive effects on the metabolic status whether at the beginning or after several weeks of HF‐HS diet.
“However, it is worth noting that Lcn5 overexpression had positive effects on the metabolic status whether at the beginning or after several weeks of HF‐HS diet 135.”
From Inter‐organ communication: a gatekeeper for metabolic health (2019) · cites this paper as [135]
Population‐based methods taking advantage of natural variations between transcript levels within strains of a mouse reference population have been used to identify new inter‐organ communication networks in metabolism.
“More recently, population‐based methods taking advantage of the natural variations between transcript levels within strains of a mouse reference population have been used to identify new inter‐organ communication networks in metabolism 135.”
From Inter‐organ communication: a gatekeeper for metabolic health (2019) · cites this paper as [135]
A bioinformatic‐based approach allowed for the identification of Lcn5 and Notum.
“This bioinformatic‐based approach allowed for the identification of Lcn5, an adipokine that promotes muscle mitochondrial function, and of Notum, a hepatokine that promotes WAT browning and BAT thermogenesis 135.”
From Inter‐organ communication: a gatekeeper for metabolic health (2019) · cites this paper as [135]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works
Mosmann, T. R., & Coffman, R. L. (1989) · Annual Review of Immunology · doi:10.1146/annurev.iy.07.040189.001045 · Cited by 7,692 · see citing works
Adipose Tissue as an Endocrine Organ
Kershaw, E. E., & Flier, J. S. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0395 · Cited by 5,522 · see citing works
Leptin and the regulation of body weight in mammals
Friedman, J. M., & Halaas, J. L. (1998) · Nature · doi:10.1038/27376 · Cited by 5,405 · see citing works
The Wnt Signaling Pathway in Development and Disease
Logan, C. Y., & Nusse, R. (2004) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.20.010403.113126 · Cited by 5,325 · see citing works
Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites
Nielsen, H., Engelbrecht, J., Brunak, S., & von HEIJNE, G. (1997) · Protein Engineering Design and Selection · doi:10.1093/protein/10.1.1 · Cited by 5,324 · see citing works
Miller, M. B., & Bassler, B. L. (2001) · Annual Review of Microbiology · doi:10.1146/annurev.micro.55.1.165 · Cited by 5,127 · see citing works
UniProt: a hub for protein information
The UniProt Consortium (2015) · Nucleic Acids Research · doi:10.1093/nar/gku989 · Cited by 5,106 · see citing works
The hormone resistin links obesity to diabetes
Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., Patel, H. R., Ahima, R. S., & Lazar, M. A. (2001) · Nature · doi:10.1038/35053000 · Cited by 4,755 · see citing works
Insulin-Like Growth Factors and Their Binding Proteins: Biological Actions*
Jones, J. I. W., & Clemmons, D. R. (1995) · Endocrine Reviews · doi:10.1210/edrv-16-1-3 · Cited by 4,488 · see citing works
Gene Ontology Consortium: going forward
The Gene Ontology Consortium (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1179 · Cited by 3,492 · see citing works
A Novel Serum Protein Similar to C1q, Produced Exclusively in Adipocytes
Scherer, P. E., Williams, S. P., Fogliano, M., Baldini, G., & Lodish, H. F. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.45.26746 · Cited by 3,238 · see citing works
Adiponectin and adiponectin receptors in insulin resistance, diabetes, and the metabolic syndrome
Kadowaki, T. (2006) · Journal of Clinical Investigation · doi:10.1172/jci29126 · Cited by 2,824 · see citing works
Huang, D. W., Sherman, B. T., Tan, Q., Collins, J., Alvord, W. G., Roayaei, J., Stephens, R. D., Baseler, M., Lane, H. C., & Lempicki, R. A. (2007) · Genome biology · doi:10.1186/gb-2007-8-9-r183 · Cited by 2,482 · see citing works
Towards a knowledge-based Human Protein Atlas
Uhlen, M., Oksvold, P., Fagerberg, L., Lundberg, E., Jonasson, K., Forsberg, M., Zwahlen, M., Kampf, C., Wester, K., Hober, S., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1210-1248 · Cited by 2,440 · see citing works
Muscle as an Endocrine Organ: Focus on Muscle-Derived Interleukin-6
Pedersen, B. K., & Febbraio, M. A. (2008) · Physiological Reviews · doi:10.1152/physrev.90100.2007 · Cited by 2,388 · see citing works
Cytokines in Atherosclerosis: Pathogenic and Regulatory Pathways
Tedgui, A., & Mallat, Z. (2006) · Physiological Reviews · doi:10.1152/physrev.00024.2005 · Cited by 1,701 · see citing works
Adipose-derived circulating miRNAs regulate gene expression in other tissues
Thomou, T., Mori, M. A., Dreyfuss, J. M., Konishi, M., Sakaguchi, M., Wolfrum, C., Rao, T. N., Winnay, J. N., Garcia-Martin, R., Grinspoon, S. K., et al. (2017) · Nature · doi:10.1038/nature21365 · Cited by 1,539 · see citing works
Identification of targets of leptin action in rat hypothalamus.
Schwartz, M. W., Seeley, R. J., Campfield, L. A., Burn, P., & Baskin, D. G. (1996) · Journal of Clinical Investigation · doi:10.1172/jci118891 · Cited by 1,475 · see citing works
Large-scale analysis of the human and mouse transcriptomes
Su, A. I., Cooke, M. P., Ching, K. A., Hakak, Y., Walker, J. R., Wiltshire, T., Orth, A. P., Vega, R. G., Sapinoso, L. M., Moqrich, A., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012025199 · Cited by 1,466 · see citing works
The role of leptin and ghrelin in the regulation of food intake and body weight in humans: a review
Klok, M. D., Jakobsdottir, S., & Drent, M. L. (2007) · Obesity Reviews · doi:10.1111/j.1467-789x.2006.00270.x · Cited by 1,442 · see citing works
BioGPS: an extensible and customizable portal for querying and organizing gene annotation resources
Wu, C., Orozco, C., Boyer, J., Leglise, M., Goodale, J., Batalov, S., Hodge, C. L., Haase, J., Janes, J. O., Huss, J. W., et al. (2009) · Genome biology · doi:10.1186/gb-2009-10-11-r130 · Cited by 1,374 · see citing works
Salomon, F., Cuneo, R. C., Hesp, R., & Sönksen, P. H. (1989) · New England Journal of Medicine · doi:10.1056/nejm198912283212605 · Cited by 1,326 · see citing works
Retinol-Binding Protein 4 and Insulin Resistance in Lean, Obese, and Diabetic Subjects
Graham, T. E., Yang, Q., Blüher, M., Hammarstedt, A., Ciaraldi, T. P., Henry, R. R., Wason, C. J., Oberbach, A., Jansson, P.-A., Smith, U., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054862 · Cited by 1,319 · see citing works
Fast R Functions for Robust Correlations and Hierarchical Clustering
Langfelder, P., & Horvath, S. (2012) · Journal of Statistical Software · doi:10.18637/jss.v046.i11 · Cited by 1,297 · see citing works
Actions of Insulin-Like Growth Factors
Froesch, E. R., Schmid, C., Schwander, J., & Zapf, J. (1985) · Annual Review of Physiology · doi:10.1146/annurev.ph.47.030185.002303 · Cited by 1,154 · see citing works
Bennett, B. J., Vallim, T. Q. D. A., Wang, Z., Shih, D. M., Meng, Y., Gregory, J., Allayee, H., Lee, R., Graham, M., Crooke, R., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.011 · Cited by 1,070 · see citing works
Self-citationInflammatory Cytokines and Postmyocardial Infarction Remodeling
Nian, M., Lee, P. C., Khaper, N., & Liu, P. J. (2004) · Circulation Research · doi:10.1161/01.res.0000130526.20854.fa · Cited by 1,031 · see citing works
Leptin: a review of its peripheral actions and interactions
Margetic, S., Gazzola, C., Pegg, G. G., & Hill, R. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0802142 · Cited by 1,001 · see citing works
The lipocalin protein family: structural and sequence overview
Flower, D. R., North, A. C. T., & Sansom, C. E. (2000) · Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology · doi:10.1016/s0167-4838(00)00148-5 · Cited by 868 · see citing works
The model organism as a system: integrating 'omics' data sets
Joyce, A. R., & Palsson, B. Ø. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1857 · Cited by 790 · see citing works
Adiponectin – journey from an adipocyte secretory protein to biomarker of the metabolic syndrome
TRUJILLO, M. E., & Scherer, P. E. (2005) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01426.x · Cited by 769 · see citing works
Zhang, Y., Li, R., Meng, Y., Li, S., Donelan, W., Zhao, Y., Qi, L., Zhang, M., Wang, X., Cui, T., et al. (2014) · Diabetes · doi:10.2337/db13-1106 · Cited by 733 · cited 1× · see citing works
“…test the hypothesis, we treated 3T3L1 adipocytes for the first 3 days of brown differentiation with vehicle or 200 ng/mL NOTUM, a protocol that has been previously used to test whether various pharmacologic agents could promote beiging of 3T3L1 adipocytes (Asano et al., 2014; Zhang et al., 2014).”
MethodSelf-citationVisualization of omics data for systems biology
Gehlenborg, N., O’Donoghue, S. I., Baliga, N. S., Goesmann, A., Hibbs, M., Kitano, H., Kohlbacher, O., Neuweger, H., Schneider, R., Tenenbaum, D., et al. (2010) · Nature Methods · doi:10.1038/nmeth.1436 · Cited by 622 · see citing works
Systems genetics approaches to understand complex traits
Civelek, M., & Lusis, A. J. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3575 · Cited by 621 · see citing works
Self-citationAdipose Tissue: The New Endocrine Organ? A Review Article
Wozniak, S. E., Gee, L. L., Wachtel, M. S., & Frezza, E. E. (2008) · Digestive Diseases and Sciences · doi:10.1007/s10620-008-0585-3 · Cited by 585 · see citing works
Kersten, S., Mandard, S., Tan, N. S., Escher, P., METZGER, D., Chambon, P., Gonzalez, F. J., Desvergne, B., & Wahli, W. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m004029200 · Cited by 560 · see citing works
Sherman, B. T., Huang, D. W., Tan, Q., Guo, Y., Bour, S. P., Liu, D., Stephens, R., Baseler, M., Lane, H. C., & Lempicki, R. A. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-426 · Cited by 559 · see citing works
Parks, B. W., Nam, E., Org, E., Kostem, E., Norheim, F., Hui, S. T., Pan, C., Civelek, M., Rau, C. D., Bennett, B. J., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2012.12.007 · Cited by 544 · see citing works
Self-citationFibroblast Growth Factor Signaling during Early Vertebrate Development
Böttcher, R. T., & Niehrs, C. (2005) · Endocrine Reviews · doi:10.1210/er.2003-0040 · Cited by 540 · see citing works
Unraveling the central nervous system pathways underlying responses to leptin
Elmquist, J. K., Maratos-Flier, E., Saper, C. B., & Flier, J. S. (1998) · Nature Neuroscience · doi:10.1038/2164 · Cited by 520 · see citing works
Role of interferons and other cytokines in the regulation of the immune response
Belardelli, F. (1995) · Apmis · doi:10.1111/j.1699-0463.1995.tb01092.x · Cited by 471 · see citing works
Notum deacylates Wnt proteins to suppress signalling activity
Kakugawa, S., Langton, P. F., Zebisch, M., Howell, S. A., Chang, T.-H., Liu, Y., Feizi, T., Bineva‐Todd, G., O’Reilly, N., Snijders, A. P., et al. (2015) · Nature · doi:10.1038/nature14259 · Cited by 447 · see citing works
Conditional Activation of Akt in Adult Skeletal Muscle Induces Rapid Hypertrophy
Lai, K.-M. V., Gonzalez, M., Poueymirou, W. T., Kline, W. O., Na, E., Zlotchenko, E., Stitt, T. N., Economides, A. N., Yancopoulos, G. D., & Glass, D. J. (2004) · Molecular and Cellular Biology · doi:10.1128/mcb.24.21.9295-9304.2004 · Cited by 442 · see citing works
Du, J., Yuan, Z., Ma, Z., Song, J., Xie, X., & Chen, Y. (2014) · Molecular BioSystems · doi:10.1039/c4mb00287c · Cited by 411 · see citing works
Myonectin (CTRP15), a novel myokine that links skeletal muscle to systemic lipid homeostasis
Seldin, M. M., Peterson, J. M., Byerly, M. S., Wei, Z., & Wong, G. W. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.336834 · Cited by 406 · see citing works
Keller, M. P., Choi, Y., Wang, P., Belt Davis, D., Rabaglia, M. E., Oler, A. T., Stapleton, D. S., Argmann, C., Schueler, K. L., Edwards, S., et al. (2008) · Genome Research · doi:10.1101/gr.074914.107 · Cited by 377 · see citing works
Mosquera, G. M., Giraldo, M. C., Khang, C. H., Coughlan, S., & Valent, B. S. (2009) · The Plant Cell · doi:10.1105/tpc.107.055228 · Cited by 371 · see citing works
Yoshida, K., Shimizugawa, T., Ono, M., & Furukawa, H. (2002) · Journal of Lipid Research · doi:10.1194/jlr.c200010-jlr200 · Cited by 368 · see citing works
Leptin: a pivotal regulator of human energy homeostasis
Farooqi, I. S., & O’Rahilly, S. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26788c · Cited by 333 · see citing works
SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer
Petricoin, E. F., & Liotta, L. A. (2004) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2004.01.005 · Cited by 325 · see citing works
Franzén, O., Ermel, R., Cohain, A., Akers, N. K., Di Narzo, A., Talukdar, H. A., Foroughi-Asl, H., Giambartolomei, C., Fullard, J. F., Sukhavasi, K., et al. (2016) · Science · doi:10.1126/science.aad6970 · Cited by 288 · see citing works
Self-citationOMICS-driven biomarker discovery in nutrition and health
Kussmann, M., Raymond, F., & Affolter, M. (2006) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2006.02.014 · Cited by 286 · see citing works
Role of resistin in obesity, insulin resistance and Type II diabetes
Kusminski, C. M., McTernan, P. G., & Kumar, S. (2005) · Clinical Science · doi:10.1042/cs20050078 · Cited by 279 · see citing works
Distinct roles for CD4 and CD8 as co-receptors in antigen receptor signalling
Julius, M., Maroun, C. R., & Haughn, L. (1993) · Immunology Today · doi:10.1016/0167-5699(93)90282-p · Cited by 275 · see citing works
The Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263 · see citing works
Self-citationSecretome proteomics for discovery of cancer biomarkers
Makridakis, M., & Vlahou, A. (2010) · Journal of Proteomics · doi:10.1016/j.jprot.2010.07.001 · Cited by 250 · see citing works
Genetic Architecture of Insulin Resistance in the Mouse
Parks, B. W., Sallam, T., Mehrabian, M., Psychogios, N., Hui, S. T., Norheim, F., Castellani, L. W., Rau, C. D., Pan, C., Phun, J., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.01.002 · Cited by 249 · see citing works
Self-citationHSPG Modification by the Secreted Enzyme Notum Shapes the Wingless Morphogen Gradient
Giráldez, A. J., Copley, R. R., & Cohen, S. M. (2002) · Developmental Cell · doi:10.1016/s1534-5807(02)00180-6 · Cited by 247 · see citing works
Metabolic function of the CTRP family of hormones
Seldin, M. M., Tan, S. Y., & Wong, G. W. (2013) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-013-9255-7 · Cited by 244 · see citing works
Self-citationCharacterization of the Human Visceral Adipose Tissue Secretome
Álvarez‐Llamas, G., Szalowska, E., de Vries, M. P., Weening, D., Landman, K., Hoek, A., Wolffenbuttel, B. H. R., Roelofsen, H., & Vonk, R. J. (2007) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m600265-mcp200 · Cited by 231 · see citing works
Interleukin 1 receptors in the brain and endocrine tissues
Cunningham, E. T., & Souza, E. B. D. (1993) · Immunology Today · doi:10.1016/0167-5699(93)90281-o · Cited by 230 · see citing works
β-adrenoceptor signaling networks in adipocytes for recruiting stored fat and energy expenditure
Collins, S. (2011) · Frontiers in Endocrinology · doi:10.3389/fendo.2011.00102 · Cited by 230 · see citing works
Approaches to the study of the cell secretome
Hathout, Y. (2007) · Expert Review of Proteomics · doi:10.1586/14789450.4.2.239 · Cited by 203 · see citing works
Price, A. L., Helgason, A., Þorleifsson, G., McCarroll, S. A., Kong, A., & Stefánsson, K. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001317 · Cited by 195 · see citing works
Traister, A., Shi, W., & Filmus, J. (2008) · Biochemical Journal · doi:10.1042/bj20070511 · Cited by 183 · see citing works
Sharing and Specificity of Co-expression Networks across 35 Human Tissues
Pierson, E., the GTEx Consortium, Koller, D., Battle, A., & Mostafavi, S. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004220 · Cited by 177 · see citing works
The Evolving Understanding of the Contribution of Lipid Metabolism to Diabetic Kidney Disease
Stadler, K., Goldberg, I. J., & Susztak, K. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0611-8 · Cited by 165 · see citing works
The role of proteomics in defining the human embryonic secretome
Katz-Jaffe, M. G., McReynolds, S., Gardner, D. K., et al. (2009) · Molecular Human Reproduction · doi:10.1093/molehr/gap012 · Cited by 158 · see citing works
Villanueva, C. J., Vergnes, L., Wang, J., Drew, B. G., Hong, C., Tu, Y., Hu, Y., Xu, P., Xu, F., Sáez, E., et al. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.01.016 · Cited by 147 · see citing works
Self-citationBennett, B. J., Davis, R. C., Civelek, M., Orozco, L. D., Wu, J., Qi, H., Pan, C., Packard, R. R. S., Eskin, E., Yan, M., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005711 · Cited by 135 · see citing works
Self-citationFibroblast Growth Factor Signaling in Metabolic Regulation
Nies, V. J. M., Sancar, G., Liu, W., van Zutphen, T., Struik, D., Yu, R. T., Atkins, A. R., Evans, R. M., Jonker, J. W., & Downes, M. (2016) · Frontiers in Endocrinology · doi:10.3389/fendo.2015.00193 · Cited by 135 · see citing works
Studies of the release and turnover of a human neutrophil lipocalin
Axelsson, L., Bergenfeldt, M., & OHLSSON, K. (1995) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.3109/00365519509110257 · Cited by 132 · see citing works
Harbuz, M. S., Stephanou, A., Sarlis, N. J., & Lightman, S. L. (1992) · Journal of Endocrinology · doi:10.1677/joe.0.1330349 · Cited by 123 · see citing works
Seldin, M. M., Lei, X., Tan, S. Y., Stanson, K. P., Wei, Z., & Wong, G. W. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.500736 · Cited by 120 · see citing works
Self-citationHolt, J. C., Harris, M. E., Holt, A. M., Lange, E., Henschen, A., & Niewiarowski, S. (1986) · Biochemistry · doi:10.1021/bi00356a023 · Cited by 119 · see citing works
Rankin, T. L., Tsuruta, K. J., Holland, M. K., et al. (1992) · Biology of Reproduction · doi:10.1095/biolreprod46.5.747 · Cited by 115 · see citing works
Park, J., Kim, M. G., Sun, K., An, Y., Gu, X., & Scherer, P. E. (2017) · Diabetes · doi:10.2337/db16-1081 · Cited by 114 · see citing works
SMOC1 Is Essential for Ocular and Limb Development in Humans and Mice
Okada, I., Hamanoue, H., Terada, K., Tohma, T., Mégarbané, A., Chouery, É., Ghoch, J. A., Jalkh, N., Çoğulu, Ö., Özkınay, F., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.012 · Cited by 112 · see citing works
Ayers, K. L., Gallet, A., Staccini-Lavenant, L., & Thérond, P. P. (2010) · Developmental Cell · doi:10.1016/j.devcel.2010.02.015 · Cited by 110 · see citing works
Wnt signaling in kidney development and disease
Pulkkinen, K., Subramanian, M., & Vainio, S. J. (2008) · Organogenesis · doi:10.4161/org.4.2.5849 · Cited by 106 · see citing works
Fulzele, K. S., Lai, F., Dedic, C., Saini, V., Uda, Y., Shi, C., Tuck, P., Aronson, J., Liu, X., Spatz, J., et al. (2016) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3001 · Cited by 100 · see citing works
Schiefner, A., & Skerra, A. (2015) · Accounts of Chemical Research · doi:10.1021/ar5003973 · Cited by 97 · see citing works
Sex Steroid Receptor Expression Profile in Brown Adipose Tissue. Effects of Hormonal Status
Rodriguez-Cuenca, S., Monjo, M., Frontera, M., Gianotti, M., Proenza, A. M., & Roca, P. (2007) · Cellular Physiology and Biochemistry · doi:10.1159/000110448 · Cited by 92 · see citing works
Induction of Beige-Like Adipocytes in 3T3-L1 Cells
Asano, H., Kanamori, Y., Higurashi, S., Nara, T., Kato, K., Matsui, T., & Funaba, M. (2013) · Journal of Veterinary Medical Science · doi:10.1292/jvms.13-0359 · Cited by 90 · see citing works
Rainger, J., van Beusekom, E., Ramsay, J. K., McKie, L., Al‐Gazali, L., Pallotta, R., Saponari, A., Branney, P., Fisher, M. E., Morrison, H., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002114 · Cited by 90 · see citing works
Ma, J. (2003) · Journal of Molecular and Cellular Cardiology · doi:10.1016/s0022-2828(03)00179-2 · Cited by 88 · see citing works
Pathway-Based Biomarker Search by High-Throughput Proteomics Profiling of Secretomes
Lawlor, K., Nazarian, A., Lacomis, L., Tempst, P., & Villanueva, J. (2009) · Journal of Proteome Research · doi:10.1021/pr8008572 · Cited by 88 · see citing works
Lynch, M. R., Tran, M. T., & Parikh, S. M. (2017) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00263.2017 · Cited by 85 · see citing works
Himmelfarb, M., Klopocki, E., Grube, S., et al. (2003) · Cancer Letters · doi:10.1016/j.canlet.2003.09.011 · Cited by 79 · see citing works
Awwad, K., Hu, J., Shi, L., Mangels, N., Abdel Malik, R., Zippel, N., Fisslthaler, B., Eble, J. A., Pfeilschifter, J., Popp, R., et al. (2015) · Cardiovascular Research · doi:10.1093/cvr/cvv098 · Cited by 77 · see citing works
Characterization of the human visceral adipose tissue secretome
Álvarez‐Llamas, G., Szalowska, E., de Vries, M. P., Weening, D., Landman, K., Hoek, A., Wolffenbuttel, B. H. R., Roelofsen, H., & Vonk, R. J. (2007) · University of Groningen research database (University of Groningen / Centre for Information Technology) · Cited by 75 · see citing works
The potential clinical impact of the tissue-based map of the human proteome
Lindskog, C. (2015) · Expert Review of Proteomics · doi:10.1586/14789450.2015.1040771 · Cited by 67 · see citing works
Targeting adipose tissue via systemic gene therapy
O'Neill, S. M., Hinkle, C. C., Chen, S.-J., Sandhu, A. P. S., Hovhannisyan, R. H., Stephan, S., Lagor, W. R., Ahima, R. S., Johnston, J. C., & Reilly, M. P. (2014) · Gene Therapy · doi:10.1038/gt.2014.38 · Cited by 62 · see citing works
John, Midgley, A. C., Meran, S., et al. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.670521 · Cited by 54 · see citing works
Rose, M., Gaisa, N. T., Antony, P., Fiedler, D., Heidenreich, A., Otto, W., Denzinger, S., Bertz, S., Hartmann, A., Karl, A., et al. (2013) · Carcinogenesis · doi:10.1093/carcin/bgt375 · Cited by 52 · see citing works
LCN6, a novel human epididymal lipocalin
Hamil, K. G., Liu, Q., Sivashanmugam, P., Moorthy, A., Yenugu, S., Soundararajan, R., Grossman, G., Rao, A., Birse, C. E., Ruben, S. M., et al. (2003) · Reproductive Biology and Endocrinology · doi:10.1186/1477-7827-1-112 · Cited by 50 · see citing works
Lareyre, J., Zheng, W.-L., Zhao, G.-Q., Kasper, S., Newcomer, M. E., Matusik, R. J., Ong, D. E., & Orgebin‐Crist, M. (1998) · Endocrinology · doi:10.1210/endo.139.6.6074 · Cited by 49 · see citing works
Increased Levels of Neutrophil-Activating Peptide-2 in Acute Coronary Syndromes
Smith, C., Damås, J. K., Otterdal, K., et al. (2006) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2006.06.060 · Cited by 47 · see citing works
Regional mapping of RBP4 to 10q23?q24 and RBP1 to 3q21?q22 in man
Rocchi, M., Covone, A. E., Romeo, G., Faraonio, R., & Colantuoni, V. (1989) · Somatic Cell and Molecular Genetics · doi:10.1007/bf01535081 · Cited by 42 · see citing works
Acute exposure to resveratrol inhibits AMPK activity in human skeletal muscle cells
Skrobuk, P., von Kraemer, S., Semenova, M. M., Zitting, A. J., & Koistinen, H. A. (2012) · Diabetologia · doi:10.1007/s00125-012-2691-1 · Cited by 42 · see citing works
Self-citationCa2+ sparks and T tubule reorganization in dedifferentiating adult mouse skeletal muscle fibers
Brown, L. D., Rodney, G. G., Hernández‐Ochoa, E. O., Ward, C. W., & Schneider, M. F. (2006) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00397.2006 · Cited by 42 · see citing works
Kloten, V., Rose, M., Kaspar, S., von Stillfried, S. F., Knüchel, R., & Dahl, E. (2014) · Epigenetics · doi:10.4161/epi.32089 · Cited by 41 · see citing works
ITIH‐5 Expression in Human Adipose Tissue Is Increased in Obesity
Anveden, Å., Sjöholm, K., Jacobson, P., Pálsdóttir, V., Walley, A. J., Froguel, P., Al‐Daghri, N. M., McTernan, P. G., Mejhert, N., Arner, P., et al. (2011) · Obesity · doi:10.1038/oby.2011.268 · Cited by 38 · see citing works
Ghrelin: A recently discovered gut-brain peptide (Review)
Lazarczyk, M., Lazarczyk, M. J., & Grzela, T. (2003) · International Journal of Molecular Medicine · doi:10.3892/ijmm.12.3.279 · Cited by 38 · see citing works
Dötsch, M. M., Kloten, V., Schlensog, M., et al. (2015) · Epigenetics · doi:10.1080/15592294.2015.1078049 · Cited by 37 · see citing works
A systematic analysis of human lipocalin family and its expression in esophageal carcinoma
Du, Z., Wu, B., Wu, X., Lin, X., Qiu, X., Zhan, X.-F., Wang, S., Shen, J., Zheng, C.-P., Wu, Z., et al. (2015) · Scientific Reports · doi:10.1038/srep12010 · Cited by 34 · see citing works
The 18-kDa Mouse Epididymal Protein (MEP 10) Binds Retinoic Acid1
Rankin, T. L., Ong, D. E., & Orgebin‐Crist, M. (1992) · Biology of Reproduction · doi:10.1095/biolreprod46.5.767 · Cited by 32 · see citing works
Long, Q., Argmann, C., Houten, S. M., Huang, T., Peng, S., Zhao, Y. B., Tu, Z., & Zhu, J. (2016) · Genome Medicine · doi:10.1186/s13073-016-0268-1 · Cited by 32 · see citing works
Hasin-Brumshtein, Y., Khan, A. H., Hormozdiari, F., Pan, C., Parks, B. W., Petyuk, V., Piehowski, P., Brümmer, A., Pellegrini, M. A., Xiao, X. G., et al. (2016) · eLife · doi:10.7554/elife.15614 · Cited by 32 · see citing works
Self-citationEhlert, J. E., Gerdes, J., Flad, H. ‐., et al. (1998) · PubMed · Cited by 31 · see citing works
Wnt inhibition enhances browning of mouse primary white adipocytes
Lo, K. A., Ng, P. Y., Kabiri, Z., Virshup, D. M., & Sun, L. (2016) · Adipocyte · doi:10.1080/21623945.2016.1148834 · Cited by 31 · see citing works
Yu, X., Suzuki, K., Wang, Y., Gupta, A., Jin, R., Orgebin‐Crist, M., & Matusik, R. J. (2006) · Molecular Endocrinology · doi:10.1210/me.2006-0008 · Cited by 30 · see citing works
Ehlert, J. E., Gerdes, J., Flad, H., et al. (1998) · The Journal of Immunology · doi:10.4049/jimmunol.161.9.4975 · Cited by 29 · see citing works
Dally and Notum regulate the switch between low and high level Hedgehog pathway signalling
Ayers, K. L., Mteirek, R., Cervantes, A., et al. (2012) · Development · doi:10.1242/dev.078402 · Cited by 25 · see citing works
UniSave: the UniProtKB Sequence/Annotation Version database
Leinonen, R., Nardone, F., Zhu, W., et al. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl105 · Cited by 22 · see citing works
Generation of Mice with Hepatocyte-Specific Conditional Deletion of Notum
Canal, F., Charawi, S., Grimber, G., Houbron, C., Drouet, V., Colnot, S., Terris, B., Cavard, C., & Perret, C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150997 · Cited by 19 · see citing works
Decreased ITIH5 expression is associated with poor prognosis in primary gastric cancer
Mai, C., Zhao, J.-J., Tang, X.-F., et al. (2014) · Medical Oncology · doi:10.1007/s12032-014-0053-1 · Cited by 14 · see citing works
An adaptive test of significance for a subset of regression coefficients
O’Gorman, T. W. (2002) · Statistics in Medicine · doi:10.1002/sim.1278 · Cited by 11 · see citing works
J. J. R. Macleod: the co-discoverer of insulin.
Mj, W. (1993) · PubMed · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The endocrine function of adipose tissues in health and cardiometabolic disease
Scheja, L., & Heeren, J. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0230-6 · Cited by 663 · see citing works
Inter-organ cross-talk in metabolic syndrome
Priest, C., & Tontonoz, P. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0145-5 · Cited by 279 · see citing works
Inter‐organ communication: a gatekeeper for metabolic health
Castillo‐Armengol, J., Fajas, L., & Lopez‐Mejia, I. C. (2019) · The EMBO Reports · doi:10.15252/embr.201947903 · Cited by 178 · see citing works
Network modeling of single-cell omics data: challenges, opportunities, and progresses
Blencowe, M., Arneson, D., Ding, J., Chen, Y.-W., Saleem, Z., & Yang, X. (2019) · Emerging Topics in Life Sciences · doi:10.1042/etls20180176 · Cited by 73 · see citing works
Myokines: Metabolic regulation in obesity and type 2 diabetes
Chen, Z.-T., Weng, Z.-X., Lin, J. D., & Meng, Z.-X. (2024) · Life Metabolism · doi:10.1093/lifemeta/loae006 · Cited by 58 · see citing works
- Authors
- Seldin, M. M., Koplev, S., Rajbhandari, P., Vergnes, L., Rosenberg, G. M., Meng, Y., Pan, C., Phuong, T. M. N., Gharakhanian, R., Che, N., Mäkinen, S., Shih, D. M., Civelek, M., Parks, B. W., Kim, E. D., Norheim, F., Chella Krishnan, K., Hasin-Brumshtein, Y., Mehrabian, M., Laakso, M., Drevon, C. A., Koistinen, H. A., Tontonoz, P., Reue, K., Cantor, R. M., Björkegren, J. L. M., & Lusis, A. J.
- Affiliations
- University of California, Los Angeles (US)
- Karolinska University Hospital (SE)
- University of Helsinki (FI)
- University of Virginia (US)
- University of Wisconsin–Madison (US)
- University of Oslo (NO)
- University of Eastern Finland (FI)
- Corresponding author
- Lusis, Aldons J.
- ORCID
- Seldin, Marcus M.
- Koplev, Simon
- Rajbhandari, Prashant
- Vergnes, Laurent
- Rosenberg, Gregory M.
- Meng, Yonghong
- Pan, Calvin
- Gharakhanian, Raffi
- Mäkinen, Selina
- Shih, Diana M.
- Civelek, Mete
- Parks, Brian W.
- Norheim, Frode
- Hasin-Brumshtein, Yehudit
- Mehrabian, Margarete
- Laakso, Markku
- Drevon, Christian A.
- Koistinen, Heikki A.
- Tontonoz, Peter
- Reue, Karen
- Cantor, Rita M.
- Björkegren, Johan L.M.
- Lusis, Aldons J.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 27
- Issue
- 5
- Pages
- 1138-1155.e6
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC5935137
- OpenAlex
- W2800349415
- Cited by
- 84
- References
- 122
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 9 · 2023: 19 · 2022: 11 · 2021: 8 · 2020: 6 · 2019: 9 · 2018: 1
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nd)
- Funders
- NIH (T32HL007895, T32HL69766, HL28481, HL30568, R00HL121172)
- Fondation Leducq (12CVD02)
- Topics
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- inter-tissue communication, hormone signaling, secreted proteins, Hybrid Mouse Diversity Panel, multi-tissue gene expression, notum, skeletal muscle mitochondrial function, white adipose tissue browning, whole-body metabolism
- MeSH terms
- Adipose Tissue, Animals, Cells, Cultured, Endocrine System, Homeostasis, Mice, Inbred C57BL, Mitochondria, Muscle, Skeletal, Mitochondrial Proteins, Proteomics, Mice, Lipocalins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review