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Lysosome: The metabolic signaling hub
Abstract
For the past five decades, the lysosome has been characterized as an unglamorous cellular recycling center. This notion has undergone a radical shift in the last 10 years, with new research revealing that this organelle serves as a major hub for metabolic signaling pathways. The discovery that master growth regulators, including the protein kinase mTOR (mechanistic target of rapamycin), make their home at the lysosomal surface has generated intense interest in the lysosome's key role in nutrient sensing and cellular homeostasis. The transcriptional networks required for lysosomal maintenance and function are just being unraveled and their connection to lysosome‐based signaling pathways revealed. The catabolic and anabolic pathways that converge on the lysosome connect this organelle with multiple facets of cellular function; when these pathways are deregulated they underlie multiple human diseases, and promote cellular and organismal aging. Thus, understanding how lysosome‐based signaling pathways function will not only illuminate the fascinating biology of this organelle but will also be critical in unlocking its therapeutic potentials.
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mTORC1 is regulated by nutrients and hormonal cues, notably amino acids, glucose, oxygen, and cholesterol.
“mTORC1 is regulated by a wide range of nutrients and hormonal cues, most notably the availability of amino acids, but also glucose, oxygen, and cholesterol 1–3.”
From Targeting the biology of aging with mTOR inhibitors (2023) · cites this paper as [3]
In “Metabolic signaling at the lysosomal surface” (page not provided), the paper says mTORC1 integrates hormonal cues and senses amino acids, glucose, and cholesterol; it also emphasizes its sensitivity to amino acids. The paper does not identify oxygen availability as an mTORC1 regulatory cue. A search for oxygen found it only in a reference title about oxygen-glucose deprivation, not in the paper’s account of mTORC1 regulation. (LLM, conf=0.88)
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Citations
Cites
AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1
Kim, J., Kundu, M., Viollet, B., & Guan, K.-L. (2011) · Nature Cell Biology · doi:10.1038/ncb2152 · Cited by 7,227
Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex
Sarbassov, D. D., Guertin, D. A., Ali, S. M., & Sabatini, D. M. (2005) · Science · doi:10.1126/science.1106148 · Cited by 6,216
Rapamycin fed late in life extends lifespan in genetically heterogeneous mice
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., et al. (2009) · Nature · doi:10.1038/nature08221 · Cited by 3,766
TFEB Links Autophagy to Lysosomal Biogenesis
Settembre, C., Di Malta, C., Polito, V. A., Arencibia, M. G., Vetrini, F., Erdin, S., Erdin, S. U., Huynh, T., Medina, D., Colella, P., et al. (2011) · Science · doi:10.1126/science.1204592 · Cited by 3,365
Levy, J. M. M., Towers, C. G., & Thorburn, A. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.53 · Cited by 2,526
Sancak, Y., Bar-Peled, L., Zoncu, R., Markhard, A. L., Nada, S., & Sabatini, D. M. (2010) · Cell · doi:10.1016/j.cell.2010.02.024 · Cited by 2,464 · cited 1×
“Correspondingly, patient fibroblasts have a marked reduction in amino acid-induced activation of mTORC1 signaling.(46) The clinical phenotype associating albinism and immunodeficiency is similar to other disorders caused by defects in specialized secretory lysosomes such as melanomes and cytotoxic granules.”
BackgroundSelf-citationRheb GTPase is a direct target of TSC2 GAP activity and regulates mTOR signaling
Inoki, K., Li, Y., Xu, T., & Guan, K.-L. (2003) · Genes & Development · doi:10.1101/gad.1110003 · Cited by 1,911
Loewith, R., Jacinto, E., Wullschleger, S., Lorberg, A., Crespo, J. L., Bonenfant, D., Oppliger, W., Jenoe, P., & Hall, M. N. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00636-6 · Cited by 1,886
Zoncu, R., Bar-Peled, L., Efeyan, A., Wang, S., Sancak, Y., & Sabatini, D. M. (2011) · Science · doi:10.1126/science.1207056 · Cited by 1,673
Self-citationTermination of autophagy and reformation of lysosomes regulated by mTOR
Yu, L., McPhee, C. K., Zheng, L., Mardones, G. A., Rong, Y., Peng, J., Mi, N., Zhao, Y., Liu, Z., Wan, F., et al. (2010) · Nature · doi:10.1038/nature09076 · Cited by 1,544
Regulation of TORC1 by Rag GTPases in nutrient response
Kim, E., Goraksha-Hicks, P., Li, L., Neufeld, T. P., & Guan, K.-L. (2008) · Nature Cell Biology · doi:10.1038/ncb1753 · Cited by 1,349
The role for autophagy in cancer
White, E. (2015) · Journal of Clinical Investigation · doi:10.1172/jci73941 · Cited by 1,332
Sestrin2 is a leucine sensor for the mTORC1 pathway
Wolfson, R. L., Chantranupong, L., Saxton, R. A., Shen, K., Scaria, S. M., Cantor, J. R., & Sabatini, D. M. (2016) · Science · doi:10.1126/science.aab2674 · Cited by 1,306
Ribosomal Protein S6 Kinase 1 Signaling Regulates Mammalian Life Span
Selman, C., Tullet, J. M. A., Wieser, D., Irvine, E., Lingard, S. J., Choudhury, A. I., Claret, M., Al-Qassab, H., Carmignac, D., Ramadani, F., et al. (2009) · Science · doi:10.1126/science.1177221 · Cited by 1,120
Bar-Peled, L., Chantranupong, L., Cherniack, A. D., Chen, W. W., Ottina, K. A., Grabiner, B. C., Spear, E. D., Carter, S. L., Meyerson, M., & Sabatini, D. M. (2013) · Science · doi:10.1126/science.1232044 · Cited by 1,080 · cited 1×
“The nucleotide loading state of RagA and RagB are also controlled by the GATOR complexes.(61,62) GATOR1, which consists of the pro-”
BackgroundSelf-citationRagulator Is a GEF for the Rag GTPases that Signal Amino Acid Levels to mTORC1
Bar-Peled, L., Schweitzer, L. D., Zoncu, R., & Sabatini, D. M. (2012) · Cell · doi:10.1016/j.cell.2012.07.032 · Cited by 918
Self-citationPlasma membrane contributes to the formation of pre-autophagosomal structures
Ravikumar, B., Moreau, K., Jahreiss, L., Puri, C., & Rubinsztein, D. C. (2010) · Nature Cell Biology · doi:10.1038/ncb2078 · Cited by 902
Isolation of a Protein Target of the FKBP12-Rapamycin Complex in Mammalian Cells
Sabers, C. J., Martin, M. M., Brunn, G. J., Williams, J. M., Dumont, F. J., Wiederrecht, G., & Abraham, R. T. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.2.815 · Cited by 887
The CASTOR Proteins Are Arginine Sensors for the mTORC1 Pathway
Chantranupong, L., Scaria, S. M., Saxton, R. A., Gygi, M. P., Shen, K., Wyant, G. A., Wang, T., Harper, J. W., Gygi, S. P., & Sabatini, D. M. (2016) · Cell · doi:10.1016/j.cell.2016.02.035 · Cited by 843
mTOR inhibition improves immune function in the elderly
Mannick, J. B., Del Giudice, G., Lattanzi, M., Valiante, N. M., Praestgaard, J., Huang, B., Lonetto, M. A., Maecker, H. T., Kovarik, J., Carson, S., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3009892 · Cited by 786
A Role for Autophagy in the Extension of Lifespan by Dietary Restriction in C. elegans
Hansen, M., Chandra, A., Mitic, L. L., Onken, B., Driscoll, M., & Kenyon, C. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.0040024 · Cited by 766
Overexpression of Atg5 in mice activates autophagy and extends lifespan
Pyo, J.-O., Yoo, S.-M., Ahn, H.-H., Nah, J., Hong, S.-H., Kam, T.-I., Jung, S., & Jung, Y.-K. (2013) · Nature Communications · doi:10.1038/ncomms3300 · Cited by 721
Suppression of insulin feedback enhances the efficacy of PI3K inhibitors
Hopkins, B. D., Pauli, C., Du, X., Wang, D. G., Li, X., Wu, D., Amadiume, S. C., Goncalves, M. D., Hodakoski, C., Lundquist, M. R., et al. (2018) · Nature · doi:10.1038/s41586-018-0343-4 · Cited by 706
SLC38A9 is a component of the lysosomal amino acid sensing machinery that controls mTORC1
Rebsamen, M., Pochini, L., Stasyk, T., de Araújo, M. E. G., Galluccio, M., Kandasamy, R. K., Snijder, B., Fauster, A., Rudashevskaya, E. L., Bruckner, M., et al. (2015) · Nature · doi:10.1038/nature14107 · Cited by 673
The autophagy initiating kinase ULK1 is regulated via opposing phosphorylation by AMPK and mTOR
Egan, D., Kim, J., Shaw, R. J., & Guan, K.-L. (2011) · Autophagy · doi:10.4161/auto.7.6.15123 · Cited by 627
Lysosomal cholesterol activates mTORC1 via an SLC38A9–Niemann-Pick C1 signaling complex
Castellano, B. M., Thelen, A. M., Moldavski, O., Feltes, M., van der Welle, R. E. N., Mydock-McGrane, L., Jiang, X., van Eijkeren, R. J., Davis, O. B., Louie, S. M., et al. (2017) · Science · doi:10.1126/science.aag1417 · Cited by 562
Mechanisms of mTORC1 activation by RHEB and inhibition by PRAS40
Yang, H., Jiang, X., Li, B., Yang, H. J., Miller, M., Yang, A., Dhar, A., & Pavletich, N. P. (2017) · Nature · doi:10.1038/nature25023 · Cited by 548
The metabolic footprint of aging in mice
Houtkooper, R. H., Argmann, C., Houten, S. M., Cantó, C., Jeninga, E. H., Andreux, P. A., Thomas, C., Doenlen, R., Schoonjans, K., & Auwerx, J. (2011) · Scientific Reports · doi:10.1038/srep00134 · Cited by 528
Protein Homeostasis and Aging: the importance of exquisite quality control
Koga, H., Kaushik, S., & Cuervo, A. M. (2011) · Ageing research reviews · doi:10.1016/j.arr.2010.02.001 · Cited by 476
Structural basis for leucine sensing by the Sestrin2-mTORC1 pathway
Saxton, R. A., Knockenhauer, K. E., Wolfson, R. L., Chantranupong, L., Pacold, M. E., Wang, T., Schwartz, T. U., & Sabatini, D. M. (2016) · Science · doi:10.1126/science.aad2087 · Cited by 457
NUFIP1 is a ribosome receptor for starvation-induced ribophagy
Wyant, G. A., Abu-Remaileh, M., Frenkel, E. M., Laqtom, N. N., Dharamdasani, V., Lewis, C. A., Chan, S. H., Heinze, I., Ori, A., & Sabatini, D. M. (2018) · Science · doi:10.1126/science.aar2663 · Cited by 363
Recruitment of folliculin to lysosomes supports the amino acid–dependent activation of Rag GTPases
Petit, C. S., Roczniak-Ferguson, A., & Ferguson, S. M. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201307084 · Cited by 355
Amino Acid-Dependent mTORC1 Regulation by the Lysosomal Membrane Protein SLC38A9
Jung, J., Genau, H. M., & Behrends, C. (2015) · Molecular and Cellular Biology · doi:10.1128/mcb.00125-15 · Cited by 266
Min, J.-N., Whaley, R. A., Sharpless, N. E., Lockyer, P., Portbury, A. L., & Patterson, C. (2008) · Molecular and Cellular Biology · doi:10.1128/mcb.00296-08 · Cited by 256
Wang, C., Mao, X., Wang, L., Liu, M., Wetzel, M. D., Guan, K.-L., Dong, L. Q., & Liu, F. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m700098200 · Cited by 210
Architecture of the human GATOR1 and GATOR1–Rag GTPases complexes
Shen, K., Huang, R. K., Brignole, E. J., Condon, K. J., Valenstein, M. L., Chantranupong, L., Bomaliyamu, A., Choe, A., Hong, C., Yu, Z., et al. (2018) · Nature · doi:10.1038/nature26158 · Cited by 192
Systematic analysis of ribophagy in human cells reveals bystander flux during selective autophagy
An, H., & Harper, J. W. (2018) · Nature Cell Biology · doi:10.1038/s41556-017-0007-x · Cited by 181
Park, H.-K., & Ahima, R. S. (2014) · F1000Prime Reports · doi:10.12703/p6-73 · Cited by 171
Crystal structure of the human lysosomal mTORC1 scaffold complex and its impact on signaling
de Araujo, M. E. G., Naschberger, A., Fürnrohr, B. G., Stasyk, T., Dunzendorfer-Matt, T., Lechner, S., Welti, S., Kremser, L., Shivalingaiah, G., Offterdinger, M., et al. (2017) · Science · doi:10.1126/science.aao1583 · Cited by 134
Structural basis for the assembly of the Ragulator-Rag GTPase complex
Yonehara, R., Nada, S., Nakai, T., Nakai, M., Kitamura, A., Ogawa, A., Nakatsumi, H., Nakayama, K. I., Li, S., Standley, D. M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01762-3 · Cited by 75
Brown-Borg, H. M., & Buffenstein, R. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2016.08.007 · Cited by 70
Shavlakadze, T., Zhu, J., Wang, S., Zhou, W., Morin, B., Egerman, M. A., Fan, L., Wang, Y., Iartchouk, O., Meyer, A., et al. (2018) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glx249 · Cited by 59
Phosphorylation of Akt at the C-terminal tail triggers Akt Activation
Liu, P., Wang, Z., & Wei, W. (2014) · Cell Cycle · doi:10.4161/cc.29584 · Cited by 49
Flagged first, then by citations
Research works printed but not linked: 154
- 10.1083/jcb.91.3.66s · DOI
- 10.1038/ncb0905-847 · DOI
- 10.1083/jcb.9.4.773 · DOI
- Straus W, 1954, Isolation and biochemical properties of droplets from the cells of rat kidney, J Biol Chem, 207, 745, 10.1016/S0021-9258(18)65693-5 · DOI
- 10.1038/nrm2272 · DOI
- 10.1038/nrm3565 · DOI
- 10.1146/annurev-cellbio-111315-125125 · DOI
- 10.1002/path.3021 · DOI
- 10.1101/sqb.2016.81.030981 · DOI
- 10.1073/pnas.1716173114 · DOI
- 10.3233/NHA-180045 · DOI
- 10.1038/369756a0 · DOI · Paper page
- 10.1016/0092-8674(94)90570-3 · DOI · Paper page
- 10.1016/S0092-8674(02)00808-5 · DOI
- 10.1016/S1097-2765(03)00114-X · DOI
- 10.1016/S0092-8674(02)00833-4 · DOI
- 10.1016/j.cmet.2016.05.009 · DOI · Paper page
- 10.1038/ncb1183 · DOI
- 10.1016/j.cub.2004.06.054 · DOI · Paper page
- 10.1016/j.cub.2006.08.001 · DOI
- 10.1038/ncb999 · DOI
- 10.1677/ERC-06-0091 · DOI
- 10.1186/2193-1801-3-735 · DOI · Paper page
- 10.1016/S0303-7207(99)00121-5 · DOI
- 10.1126/science.1196371 · DOI · Paper page
- 10.1074/jbc.272.42.26457 · DOI
- 10.1126/science.1236566 · DOI
- 10.1158/2159-8290.CD-15-0460 · DOI
- 10.1194/jlr.M028787 · DOI
- 10.1016/j.cell.2011.02.014 · DOI
- 10.1038/emboj.2008.119 · DOI
- 10.1016/j.cell.2015.02.041 · DOI
- 10.1016/j.cell.2017.09.046 · DOI
- 10.1126/science.aan6298 · DOI
- 10.1242/jcs.111.1.11 · DOI
- 10.1074/jbc.M004389200 · DOI
- 10.1126/science.1157535 · DOI · Paper page
- 10.1016/j.molcel.2005.05.020 · DOI
- 10.4161/cc.26000 · DOI
- 10.1016/j.jmb.2010.07.034 · DOI · Paper page
- 10.1016/j.molcel.2017.10.016 · DOI
- 10.1038/s41467-017-01567-4 · DOI
- 10.1038/emboj.2012.252 · DOI
- 10.1038/nm1528 · DOI
- 10.1016/j.celrep.2013.07.030 · DOI · Paper page
- 10.1016/j.devcel.2014.03.017 · DOI
- 10.1126/science.1095291 · DOI
- 10.1126/scisignal.2004112 · DOI · Paper page
- 10.1038/nature21423 · DOI
- 10.1038/nature21378 · DOI · Paper page
- 10.1016/j.molcel.2013.09.016 · DOI · Paper page
- 10.1083/jcb.201712177 · DOI · Paper page
- 10.1371/journal.pone.0157100 · DOI
- 10.1074/jbc.M116.719997 · DOI
- 10.1016/j.celrep.2014.09.014 · DOI · Paper page
- 10.1016/j.celrep.2014.10.019 · DOI · Paper page
- 10.1016/j.cell.2014.08.038 · DOI · Paper page
- 10.1126/scisignal.aah4497 · DOI
- 10.1038/ncomms10025 · DOI
- 10.1038/nature19079 · DOI · Paper page
- 10.1126/science.1257132 · DOI
- 10.1126/science.aao3265 · DOI
- 10.1096/fj.201701211R · DOI
- 10.1111/nyas.13687 · DOI
- 10.1038/s41598-017-10381-3 · DOI
- 10.1016/j.yfrne.2017.12.002 · DOI
- 10.1016/j.mad.2018.07.004 · DOI
- 10.1016/j.molcel.2012.05.043 · DOI
- 10.1016/j.molcel.2016.08.016 · DOI
- 10.1016/j.molcel.2012.06.009 · DOI · Paper page
- 10.1038/ncb839 · DOI · Paper page
- 10.1016/S0092-8674(03)00929-2 · DOI · Paper page
- 10.1016/j.cell.2005.02.031 · DOI · Paper page
- 10.1016/j.cell.2006.06.055 · DOI · Paper page
- 10.1016/j.cell.2007.05.058 · DOI
- 10.1007/s11357-017-9997-3 · DOI
- 10.1016/j.cell.2013.11.049 · DOI · Paper page
- 10.1016/j.cell.2014.01.024 · DOI
- 10.1073/pnas.1302455110 · DOI · Paper page
- 10.4049/jimmunol.1701712 · DOI
- 10.1096/fj.13-237743 · DOI
- 10.1016/j.celrep.2015.03.010 · DOI
- 10.1073/pnas.1318676110 · DOI
- 10.1016/j.molcel.2017.05.030 · DOI
- 10.1016/j.cmet.2013.08.002 · DOI
- 10.1126/science.1228792 · DOI · Paper page
- 10.1038/nature09584 · DOI · Paper page
- 10.1002/glia.22566 · DOI
- 10.1042/CS20150554 · DOI
- 10.1126/science.1174447 · DOI · Paper page
- 10.1093/hmg/ddr306 · DOI · Paper page
- 10.1006/geno.1998.5588 · DOI
- 10.1242/jcs.146365 · DOI
- 10.1038/emboj.2012.32 · DOI · Paper page
- 10.1126/scisignal.2002790 · DOI
- 10.1038/ncb3114 · DOI
- 10.1016/j.molcel.2013.01.024 · DOI · Paper page
- 10.1038/nature13961 · DOI
- 10.1038/nature13949 · DOI
- 10.1016/j.gde.2014.04.003 · DOI
- 10.1016/0014-5793(93)80398-E · DOI
- 10.1016/j.cub.2018.01.004 · DOI · Paper page
- 10.1038/ncb1723 · DOI · Paper page
- 10.1074/jbc.M115.689646 · DOI
- 10.1038/ncomms12420 · DOI · Paper page
- 10.1038/ncb2757 · DOI · Paper page
- 10.1083/jcb.200907014 · DOI
- 10.1177/38.4.2319125 · DOI
- 10.1016/j.cell.2010.04.009 · DOI
- 10.1016/j.devcel.2011.02.006 · DOI
- 10.1002/bies.201200130 · DOI
- 10.1016/j.cell.2012.11.001 · DOI
- 10.1038/nature14147 · DOI
- 10.1242/jcs.01370 · DOI
- 10.1091/mbc.e13-08-0447 · DOI · Paper page
- 10.1016/j.cub.2010.08.002 · DOI
- 10.1016/j.molcel.2014.11.006 · DOI · Paper page
- 10.1111/tra.12484 · DOI
- 10.1038/ncb2557 · DOI · Paper page
- 10.1016/j.devcel.2016.04.014 · DOI
- 10.1038/emboj.2012.341 · DOI · Paper page
- 10.1016/j.biocel.2015.11.009 · DOI
- 10.1126/science.2799391 · DOI
- 10.1016/0968-0004(90)90019-8 · DOI
- 10.1016/j.molcel.2011.04.025 · DOI
- 10.1038/cr.2013.153 · DOI
- 10.1126/science.273.5274.501 · DOI · Paper page
- 10.1128/MCB.02070-07 · DOI
- 10.1083/jcb.137.4.825 · DOI
- 10.1016/j.molcel.2015.05.030 · DOI
- 10.1007/s12192-016-0672-x · DOI
- 10.1093/gerona/glw090 · DOI
- 10.1093/gerona/glw064 · DOI
- 10.7554/eLife.16351 · DOI · Paper page
- 10.1126/scisignal.2000559 · DOI · Paper page
- 10.1111/acel.12203 · DOI
- 10.4161/cc.10.24.18486 · DOI
- 10.1111/acel.12425 · DOI · Paper page
- 10.1016/j.celrep.2016.07.029 · DOI · Paper page
- 10.1172/JCI77361 · DOI · Paper page
- 10.1038/nm.1851 · DOI · Paper page
- 10.1007/978-1-4939-2404-2_3 · DOI
- 10.1046/j.1474-9728.2003.00045.x · DOI · Paper page
- 10.1096/fj.03-0860fje · DOI · Paper page
- 10.4161/auto.5618 · DOI
- 10.4161/auto.5269 · DOI · Paper page
- 10.1016/j.cmet.2009.11.010 · DOI · Paper page
- 10.3389/fnins.2018.00255 · DOI
- 10.1093/brain/awv385 · DOI
- 10.1080/15548627.2016.1164369 · DOI
- 10.1093/brain/awq341 · DOI · Paper page
- 10.1016/j.molcel.2015.05.031 · DOI · Paper page
- 10.1038/nrclinonc.2018.28 · DOI · Paper page
- 10.1056/NEJMoa1403352 · DOI
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Metadata
- Authors
- Lamming, D. W., & Bar‐Peled, L.
- Affiliations
- William S. Middleton Memorial Veterans Hospital Madison Wisconsin
- Department of Molecular Medicine The Scripps Research Institute La Jolla California
- Venue
- Traffic
- Publisher
- Wiley
- Published
- 2018-11-14
- Volume
- 20
- Issue
- 1
- Pages
- 27-38
- ISSN
- 1398-9219
- 1600-0854
- PMC
- PMC6294686
- Cited by
- 173
- References
- 43
- Language
- en
- Funders
- Diabetes Research Center, University of Washington (2 P30 DK020579)
- National Institutes of Health (AG050135, AG051974, AG056771, CA215249)
- U.S. Department of Veterans Affairs (I01‐BX004031)
- Damon Runyon Cancer Research Foundation (DRG‐2178‐14)
- American Federation for Aging Research
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