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The diverse functions of GAPDH: Views from different subcellular compartments
Open accessAbstract
Multiple roles for glyceraldehyde-3-phosphate dehydrogenase (GAPDH) have been recently appreciated. In addition to the cytoplasm where the majority of GAPDH is located under the basal condition, GAPDH is also found in the particulate fractions, such as the nucleus, the mitochondria, and the small vesicular fractions. When cells are exposed to various stressors, dynamic subcellular re-distribution of GAPDH occurs. Here we review these multifunctional properties of GAPDH, especially linking them to its oligomerization, posttranslational modification, and subcellular localization. This includes mechanistic descriptions of how S-nitrosylation of GAPDH under oxidative stress may lead to cell death/dysfunction via nuclear translocation of GAPDH, which is counteracted by a cytosolic GOSPEL. GAPDH is also involved in various diseases, especially neurodegenerative disorders and cancers. Therapeutic strategies to these conditions based on molecular understanding of GAPDH are discussed.
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“Redox changes may also affect posttranslational modifications of GAPDH, altering its binding to mRNA, metabolites, as well as its localization within the cell (113, 114).”
From Fueling Immunity: Insights into Metabolism and Lymphocyte Function (2013) · cites this paper as [114]
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Cites
Protein S-nitrosylation: a physiological signal for neuronal nitric oxide
Jaffrey, S. R., Erdjument‐Bromage, H., Ferris, C. D., Tempst, P., & Snyder, S. H. (2001) · Nature Cell Biology · doi:10.1038/35055104 · Cited by 1,402
S-nitrosylated GAPDH initiates apoptotic cell death by nuclear translocation following Siah1 binding
Hara, M. R., Agrawal, N., Kim, S. F., Cascio, M. B., Fujimuro, M., Ozeki, Y., Takahashi, M., Cheah, J. H., Tankou, S. K., Hester, L. D., et al. (2005) · Nature Cell Biology · doi:10.1038/ncb1268 · Cited by 1,079
Self-citationDu, X., Matsumura, T., Edelstein, D., Rossetti, L., Zsengellér, Z. K., Szabó, C., & Brownlee, M. (2003) · Journal of Clinical Investigation · doi:10.1172/jci18127 · Cited by 843
Protein S-nitrosylation in health and disease: a current perspective
Foster, M. W., Hess, D. T., & Stamler, J. S. (2009) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2009.06.007 · Cited by 752
Dynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress
Ralser, M., Wamelink, M. M. C., Kowald, A., Gerisch, B., Heeren, G., Struys, E. A., Klipp, E., Jakobs, C., Breitenbach, M., Lehrach, H. R., et al. (2007) · Journal of Biology · doi:10.1186/jbiol61 · Cited by 627
Zheng, L., Roeder, R. G., & Luo, Y. (2003) · Cell · doi:10.1016/s0092-8674(03)00552-x · Cited by 534
Colell, A., Ricci, J.-E., Tait, S., Milasta, S., Maurer, U., Bouchier-Hayes, L., Fitzgerald, P., Guio-Carrion, A., Waterhouse, N. J., Li, C. W., et al. (2007) · Cell · doi:10.1016/j.cell.2007.03.045 · Cited by 516
Sequence-Specific Binding of Transfer RNA by Glyceraldehyde-3-Phosphate Dehydrogenase
Singh, R., & Green, M. R. (1993) · Science · doi:10.1126/science.8420004 · Cited by 481
Huntingtin and DRPLA proteins selectively interact with the enzyme GAPDH
Burke, J. R., Enghild, J. J., Martin, M. E., Jou, Y., Myers, R., Roses, A. D., Vance, J. M., & Strittmatter, W. J. (1996) · Nature Medicine · doi:10.1038/nm0396-347 · Cited by 430
Molecular basis of NMDA receptor-coupled ion channel modulation by S-nitrosylation
Choi, Y., Tenneti, L., Le, D. A., Ortiz, J., Bai, G., Chen, H.-S. V., & Lipton, S. A. (2000) · Nature Neuroscience · doi:10.1038/71090 · Cited by 426
Flagged first, then by citations
Research works printed but not linked: 4
- Brune, 1995, Genet. Eng. (N Y), 17, 149
- Reiss, 1996, Biochem. Mol. Biol. Int., 40, 1191
- Kusner, 2004, Invest. Ophthalmol. Vis. Sci., 45, 1553
- Waldmeier, 2000, J. Neural Transm. Suppl., 197
Cited by
Sorted by citations
Items 201–300 of 663
Li, X., Chen, L., He, F., Li, M., Shen, Q. W., & Zhang, D. (2017) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.8326 · Cited by 29
Mapping the Spatial Proteome of Metastatic Cells in Colorectal Cancer
Mendes, M. L., Peláez‐García, A., López-Lucendo, M. F., Bartolomé, R. A., Calviño, E., Barderas, R., & Casal, J. I. (2017) · PROTEOMICS · doi:10.1002/pmic.201700094 · Cited by 29
Criscitiello, M. F., Kraev, I., Petersen, L. H., & Lange, S. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00651 · Cited by 29
Zeng, T., Dong, Z., Liu, S., Wan, R.-P., Tang, L.-J., Liu, T., Zhao, Q.-H., Shi, Y., Yi, Y., Liao, W., et al. (2014) · Human Genetics · doi:10.1007/s00439-014-1422-8 · Cited by 30
González‐Miguel, J., Morchón, R., Siles‐Lucas, M., Oleaga, A., & Simón, F. (2015) · Acta Tropica · doi:10.1016/j.actatropica.2015.01.010 · Cited by 28
Cytosolic GAPDH: a key mediator in redox signal transduction in plants
Yang, S. S., & Zhai, Q. H. (2017) · Biologia Plantarum · doi:10.1007/s10535-017-0706-y · Cited by 29
Intersections of post-transcriptional gene regulatory mechanisms with intermediary metabolism
Arif, W., Datar, G. K., & Kalsotra, A. (2017) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2017.01.004 · Cited by 28
Gimenez, M. C., Zanetti, F., Terebiznik, M. R., Colombo, M. I., & Delgui, L. R. (2018) · Journal of Virology · doi:10.1128/jvi.01964-17 · Cited by 28
Sugitani, K., Egorova, D., Mizumoto, S., Nishio, S., Yamada, S., Kitagawa, H., Oshima, K., Nadano, D., Matsuda, T., & Miyata, S. (2021) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2020.129804 · Cited by 28
Temperature is a key determinant of alpha- and beta-synuclein membrane interactions in neurons
Ramalingam, N., & Dettmer, U. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100271 · Cited by 29
Elevated glycolysis imparts functional ability to CD8+ T cells in HIV infection
Rahman, A. N.-U., Liu, J., Mujib, S., Kidane, S., Ali, A., Szep, S., Han, C., Bonner, P., Parsons, M., Benko, E., et al. (2021) · Life Science Alliance · doi:10.26508/lsa.202101081 · Cited by 27
Irisin injection mimics exercise effects on the brain proteome
Dehghan, F., Zamani, S., Barreiro, C., & Jami, M. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15493 · Cited by 29
Vujić, T., Schvartz, D., Furlani, I. L., Meister, I., González‐Ruiz, V., Rudaz, S. L., & Sanchez, J. (2022) · Cells · doi:10.3390/cells11233926 · Cited by 28
Zhang, W., McCall, L., & Matlashewski, G. (2012) · Eukaryotic Cell · doi:10.1128/ec.00263-12 · Cited by 28
Transcriptome profile of the early stages of breast cancer tumoral spheroids
Pacheco-Marín, R., Meléndez-Zajgla, J., Castillo-Rojas, G., Mandujano-Tinoco, E. A., García-Venzor, A., Uribe‐Carvajal, S., Cabrera‐Orefice, A., González-Torres, C., Gaytán-Cervantes, J., Mitre-Aguilar, I. B., et al. (2016) · Scientific Reports · doi:10.1038/srep23373 · Cited by 27
Testard, A., Silva, D. D., Ormancey, M., Pichereaux, C., Pouzet, C., Jauneau, A., Grat, S., Robe, E., Brière, C., Cotelle, V., et al. (2016) · Plant and Cell Physiology · doi:10.1093/pcp/pcw137 · Cited by 28
Insights on the functional dualism of nitric oxide in the hallmarks of cancer
Panneerselvan, P., Vasanthakumar, K., Muthuswamy, K., Vasanth, K., & Selvakumar, S. (2023) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2023.189001 · Cited by 27
Pathological Impact of Redox Post-Translational Modifications
Chahla, C., Kovacic, H., Ferhat, L., & Leloup, L. (2024) · Antioxidants and Redox Signaling · doi:10.1089/ars.2023.0252 · Cited by 31
Cara, G. D., Marabeti, M. R., Musso, R., Riili, I., Cancemi, P., & Minafra, I. P. (2018) · Cells · doi:10.3390/cells7080089 · Cited by 27
Synthetic Essentiality of Metabolic Regulator PDHK1 in PTEN-Deficient Cells and Cancers
Chatterjee, N., Pazarentzos, E., Mayekar, M. K., Gui, P., Allegakoen, D. V., Hrustanovic, G., Olivas, V. R., Lin, L., Verschueren, E., Johnson, J. R., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.063 · Cited by 26
Fluid Brain Glycolysis: Limits, Speed, Location, Moonlighting, and the Fates of Glycogen and Lactate
Barros, L. F., Martín, A. S., Ruminot, I., Sandoval, P. Y., Baeza‐Lehnert, F., Arce‐Molina, R., Rauseo, D., Contreras‐Baeza, Y., Galaz, A., & Valdivia, S. (2020) · Neurochemical Research · doi:10.1007/s11064-020-03005-2 · Cited by 27
Covalent inhibitors of GAPDH: From unspecific warheads to selective compounds
Galbiati, A., Zana, A., & Conti, P. (2020) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2020.112740 · Cited by 27
Liszka, A., Schimpf, R., Zaruma, K. I. C., Buhr, A., Seidel, T., Walter, S., Knuesting, J., Dreyer, A., Dietz, K., Scheibe, R., et al. (2020) · Biochemical Journal · doi:10.1042/bcj20200240 · Cited by 28
Origin of Cancer: Cell work is the Key to Understanding Cancer Initiation and Progression
Hanselmann, R. G., & Welter, C. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.787995 · Cited by 31
Das, M., Bag, A. K., Saha, S., Ghosh, A., Dey, S. K., Das, P., Mandal, C., Ray, S., Chakrabarti, S., Ray, M., et al. (2016) · BMC Cancer · doi:10.1186/s12885-016-2172-x · Cited by 27
Ramos, D., Pellín-Carcelén, A., Agustí, J., Murgui, A., Jordá, E., Pellı́n, A., & Monteagudo, C. C. (2015) · PubMed · Cited by 27
The Cell Wall of Candida albicans: A Proteomics View
Reyna‐Beltrán, E., Bazán-Méndez, C. I., Iranzo, M., Mormeneo, S., & Luna‐Arias, J. P. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.82348 · Cited by 27
Deiminated proteins and extracellular vesicles - Novel serum biomarkers in whales and orca
Magnadóttir, B., Onganer, P. U., Kraev, I., Svansson, V., Hayes, P. M., & Lange, S. (2020) · Comparative Biochemistry and Physiology Part D Genomics and Proteomics · doi:10.1016/j.cbd.2020.100676 · Cited by 27
The Immunomodulatory Enzyme IDO2 Mediates Autoimmune Arthritis through a Nonenzymatic Mechanism
Merlo, L. M. F., Peng, W., DuHadaway, J. B., Montgomery, J. D., Prendergast, G. C., Muller, A. J., & Mandik‐Nayak, L. (2021) · The Journal of Immunology · doi:10.4049/jimmunol.2100705 · Cited by 26
Characteristics and molecular identification of glyceraldehyde-3-phosphate dehydrogenases in poplar
Wei, H., Movahedi, A., Yang, J., Zhang, Y., Liu, G., Zhu, S., Yu, C., Chen, Y., Zhong, F., & Zhang, J. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.08.001 · Cited by 26
GAPDH: the missing link between glycolysis and mitochondrial oxidative phosphorylation?
Ramzan, R., Weber, P., Linne, U., & Vogt, S. K. (2013) · Biochemical Society Transactions · doi:10.1042/bst20130067 · Cited by 26
Antibody profiling identifies novel antigenic targets in spinal cord injury patients
Palmers, I., Ydens, E., Put, E., Depreitere, B., Bongers-Janssen, H. M. H., Pickkers, P., Hendrix, S., & Somers, V. A. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0713-5 · Cited by 27
Cytoplasmic delivery of functional siRNA using pH-Responsive nanoscale hydrogels
Liechty, W. B., Scheuerle, R. L., Ramirez, J. E. V., & Peppas, N. A. (2019) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2019.03.013 · Cited by 26
Revving the engine: PKB/AKT as a key regulator of cellular glucose metabolism
Li, X., Hu, S., Cai, Y., Liu, X., Luo, J., & Wu, T. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2023.1320964 · Cited by 27
Jaiswal, D. K., Ray, D., Choudhary, M. K., Subba, P., Kumar, A., Verma, J. K., Kumar, R., Datta, A., Chakraborty, S., & Chakraborty, N. (2013) · PROTEOMICS · doi:10.1002/pmic.201300284 · Cited by 25
Lebordais, M., Venel, Z., Gigault, J., Langlois, V. S., & Baudrimont, M. (2021) · Nanomaterials · doi:10.3390/nano11051151 · Cited by 25
Lin, Y. C., Liu, G., Rao, Y., Wang, B., Tian, R., Tan, Y., & Peng, T. (2023) · Journal of Plant Physiology · doi:10.1016/j.jplph.2023.153925 · Cited by 25
Reis, L. R., Souza, D. R., Tomasin, R., Bruni‐Cardoso, A., Mascio, P. D., & Ronsein, G. E. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102784 · Cited by 25
McCarthy, E. T., Zhou, J., Eckert, R., Genochio, D., Sharma, R., Oni, O. A., De, A., Srivastava, T., Sharma, R., Savin, V. J., et al. (2014) · Prostaglandins & Other Lipid Mediators · doi:10.1016/j.prostaglandins.2014.10.006 · Cited by 23
Shao, L., Figtree, G. A., Ma, A., & Ping, Z. (2015) · Toxicology Letters · doi:10.1016/j.toxlet.2015.02.017 · Cited by 25
Shahriary, A., Mehrani, H. A., Ghanei, M., & Parvin, S. (2014) · Journal of Immunotoxicology · doi:10.3109/1547691x.2014.914110 · Cited by 25
Kim, S. Y., Kim, M., Jung, H., Kim, W. K., Kwon, S. O., Son, M. J., Jang, I., Choi, J., Park, S. G., Park, B. C., et al. (2011) · Stem Cells and Development · doi:10.1089/scd.2011.0243 · Cited by 25
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Vidal, R. S., Quarti, J., Rumjanek, F. D., & Rumjanek, V. M. (2018) · Frontiers in Oncology · doi:10.3389/fonc.2018.00090 · Cited by 25
Filipović, D., Perić, I., Costina, V., Stanisavljević, A., Gass, P., & Findeisen, P. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.117790 · Cited by 25
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Aoki, R., & Tanaka, T. (2024) · Cancers · doi:10.3390/cancers16050912 · Cited by 24
Glycolysis regulates Hedgehog signalling via the plasma membrane potential
Spannl, S., Buhl, T., Nellas, I., Zeidan, S. A., Iyer, K. V., Khaliullina, H., Schultz, C., Nadler, A., Dye, N. A., & Eaton, S. (2020) · The EMBO Journal · doi:10.15252/embj.2019101767 · Cited by 23
The CrRLK1L subfamily: One of the keys to versatility in plants
Solís-Miranda, J., & Quinto, C. (2021) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2021.05.028 · Cited by 24
Masood, S. S. M. E., Pennington, E. R., Simmons, S. O., Bromberg, P. A., Shaikh, S. R., Rice, R. L., Gold, A. R., Zhang, Z., & Samet, J. M. (2022) · Redox Biology · doi:10.1016/j.redox.2022.102281 · Cited by 24
Dietary Effect on the Proteome of the Common Octopus (Octopus vulgaris) Paralarvae
Varó, I., Cardenete, G., Hontoria, F., Monroig, Ó., Iglesias, J., Otero, J. J., Almansa, E., & Navarro, J. C. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00309 · Cited by 24
GAPDH binds Akt to facilitate cargo transport in the early secretory pathway
Tisdale, E. J., Talati, N. K., Artalejo, C. R., & Shisheva, A. (2016) · Experimental Cell Research · doi:10.1016/j.yexcr.2016.10.025 · Cited by 24
Kunjithapatham, R., Geschwind, J.-F. H., Devine, L. R., Boronina, T. N., O’Meally, R. N., Cole, R. N., Torbenson, M. S., & Ganapathy‐Kanniappan, S. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00089 · Cited by 23
Molecular Characteristics of Toxicity of Acrolein Produced from Spermine
Kashiwagi, K., & Igarashi, K. (2023) · Biomolecules · doi:10.3390/biom13020298 · Cited by 24
Ranjbar, M., Khakdan, F., Ghorbani, A., Zargar, M., & Chen, M. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-30549-x · Cited by 23
Lazarev, V. F., Benken, K. A., Semenyuk, P. I., Sarantseva, S. V., Bolshakova, O. I., Mikhaylova, E. R., Muronetz, V. I., Guzhova, I. V., & Margulis, B. A. (2015) · FEBS Letters · doi:10.1016/j.febslet.2015.01.018 · Cited by 23
Steadman, C. R., Smoake, J., Solomon, E. R., Villicana, E., Caldwell, K. K., & Allan, A. M. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00200 · Cited by 23
Yao, B., Gao, H., Liu, J., Zhang, M., Leng, X., & Zhao, D. (2019) · Molecular Biology Reports · doi:10.1007/s11033-019-04934-0 · Cited by 23
Tristan, C. A., Ramos, A., Shahani, N., Emiliani, F. E., Nakajima, H., Noeh, C. C., Katō, Y., Takeuchi, T., Noguchi, T., Kadowaki, H., et al. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.596205 · Cited by 22
Self-citationPlant cell microcompartments: a redox-signaling perspective
Zachgo, S., HANKE, G. T., & Scheibe, R. (2012) · Biological Chemistry · doi:10.1515/hsz-2012-0284 · Cited by 23
Rodacka, A., Gerszon, J., Puchała, M., & Bartosz, G. (2016) · Radiation Physics and Chemistry · doi:10.1016/j.radphyschem.2016.05.022 · Cited by 22
Proteomic Characterization of Reversible Thiol Oxidations in Proteomes and Proteins
Boronat, S., Domènech, A., & Hidalgo, E. (2016) · Antioxidants and Redox Signaling · doi:10.1089/ars.2016.6720 · Cited by 21
The evolution of protein moonlighting: adaptive traps and promiscuity in the chaperonins
Fares, M. A. (2014) · Biochemical Society Transactions · doi:10.1042/bst20140225 · Cited by 24
Bora, P., Manna, S., Nair, M. A., Sathe, R. R. M., Singh, S., Adury, V. S. S., Gupta, K., Mukherjee, A., Saini, D. K., Kamat, S. S., et al. (2021) · Chemical Science · doi:10.1039/d1sc03828a · Cited by 21
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Stuehr, D. J., Dai, Y., Biswas, P., Sweeny, E. A., & Ghosh, A. (2022) · Biological Chemistry · doi:10.1515/hsz-2022-0197 · Cited by 20
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Ralser, M., Michel, S., & Breitenbach, M. (2012) · Frontiers in Pharmacology · doi:10.3389/fphar.2012.00032 · Cited by 20
Hou, X., Snarski, P., Higashi, Y., Yoshida, T., Jurkevich, A., Delafontaine, P., & Sukhanov, S. (2017) · The FASEB Journal · doi:10.1096/fj.201601082r · Cited by 21
Jang, S., Jeon, R., Kim, H.-D., Hwang, J.-C., Lee, H., Bae, S., Lee, S., Rho, G., Kim, S.-J., & Lee, W. (2020) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.20.0238 · Cited by 21
AFB1 and OTA Promote Immune Toxicity in Human LymphoBlastic T Cells at Transcriptomic Level
Frangiamone, M., Lozano, M., Cimbalo, A., Font, G., & Manyes, L. (2023) · Foods · doi:10.3390/foods12020259 · Cited by 20
Proteomic alterations induced by ionic liquids in Aspergillus nidulans and Neurospora crassa
Martins, I., Hartmann, D. O., Alves, P. C., Planchon, S., Renaut, J., Leitão, M. C., Rebelo, L. P. N., & Pereira, C. S. (2013) · Journal of Proteomics · doi:10.1016/j.jprot.2013.09.015 · Cited by 20
A Proteomic View at T Cell Costimulation
Lichtenfels, R., Rappl, G., Hombach, A. A., Recktenwald, C. V., Dressler, S. P., Abken, H., & Seliger, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032994 · Cited by 20
Changes in contractile and metabolic parameters of skeletal muscle as rats age from 3 to 12 months
Xu, H., Lamb, G. D., & Murphy, R. M. (2017) · Journal of Muscle Research and Cell Motility · doi:10.1007/s10974-017-9484-6 · Cited by 20
Magnadóttir, B., Onganer, P. U., Kraev, I., Svansson, V., Skírnisson, K., & Lange, S. (2020) · Biochimie · doi:10.1016/j.biochi.2020.02.017 · Cited by 20
Randhawa, J., & Pålsson‐McDermott, E. M. (2025) · Journal of Inflammation · doi:10.1186/s12950-025-00461-x · Cited by 21
Daniel, P., Halada, P., Jelínek, M., Balušíková, K., & Kovár̆, J. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20122986 · Cited by 19
Liu, L., Xiong, N., Zhang, P., Chen, C., Huang, J., Zhang, G., Xu, X., Shen, Y., Lin, Z., & Wang, T. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135425 · Cited by 19
Jia, B., Linh, L. T., Lee, S., Pham, B. P., Liu, J., Pan, H., Zhang, S., & Cheong, G. (2011) · Extremophiles · doi:10.1007/s00792-011-0365-4 · Cited by 19
Escamez, S., Stael, S., Vainonen, J. P., Willems, P. J., Jin, H., Kimura, S., Breusegem, F. V., Gevaert, K., Wrzaczek, M., & Tuominen, H. (2019) · Journal of Experimental Botany · doi:10.1093/jxb/erz021 · Cited by 20
Effect of Nitrosative Stress on the S-Nitroso-Proteome of Paracoccidioides brasiliensis
Navarro, M. V., Chaves, A. F. A., Castilho, D. G., Casula, I., Calado, J. C. P., Conceição, P. M., Iwai, L. K., de Castro, B. F., & Batista, W. L. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01184 · Cited by 18
Suitable reference genes for RT-qPCR analysis in Dichelops melacanthus (Hemiptera: Pentatomidae)
Pinheiro, D. H., Moreira, R. O., Leite, N. A., Redoan, A. C. M., Xavier, A. D. S., Barros, B. D. A., & Carneiro, N. P. (2020) · Molecular Biology Reports · doi:10.1007/s11033-020-05550-z · Cited by 18
Güler, E. M., Kurtulmuş, A., Gül, A. Z., Koçyiğit, A., & Kırpınar, İ. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14711 · Cited by 18
Qu, W., Jeong, A., Zhong, R., Thieschafer, J. S., Gram, A., & Li, L. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-03082-0 · Cited by 19
Itakura, M., Nakajima, H., Semi, Y., Higashida, S., Azuma, Y., & Takeuchi, T. (2015) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2015.09.150 · Cited by 18
Yao, L., Wang, Y., Liu, X., Zhou, Y., Li, N., Liu, J., & Zhu, Y. (2012) · Journal of Cellular Physiology · doi:10.1002/jcp.24053 · Cited by 18
Miao, L., Chen, C., Li, Y., Tran, J., & Zhang, H. (2019) · PeerJ · doi:10.7717/peerj.7934 · Cited by 18
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Metadata
- Authors
- Tristan, C., Shahani, N., Sedlak, T. W., & Sawa, A.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Sawa, Akira
- Venue
- Cellular Signalling
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 23
- Issue
- 2
- Pages
- 317-323
- ISSN
- 0898-6568 (ISSN-L)
- PMC
- PMC3084531
- OpenAlex
- W2139503567
- Cited by
- 663
- References
- 86
- Citations by year
- 2026: 43 · 2025: 49 · 2024: 34 · 2023: 42 · 2022: 47 · 2021: 67 · 2020: 53 · 2019: 37 · 2018: 38 · 2017: 49 · 2016: 40 · 2015: 37 · 2014: 37 · 2013: 37 · 2012: 37
- FWCI
- 2.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cellular Signalling (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- USPHS (MH-084018, MH-069853, MH-085226, MH-088753)
- Stanley
- CHDI
- HighQ
- RUSK
- NARSAD
- NINDS
- S-R
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Redox biology and oxidative stress
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cell death mechanisms and regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Glutathione Transferases and Polymorphisms
- Keywords
- glyceraldehyde-3-phosphate dehydrogenase, nuclear translocation, S-nitrosylation, oxidative stress, post-translational modification, protein oligomerization, Gospels, neurodegenerative diseases, cancer, cell death
- MeSH terms
- Animals, Cell Nucleus, Cytoplasm, Cytoskeleton, Glyceraldehyde-3-Phosphate Dehydrogenases, Humans, Mitochondria, Vesicular Transport Proteins
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