The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Protein–protein interactions define specificity in signal transduction
Open accessAbstract
Virtually every aspect of cellular function within a metazoan organism, including proliferative status, metabolism, gene expression, cytoskeletal organization, and indeed the cell’s very survival, is dependent on external signaling molecules, either in the form of soluble hormones or proteins anchored to the surface of an adjacent cell or the extracellular matrix (ECM). These factors exert their effects either by binding receptors displayed on the surface of the cell or, in the case of compounds such as steroids, by traversing the plasma membrane and directly engaging intracellular receptors. In addition, these external signals can be linked to intrinsic cues that regulate events such as polarity and asymmetric cell division, and that monitor the molecular composition of the cell, and therefore determine whether suitable conditions prevail for cell growth and division. Over the last two decades, we have achieved considerable understanding of the mechanisms by which signals are conveyed from receptors at the plasma membrane to their targets in the cytoplasm and nucleus. At heart, this is a problem of molecular recognition. Hormones must bind selectively to their receptors and these in turn must interact with specific cytoplasmic targets. To understand signal transduction in a general sense, it is important to know whether different biochemical pathways use related molecular devices to control cellular behavior. To understand specificity in signaling, we need to know how receptors interact with particular targets and how the proteins of one pathway can be insulated from related signaling components. At the same time, it is important to learn how distinct signaling pathways communicate with one another, since the entire cell must ultimately function as a single unit whose different elements respond in an organized fashion to external signals. A cell in the body will be exposed to many different stimuli, which it must integrate into a coherent response. Furthermore, although a rather large fraction of genes within nucleated cells appear to function in the processes of signal transduction and cellular organization (Plowman et al. 1999), it is still remarkable that only a few thousand gene products can control the sophisticated behaviors of many different cell types. This immediately suggests that signaling proteins must act in a combinatorial fashion, since there are insufficient proteins for each to have a single biological role. For example, there are billions of neurons in the human brain, each of which must project its axon to the appropriate target, let alone undertake the complex biochemical events associated with neurotransmission and synaptic plasticity. Clearly, the signaling molecules that function in the process of axon guidance must act in a combinatorial way to generate the extreme complexity of the human nervous system. Here we will address some of the underlying biochemical mechanisms through which specificity is generated during signal transduction, and pursue the means by which signaling molecules may act in combination to generate complex biological responses.
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Cites
Death Receptors: Signaling and Modulation
Ashkenazi, A., & Dixit, V. M. (1998) · Science · doi:10.1126/science.281.5381.1305 · Cited by 5,866
Functional interaction of β-catenin with the transcription factor LEF-1
Behrens, J., von Kries, J. P., Kühl, M., Bruhn, L., Wedlich, D., Grosschedl, R., & Birchmeier, W. (1996) · Nature · doi:10.1038/382638a0 · Cited by 2,912
Protein modules and signalling networks
Pawson, T. (1995) · Nature · doi:10.1038/373573a0 · Cited by 2,420
Self-citationRecognition of Unique Carboxyl-Terminal Motifs by Distinct PDZ Domains
Songyang, Z., Fanning, A. S., Fu, C., Xu, J., Marfatia, S. M., Chishti, A. H., Crompton, A., Chan, A. C., Anderson, J. M., & Cantley, L. C. (1997) · Science · doi:10.1126/science.275.5296.73 · Cited by 1,385
A conserved docking motif in MAP kinases common to substrates, activators and regulators
Tanoue, T., Adachi, M., Moriguchi, T., & Nishida, E. (2000) · Nature Cell Biology · doi:10.1038/35000065 · Cited by 816
Boutros, M., Paricio, N., Strutt, D. I., & Mlodzik, M. (1998) · Cell · doi:10.1016/s0092-8674(00)81226-x · Cited by 801
Radhakrishnan, I., Pérez-Alvarado, G. C., Parker, D., Dyson, H. J., Montminy, M. R., & Wright, P. E. (1997) · Cell · doi:10.1016/s0092-8674(00)80463-8 · Cited by 728
Jacobs, D., Glossip, D., Xing, H., Muslin, A. J., & Kornfeld, K. (1999) · Genes & Development · doi:10.1101/gad.13.2.163 · Cited by 439
Interaction of a mitogen-activated protein kinase signaling module with the neuronal protein JIP3
Kelkar, N., Gupta, S., Dickens, M., & Davis, R. J. (2000) · Molecular and Cellular Biology · doi:10.1128/mcb.20.3.1030-1043.2000 · Cited by 281 · cited 1×
“In particular, several proteins have been identified that bind members of the Jnk MAPK pathway and potentiate Jnk activation (Yasuda et al. 1999; Kelkar et al. 2000).”
BackgroundA MAP kinase docking site is required for phosphorylation and activation of p90rsk/MAPKAP kinase-1
Gavin, A.-C., & Nebreda, A. R. (1999) · Current Biology · doi:10.1016/s0960-9822(99)80120-1 · Cited by 158
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Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
Klionsky, D. J., Abdelmohsen, K., Abe, A., Abedin, M. J., Abeliovich, H., Acevedo Arozena, A., Adachi, H., Adams, C. M., Adams, P. D., Adeli, K., et al. (2016) · Autophagy · doi:10.1080/15548627.2015.1100356 · Cited by 5,894
Neurotrophins: Roles in Neuronal Development and Function
Huang, E. J., & Reichardt, L. F. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.677 · Cited by 4,394
Blume-Jensen, P., & Hunter, T. (2001) · Nature · doi:10.1038/35077225 · Cited by 3,738
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., et al. (2021) · Autophagy · doi:10.1080/15548627.2020.1797280 · Cited by 2,897
Metadata
- Authors
- Pawson, T., & Nash, P.
- Venue
- Genes & Development
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2000-05-01
- Volume
- 14
- Issue
- 9
- Pages
- 1027-1047
- ISSN
- 0890-9369 (ISSN-L)
- 1549-5477
- OpenAlex
- W2110845720
- Cited by
- 780
- References
- 11
- Type
- posted content
- Language
- en
- Open access
- diamond
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