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Protein synthesis-dependent long-term functional plasticity: Methods and techniques

  • Sreedharan Sajikumar
    ,
  • Sheeja Navakkode
    ,
  • Julietta Uta Frey(corresponding author)
*Corresponding author for this work
  • Leibniz Institute for Neurobiology
Scholary Output:
Contribution to journal
Review article
Peer-review

Abstract

There is growing interest in late-LTP and late-LTD, that is, distinct forms of functional plasticity that require somatic functions such as protein synthesis in addition to the transient synaptic processes that are required for short lasting forms. Interestingly, to date only these forms of lasting plastic events could be detected in healthy, freely moving animals and thus, they are considered as physiological cellular models of learning and memory formation. Late-LTP and -LTD are characterized by 'synaptic tagging' or 'capture' and 'synaptic cross-tagging', but there are only a few laboratories that can currently perform experiments studying these properties. In brain slice work, there are many different approaches to investigate these processes using different methodological variations: some allow slices to rest for long periods before the experiment starts, others do not; some run their experiments at near to physiological temperatures, others at lower temperatures; some stimulate frequently, others do not.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 607-613 (7 pages)

Journal (Volume, Issue Number)

Current Opinion in Neurobiology (Volume 15, Issue 5)

Publication milestones

  • Published - 10/2005

Publication status

Published - 10/2005

ISSN

0959-4388

Publication IDs

  • Scopus: 25844448162
  • PubMed: 16150586

Publication metrics

Metrics

SciVal
citations
75
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
0.47
SciVal
Author count
3
SciVal
Paper percentile
92
SciVal
Top percentile
10

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Citation count
85
Captures
135