4.5 Review

Screening the Molecular Framework Underlying Local Dendritic mRNA Translation

Journal

FRONTIERS IN MOLECULAR NEUROSCIENCE
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnmol.2017.00045

Keywords

mRNA; dendrites; translation; RNA sequencing; mass spectrometry; Kaede; synaptic tagging and capture hypothesis; synaptic plasticity

Categories

Funding

  1. NSF [IOS-1355158]
  2. NIH-NIAAA pilot grant
  3. Integrated Neuroscience Initiative on Alcoholism
  4. Department of Defense USAMRMC Award [W81XWH-14-10061]
  5. NIH-NIA pilot grant
  6. Wake Forest University Health Sciences Alzheimer's Disease Core Center [P30AG049638]
  7. NIH-NIDA pilot grant
  8. Wake Forest Health Sciences Center for the Neurobiology of Addiction Treatment (CNAT) [P50DA06634]
  9. Direct For Biological Sciences
  10. Division Of Integrative Organismal Systems [1724812] Funding Source: National Science Foundation

Ask authors/readers for more resources

In the last decade, bioinformatic analyses of high-throughput proteomics and transcriptomics data have enabled researchers to gain insight into the molecular networks that may underlie lasting changes in synaptic efficacy. Development and utilization of these techniques have advanced the field of learning and memory significantly. It is now possible to move from the study of activity-dependent changes of a single protein to modeling entire network changes that require local protein synthesis. This data revolution has necessitated the development of alternative computational and statistical techniques to analyze and understand the patterns contained within. Thus, the focus of this review is to provide a synopsis of the journey and evolution toward big data techniques to address still unanswered questions regarding how synapses are modified to strengthen neuronal circuits. We first review the seminal studies that demonstrated the pivotal role played by local mRNA translation as the mechanism underlying the enhancement of enduring synaptic activity. In the interest of those who are new to the field, we provide a brief overview of molecular biology and biochemical techniques utilized for sample preparation to identify locally translated proteins using RNA sequencing and proteomics, as well as the computational approaches used to analyze these data. While many mRNAs have been identified, few have been shown to be locally synthesized. To this end, we review techniques currently being utilized to visualize new protein synthesis, a task that has proven to be the most difficult aspect of the field. Finally, we provide examples of future applications to test the physiological relevance of locally synthesized proteins identified by big data approaches.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available