Elsevier

Brain Research

Volume 1271, 19 May 2009, Pages 1-17
Brain Research

Research Report
Refined anatomical isolation of functional sleep circuits exhibits distinctive regional and circadian gene transcriptional profiles

https://doi.org/10.1016/j.brainres.2009.02.083Get rights and content

Abstract

Powerful new approaches to study molecular variation in distinct neuronal populations have recently been developed enabling a more precise investigation of the control of neural circuits involved in complex behaviors such as wake and sleep. We applied laser capture microdissection (LCM) to isolate precise brain nuclei from rat CNS at opposing circadian time points associated with wake and sleep. Discrete anatomical and temporal analysis was performed to examine the extent of variation in the transcriptional control associated with both identifiable anatomical nuclei and with light/dark cycle. Precise isolation of specific brain nuclei regulating sleep and arousal, including the LC, SCN, TMN, VTA, and VLPO, demonstrated robust changes in gene expression. Many of these differences were not observed in previous studies where whole brain lysates or gross dissections were used to probe for changes in gene expression. The robust and differential profiles of genomic data obtained from the approaches used herein underscore the requirement for careful anatomical refinement in CNS gene expression studies designed to understand genomic control within behaviorally-linked, but functionally isolated brain nuclei.

Introduction

Sleep and wake behavioral arousal states are established through very disparate levels of neuronal activity among functionally interconnected and well-characterized brain nuclei (Saper et al., 2005). A major challenge for understanding genetic control points that could shape complex sleep and wake behavior arises from the hierarchical interaction of behaviorally-related brain nuclei within complex neural networks modulated by unique molecular divergence within each nucleus to modulate the overall behavior. This complexity presents challenges for many of the technologies typically utilized to unravel these neural networks, including microarray-based mRNA profiling, which typically requires several micrograms of RNA, and thus relatively large brain tissue samples for analysis. To overcome this requirement experimentally, more tissue, and thus more anatomically and functionally diverse tissues are often utilized (Stansberg et al., 2007). Under this condition, though the anatomically localized fold-changes in mRNA expression may be large (several fold), no change or minor fold-changes (<Ā 2-fold) are traditionally detected by microarray profiling of whole brain regions, such as hypothalamus (Letwin et al., 2006, Pavlidis and Noble, 2001). This difficulty is a wide-spread concern when profiling brain tissue, given the extensive functional and cellular heterogeneity throughout the brain.

Here we describe results of transcriptional profiling obtained through the application of laser capture microscopy (LCM) combined with ultra low input (1Ā ng) RNA amplification (ULI), which overcomes the difficulties of profiling brain tissue by allowing mRNA profiling of individual brain nuclei and cell populations. We report the light/dark cycle transcriptional variation of 5 different components of a neuronal circuit that controls aspects of sleep and wakefulness, namely the locus coeruleus (LC), suprachiasmatic nucleus (SCN), tuberomammillary nucleus (TMN), ventrolateral preoptic nucleus (VLPO) and the ventral tegmental area (VTA). These studies demonstrate both the specificity and sensitivity of this approach for differentiating brain nuclei according to their mRNA profiles and show that transcriptional changes are associated with physiological activities relevant to the light/dark cycle. Importantly, the characterization of regional and light/dark-responsive signature genes in this study reveals previously unrecognized genomic regulation within these discrete brain nuclei. The substantial gene expression changes detected in each discrete nucleus highlight the complexity of transcriptional regulation in the network of components governing the sleepā€“wake system and underscore the need for more refined efforts when addressing functional-anatomical circuit oriented gene profiling studies.

Section snippets

Isolation, amplification and profiling of RNA from specific nuclei involved in sleep

Laser capture microdissection was used to isolate LC, SCN, TMN, VLPO and VTA (Fig. 1A) from rats sacrificed during the light period (7Ā h after lights-on, referred to as ZT-7) and during the dark period (7Ā h after lights-off, referred to as ZT-19). These times correspond with the middle of normal inactive phase (ZT-7) and mid active phase (ZT-19) of the rat. Regions were identified based on standard anatomical landmarks and stereotaxic coordinates (see Supplemental Table 3) (Paxinos and Watson,

Discussion

Analysis of transcriptional changes within gross brain regions has substantially increased the understanding of key factors governing sleep, circadian signaling and regional differences including recent investigations of CNS gene expression in normal and sleep deprived models (Cirelli and Tononi, 1999, Cirelli and Tononi, 2000, Cirelli et al., 2004, Fukuhara and Tosini, 2008, Greco et al., 1999, Kilduff et al., 2008, Mackiewicz et al., 2008, Tafti and Franken, 2007, Terao et al., 2003a, Terao

Animals

All experimental animals were housed and handled according to the Federal Animal Welfare guidelines and all studies were approved in advance by the Animal Care and Use Committee at Merck & Co., Inc. Male Sprague Dawley rats at 8Ā weeks of age were individually housed in 12:12 light:dark conditions with water and food available ad libitum prior to sacrifice by conscious decapitation at ZT-7 and ZT-19 time points to correspond with the middle of the inactive and active phases (nĀ =Ā 4 per time point).

Acknowledgments

We gratefully acknowledge Eva Finney, David Levine, Duane Reiss, James Rhydderch, and Christopher Roberts for their contributions to this work.

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