We describe the use of laser capture microdissection to obtain samples of distinct cell populations from different brain regions for gene and microRNA analysis. This technique allows the study of differential effects of traumatic brain injury in specific regions of the rat brain.
The ability to isolate specific brain regions of interest can be impeded in tissue disassociation techniques that do not preserve their spatial distribution. Such techniques also potentially skew gene expression analysis because the process itself can alter expression patterns in individual cells. Here we describe a laser capture microdissection (LCM) method to selectively collect specific brain regions affected by traumatic brain injury (TBI) by using a modified Nissl (cresyl violet) staining protocol and the guidance of a rat brain atlas. LCM provides access to brain regions in their native positions and the ability to use anatomical landmarks for identification of each specific region. To this end, LCM has been used previously to examine brain region specific gene expression in TBI. This protocol allows examination of TBI-induced alterations in gene and microRNA expression in distinct brain areas within the same animal. The principles of this protocol can be amended and applied to a wide range of studies examining genomic expression in other disease and/or animal models.
The mammalian brain is remarkably complex and heterogeneous with hundreds to thousands of cell types1. Indeed, human studies have shown that in regions such as the frontal cortex, structural and functional differences in white and grey matter are reflected in distinct and divergent transcriptional profiles2. Brain heterogeneity has been a major obstacle to interpret gene expression data and in the field of brain injury. This ambiguity in preclinical studies has subsequently led to hundreds of failed clinical trials of treatments for brain injury3.
We use laser capture microdissection (LCM) methods to study traumatic brain injury (TBI)-induced gene dysregulation in the rat brain4, focusing on the hippocampus, a brain region that is essential for learning and memory5. The ability to laser capture and analyze gene expression in both dying and surviving neurons gives us a greater understanding of the role of stochasticity in gene expression in determining the outcome (neuronal survival) after TBI6. LCM techniques have also proven useful for exploring the effects of TBI on hippocampal neurons when comparing young and aging mice7 or rats8.
In recent studies, we examined other regions of the rat brain adversely impacted by TBI, with a focus on areas in rats and in human TBI patients that are associated with executive function (i.e. frontal cortex9) and TBI comorbidities; these comorbidities include depression (i.e. nucleus accumbens10) and circadian rhythm disorders (suprachiasmatic nucleus11). In previous studies, Huusko and Pitkanen12 and Drexel et al.13 used LCM to examine gene expression in the thalamus and hypothalamus. Our study builds upon these prior observations and includes four other brain regions. To study the region-specific molecular changes induced after TBI, it was necessary to gain expertise in identifying and obtaining cell types in these regions using an LCM system. The UV-cutting and infrared (IR) lasers allow for precise microdissection of desired brain regions. Here, we describe how we use this LCM system, guided by stereotaxic coordinates in the rat brain atlas14, to identify and laser capture four rat brain regions that are differentially affected by the experimental fluid-percussion brain injury method4.
NOTE: All animal experiments are approved by the Institutional Animal Care and Use Committee of the University of Texas Medical Branch, Galveston, Texas as directed by the National Institutes of Health Guide for the Care and Use of Laboratory Animals (8th Edition, National Research Council).
1. Tissue Collection, Region Identification, and Sectioning
2. Staining Protocol
3. Stereotactic Atlas Guided Laser Capture Microdissection with the LCM System
The schematic presented in Figure 1 illustrates the overall workflow of atlas guided LCM of specific brain regions and potential downstream analysis applications. This study focused on four brain regions relevant to TBI pathophysiology and to the development of comorbidities: FrA, AcbC, SCN, and Hp. A limitation present in LCM of specific brain regions is that anatomical locations are often obscured by a lack of defined boundaries, as can be seen in Figure 2 (A, D, G, J). The use of a brain atlas to guide sectioning and laser capture of specific regions reduces the possibility of sample contamination with brain regions other than the target. When care is taken to follow tissue landmarks, both during sectioning and after Nissl-staining, LCM technology can provide a highly consistent means of acquiring discrete populations of cells, nuclei, or regions15. The long-term goals of these studies are to identify genes and microRNAs that can potentially serve as surrogate, non-invasive biomarkers of brain region specific injury. The first step in this biomarker development pipeline is the characterization of tissue-specific transcriptional changes after experimental TBI. These data can then be correlated with injury-induced changes in circulating biofluids.
The presented procedures were optimized to mitigate risk of RNA degradation in order to allow RNA analysis via reverse transcription of total LCM RNA before quantitative real-time PCR (RT-qPCR). Total RNA (including small and large RNA species) was isolated using a column-based isolation method on tissue that was laser-captured from individual brain regions. To assess RNA integrity, quality, and quantity after isolation procedures, RNA samples were briefly denatured at 70 °C and run on an RNA analyzer. Qualitative measurements included analyzing peak amplitudes of the 18s and 28s rRNA bands (Figure 3), which can be representative of overall degradation, and using the "RNA Integrity Number" (RIN). If using careful RNase-free techniques, RNA isolated from LCM samples typically results in RINs that range from 6-8. A lower RIN can imply poor RNA quality and can potentially decrease the accuracy of gene and microRNA expression analysis. Conversely, a higher RIN can improve confidence in the validity of results generated from RNA analysis.
RT-qPCR was performed using primer/probe sets for individual genes and microRNAs (Figure 4). Approximately 1 ng of total RNA was reverse-transcribed into cDNA and pre-amplified before qPCR was performed according to manufacturer's protocol. Injury-related genes assessed in this study included BCL2 Associated X, Apoptosis Regulator (Bax), B-Cell CLL/Lymphoma 2 (Bcl-2), Caspase 3, Apoptosis-Related Cysteine Peptidase (Casp3), Brain Derived Neurotrophic Factor (Bdnf), and CAMP Responsive Element Binding Protein 1 (Creb). MiR-15b was selected because it has been shown to be altered after experimental TBI in individual dying neurons. It also has experimentally validated and bioinformatically predicted gene targets with pro-survival functions (unpublished data). Normalized fold-change ratios were calculated by ΔΔCt method comparing gene and microRNA expression levels in TBI animals and naïve controls, with normalization to an endogenous gene (Gapdh) or small RNA (U6), respectively. A fold-change above 1 indicates an overall upregulation in that gene or microRNA, and conversely, a fold change lower than 1 indicates a downregulation. Statistical analysis showed significant changes in gene expression between TBI and naïve control (p ≤ 0.05) that were brain region dependent. No significant changes in miR-15b expression were detected between TBI and naïve control, but there were trends towards higher and lower expression in a brain region dependent fashion. These data suggest that further optimization is necessary to assess changes in microRNA expression. It is also possible the sample size was too small to gain statistical significance, in part due to inherent variability in expression. Future studies will include sham-operated animals to ensure that gene and microRNA expression changes are attributed to TBI and not due to the surgical preparation.
Figure 1. Workflow of Atlas-guided LCM for Downstream Genomic Analysis. (A-F) Procedures from animal preparation to downstream qPCR analysis: (A) Adult, male Sprague Dawley rats (~6 weeks of age and weighing 300 g) are anesthetized, subjected to fluid percussion TBI, and humanely euthanized 24 h after injury. (B) Serial sections (30 µm) of fresh frozen brains are based on coordinates of specific brain regions (FrA, AcbC, Hp, SCN) from Paxinos and Watson's The Rat Brain atlas. (C) Sections are fixed, Nissl-stained (1% Cresyl Violet), dehydrated, and air dried. (D). LCM performed on identified brain regions with an LCM System. (E) LCM Macro Caps transferred onto an RNase-free 0.5 mL tube with 100 μL of cell lysis buffer and stored at -80 ºC until RNA isolation for downstream genomic analysis. RNA can then be reverse-transcribed for gene or microRNA RT-qPCR analysis to examine differential expression of molecular target(s) after TBI and/or between brain regions of interest (F). Please click here to view a larger version of this figure.
Figure 2. LCM of TBI Affected Brain Regions. Representative images of tissue sections collected from the ipsilateral side of injury site with IR and UV laser functions on the LCM system (A-I). Tissue was sectioned on a cryostat (30 µm) and collected on PEN membrane slides. Sections were then fixed, Nissl-stained with cresyl violet (1%), and dehydrated to identify specific brain regions based on anatomical landmarks referenced in Paxinos and Watson's The Rat Brain Atlas. (A-C) An area of the frontal association cortex (FrA) (D-F) Components of the CA1, CA2, and CA3 pyramidal layers of the hippocampus (Hp) located next to the fully formed horns of the granule layer of the dentate gyrus (GrDG). (G-I) An area of the nucleus accumbens core (AcbC) proximal and rostral to the anterior commissure (aca). (J-K) Suprachiasmatic nucleus (SCN) rostral to the supraoptic chiasm (och). Please click here to view a larger version of this figure.
Figure 3. Representative Scans of RNA Quality. Representative electropherograms and associated gel images of RNA derived from LCM collected tissue (A-D). Electropherograms and associated gel images show intact RNA based on appearance of 18s and 28s rRNA peaks and gel bands. This RNA is suitable for all downstream applications, including genomic and proteomic analyses. (A) Frontal association cortex (FrA) RNA. RIN 6.1. (B) Hippocampus (Hp) RNA. RIN 4.4. (C) Nucleus accumbens core (AcbC) RNA. RIN 7.3. (D) Suprachiasmatic nucleus (SCN) RNA. RIN 7.6. Please click here to view a larger version of this figure.
Figure 4. Downstream Analysis of Brain Region-specific Gene and MicroRNA Expression via RT-qPCR. Individual RT-qPCR for genes of interest (Bax, Bcl-2, Bdnf, Casp3, Creb) and microRNA of interest (miR-15b) was performed on laser captured brain regions after TBI (Hp and AcbC n= 5, FrA n= 4) and compared to uninjured naïve animals (n= 4). Analysis of genes related to TBI pathogenesis was performed for Hp, AcbC, FCx. Data is presented as normalized fold change ratios compared to naïve control brain regions (Unpaired t test with Welch's Correction ± SEM; * p ≤ 0.05) (A). Differential expression of miR-15b in different brain regions is presented as normalized fold changes compared to naïve control (± SEM) (B). Data from SCN (n=2) not included. Please click here to view a larger version of this figure.
For molecular studies of the mammalian brain, LCM has become an essential technique. This article demonstrates that using the combination of the IR and UV cutting lasers in the LCM system can capture genomic changes in any region of the mammalian brain. These regions include those identifiable with conventional LCM-compatible stains, such as cresyl violet or hematoxylin and eosin. The speed of the laser-capture process and ability to perform LCM on thicker 30 µm sections on PEN membrane slides allows to not only obtain sufficient quantities of cell samples, but also to isolate RNA from LCM samples of a suitable quality for all types of downstream genomic analysis; these analyses include microarrays16, PCR arrays17, and quantitative real-time PCR18.
Our data provide a rationale for studies which utilize LCM tissue. We find that miR-15b is upregulated in the hippocampus and cortex (Figure 4) but downregulated in the nucleus accumbens and may be biologically relevant to the understanding of differential effects of TBI in the brain. A previous study suggested that increases in cortical neuronal vulnerability to injury result from overexpression of several miRNAs that negatively regulate pro-survival genes, such as Bcl-219. Target scan analysis shows Bcl-2 is also regulated by miR-15b; thus, our data suggest a mechanistic explanation for why specific regions of the brain (i.e., FCx) may be selectively vulnerable to TBI. It is important to remember most genes are regulated by multiple miRNAs and correlating changes in any one miRNA to a specific target gene is difficult. Moreover, these data indicate that certain changes in gene and microRNA expression may be used as biomarkers of region-specific brain damage. Indeed, we are currently using these data in studies of how new neuroprotective drug compounds with antidepressant properties can differentially affect gene and microRNA expression in brain regions linked to neuropsychiatric disorders. One limitation of our study is that during the multiple steps of slide preparation processes for LCM, RNA integrity may become compromised. This protocol describes the necessary steps to mitigate the risk of RNA degradation. Another limitation is the relatively small sample size used for statistical calculation. In future studies, increasing sample size should lessen the effects of gene and miRNA expression variations among individual animals.
The benefit of LCM is realized in translational genomic studies using animal models of human disease and diseased tissues20,21,22,23. Without the ability to capture specific cell populations, the transcriptional profiles of different brain regions would be an unknowable and undecipherable mix of many cell types. Using LCM methods in brain injury studies has led to current efforts to delineate brain region specific biomarkers and to understand how they correlate with circulating biomarkers of TBI.
The authors have nothing to disclose.
We would like to acknowledge Elizabeth Sumner for her help editing this manuscript. Funding for this project was provided in part by The Moody Project for Translational Traumatic Brain Injury Research and RO1NS052532 to HLH.
Arcturus Laser Capture Microdissection System | Applied Biosystems (Life Technologies) | ||
Agilent 2100 Bioanalyzer | Agilent Technologies | G2939AA | |
Agilent 6000 Pico Kit | Agilent Technologies | 5067-1513 | |
Arcturus PEN Membrane Glass Slides | Applied Biosystems (Life Technologies) | LCM0522 | |
Capsure LCM caps | Applied Biosystems (Life Technologies) | LCM0211/LCM0214 | |
Cresyl Violet Acetate | Sigma-Aldrich | C5042-10G | |
Xylene (Histological grade) | Fisher Scientific | X3P-1GAL | |
Ethanol 200 proof (Histological grade) | UTMB Pharmacy | ||
RNAqueous Micro- Kit | Life Technologies (Ambion) | AM1931 | |
Taqman Gene Expression Primer/Probes | Applied Biosystems (Life Technologies) | 4331182 | |
Taqman microRNA Expression Primer/Probes | Applied Biosystems (Life Technologies) | A25576 | |
Lightcycler 96 System | Roche |