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.