Dataset Information

Detection of Activated Mouse Neurons with Temporal Resolution via Dual c-Fos Staining.

ABSTRACT: This protocol combines fluorescent in situ hybridization and immunostaining to simultaneously detect, in histological sections from the same animal, subpopulations of neurons activated after two episodes of sensory stimulation. It allows the identification of groups of cells singly activated by either stimulus or co-activated by both stimuli. Our method results in nuclear staining for c-Fos mRNA and c-Fos protein, allowing better spatial and temporal resolution than previously published protocols, although it requires quick brain fixation. For complete details on the use and execution of this protocol, please refer to Carvalho et al. (2015, 2020).

SUBMITTER: Nakahara TS

PROVIDER: S-EPMC7757322 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Detection of Activated Mouse Neurons with Temporal Resolution via Dual c-Fos Staining.

Nakahara Thiago Seike TS Carvalho Vinicius Miessler de Andrade VMA Souza Mateus Augusto de Andrade MAA Trintinalia Guilherme Ziegler GZ Papes Fabio F

STAR protocols 20201029 3

This protocol combines fluorescent <i>in situ</i> hybridization and immunostaining to simultaneously detect, in histological sections from the same animal, subpopulations of neurons activated after two episodes of sensory stimulation. It allows the identification of groups of cells singly activated by either stimulus or co-activated by both stimuli. Our method results in nuclear staining for <i>c-Fos</i> mRNA and c-Fos protein, allowing better spatial and temporal resolution than previously publ ...[more]

PMID: 33377047

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Project description:BackgroundThe characteristic structure of motor neurons (MNs), particularly of the long axons, becomes damaged in the early stages of amyotrophic lateral sclerosis (ALS). However, the molecular pathophysiology of axonal degeneration remains to be fully elucidated.MethodTwo sets of isogenic human-induced pluripotent stem cell (hiPSCs)-derived MNs possessing the single amino acid difference (p.H517D) in the fused in sarcoma (FUS) were constructed. By combining MN reporter lentivirus, MN specific phenotype was analyzed. Moreover, RNA profiling of isolated axons were conducted by applying the microfluidic devices that enable axon bundles to be produced for omics analysis. The relationship between the target gene, which was identified as a pathological candidate in ALS with RNA-sequencing, and the MN phenotype was confirmed by intervention with si-RNA or overexpression to hiPSCs-derived MNs and even in vivo. The commonality was further confirmed with other ALS-causative mutant hiPSCs-derived MNs and human pathology.FindingsWe identified aberrant increasing of axon branchings in FUS-mutant hiPSCs-derived MN axons compared with isogenic controls as a novel phenotype. We identified increased level of Fos-B mRNA, the binding target of FUS, in FUS-mutant MNs. While Fos-B reduction using si-RNA or an inhibitor ameliorated the observed aberrant axon branching, Fos-B overexpression resulted in aberrant axon branching even in vivo. The commonality of those phenotypes was further confirmed with other ALS causative mutation than FUS.InterpretationAnalyzing the axonal fraction of hiPSC-derived MNs using microfluidic devices revealed that Fos-B is a key regulator of FUS-mutant axon branching. FUND: Japan Agency for Medical Research and development; Japanese Ministry of Education, Culture, Sports, Science and Technology Clinical Research, Innovation and Education Center, Tohoku University Hospital; Japan Intractable Diseases (Nanbyo) Research Foundation; the Kanae Foundation for the Promotion of Medical Science; and "Inochi-no-Iro" ALS research grant.

Project description:ObjectivesLate contrast enhancement CT (LCE-CT) visualizes the presence of myocardial infarcts. Differentiation of the contrast-enhanced infarct from blood pool is challenging. We developed a novel method using data from first pass CT angiography (CTA) imaging to enable automatic infarct detection.Materials and methodsA canine model of myocardial infarction was produced in 11 animals. Two months later, first pass CTA (90 kVp) and LCE-CT (dual energy 90 kVp/150 kVp tin filtered) were performed. Late gadolinium enhancement MRI was used as reference standard. The CTA and LCE-CT were co-registered using a fully automatic non-rigid method based on curved B-splines. The method allowed for limited elastic deformation and the considerable differences in attenuation between first-pass and delayed image. The blood pool was easily identified on the CTA image by high attenuation. Because CTA and LCE-CT were registered, the blood pool segmentation can be directly transferred to the LCE-CT - thereby solving the key problem of infarct/blood pool differentiation. The remaining segmentation of infarcted vs. noninfarcted myocardium was performed using a threshold. Automatic and MRI-guided expert segmentations of LCE-CT infarcts were compared to each other on volume and area basis (intraclass correlation coefficient, ICC) and on voxel basis (dice similarity coefficient, DSC between automatic and expert CT segmentation). CT infarct volumes were compared with the reference standard MRI.ResultsThe infarcts were mainly subendocardial (81%) and relatively small (median MRI infarct mass 7.4 g). The automatic segmentation showed excellent agreement with expert segmentation on volume and area measurements (ICC = 0.96 and 0.87, respectively). DSC showed moderately good agreement (DSC = 0.47). Compared to MRI there was modest agreement (ICC = 0.62) and excellent correlation (R = 0.9). Manual interaction was less than 1 min per exam.ConclusionWe propose an automatic method for infarct segmentation on LCE-CT using multiphase CT information, which showed excellent agreement with expert readers and favorable correlation with MRI.

Dataset Information

Detection of Activated Mouse Neurons with Temporal Resolution via Dual c-Fos Staining.

Publications

Detection of Activated Mouse Neurons with Temporal Resolution via Dual c-Fos Staining.

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