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Cx9000

Manufactured by MBF Biosciences
Sourced in United States, Germany

The CX9000 is a high-performance laboratory centrifuge designed for a wide range of applications. It features a durable and reliable construction, with a maximum speed of 9,000 rpm and a maximum relative centrifugal force (RCF) of 12,100 x g. The CX9000 can accommodate various rotor types, enabling efficient sample processing and separation.

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9 protocols using cx9000

1

Neurite Reconstruction Using Digital Imaging

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Neurons with consistently intense staining of neurites and no obvious truncation of processes were reconstructed using live digital images acquired by a digital camera (CX9000, MBF Bioscience) mounted on a microscope (Eclipse 80i, Nikon, Ratingen, Germany) with a ×63 oil immersion objective (NA = 1.4) and connected to a computer running Neurolucida (MBF Bioscience). Dendritic processes were distinguished from axonal structures by their diameter, fine structure, and branching pattern (see Supplementary Fig. 2 for details).
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2

Quantitative Analysis of c-Fos Expression

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High-resolution microphotographs (digital resolution of 132 pixel/100 μm2) were taken at 10× magnification under a Leica DMRX microscope with an MBF camera (MBF Bioscience CX9000; Williston, VT, USA) to prepare whole-section digital mosaics using the Neurolucida software (NL-Vs 8.0, MicroBrightField®, Inc., Williston, VT, USA). To set homogeneous microscopic illumination conditions and to calibrate optical density (OD) measurements, photographs were taken using a standardized grayscale range and a stepped density filter (11 levels; ®EO Edmund industrial optics-ref 32599, Karlsruhe, Germany).
For morphometrical analysis, immunoreactive neurons were segmented by density thresholding using ImageJ software and the Maximum Entropy plug-in. Thus, the values of coordinates, area, and optical density of the segmented cells were collected to perform statistical analysis and to build the c-Fos activation maps (MATLAB). Normalized OD values of immunoreactive cells were calculated by subtracting the mean OD of the whole section from the OD values of segmented particles, divided by the gray standard deviation of the whole slice. The number of segmented cells was normalized to N/10,000 μm2 of surface area.
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3

BrdU+ Cell Quantification in MeA

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Quantification of the number of BrdU+ cells across the four MeA subregions was performed using Neurolucida software (MBF Bioscience, RRID:SCR_001775) on a computer interfaced with a Nikon Eclipse E600 microscope and MBF Bioscience CX9000 camera. Contours outlining the boundaries of each subregion were drawn at 4x magnification, and the area of each subregion was recorded. Sections from three alternate series were used to quantify the total number of BrdU+ cells and the number colocalized with either GFAP, NeuN or Iba1. Cells in each subregion were counted at 20x magnification across both hemispheres of the MeA. Additionally, the total number of GFAP+ cells was quantified only in the MePD. The data were normalized to the area of the subregion to account for any volumetric differences in the subregions between the sexes and averaged across hemispheres to generate a density estimate. In all cases, BrdU+ cells were counted if the nuclear staining was uniformly dark and present within the boundaries of the designated subregion. BrdU+ cells were counted as colocalized if a well-defined BrdU+ nucleus was associated with an immunopositive (i.e., GFAP+, NeuN+, Iba1+) cell body. For a subset of samples, colocalization criteria was confirmed by confocal microscopy.
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4

Hippocampal SV2A Immunohistochemistry and Synapse Analysis

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Six randomly chosen sections representing the whole hippocampus were used to analyze SV2A immunohistochemistry. Images of these sections were obtained using an Olympus® BX51 (Tokyo, Japan) microscope with an x4 objective connected to a digital video camera (MBF Bioscience, CX9000; Williston, ND, USA). SV2A optical density (OD) was evaluated, after calibration and background subtraction, using ImageJ v1.43 (Bethesda, MD, USA). We analyzed nine layers in the dorsal hippocampus: the molecular layer (Mol), granular layer (Gr), hilus, stratum radiatum (Rad) of CA3 and CA1, pyramidal layers (Pyr) of CA3 and CA1, as well as stratum oriens of CA3 and CA1.
For immunofluorescence analysis, 3 slices were chosen at random and 3 photographs were obtained for each layer. The images were captured with a x63/1.40 Oil DIC M27 objective of a confocal microscope (Carl Zeiss, LSM 800 with Airyscan; Stuttgart, Germany). They were analyzed with Fiji (1.52p, Bethesda, MD, USA) and the synapse counter plugin. SV2A, VGAT, and VGLUT positive puncta were counted, expressed as puncta number per area (50.7 × 50.7 μm). The spatial overlap (henceforth termed as co-localization or co-expression) among SV2A-VGAT or SV2A-VGLUT was detected and quantified (Figure 2).
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5

Fos Immunohistochemistry in Brain Sections

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Brains were sectioned at 40 μm using a cryostat, and subjected to immunohistochemistry for Fos as described previously [14 (link)]. Sections were incubated with a rabbit primary antiserum raised against the Fos protein (1:1000, sc-52, Santa Cruz Biotechnology, Inc., CA, USA) and processed with avidin-biotin-immunoperoxidase technique using DAB enhanced with 4% nickel sulfate as the chromogen. Thereafter, sections were mounted on slides, dehydrated with alcohol rinses, cleared with xylene, and coverslipped with Permount (Fisher Scientific, NJ, USA). For quantification, images were captured using a CCD video camera (CX9000, MBF bioscience, Williston, VT, USA) attached to a light microscope (Zeiss, Gottingen, Germany) with a 10× objective lens. Numbers of Fos-immunoreactive (Fos-ir) nuclei were counted in a standardized area within the PVN and subfields of the CA1, CA3, and dentate gyrus in the hippocampus using NIH Image J. The average of the counts from the two sections of the PVN and three sections of the hippocampus were used to represent the value for each animal. For the hippocampus, Fos-ir cells were counted along the molecular cell layer in the CA1 and CA3 and the granule cell layer in the dentate gyrus and calculated as cell counts per 103 μm2, and the values from left and right hemispheres were averaged.
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6

Stereological Analysis of BNST Volume and Calbindin-ir Cells

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The volumes of the BNSTp and the number of calbindin-immunopositive (calbindin-ir) cells in the BNSTp were measured using a light microscope equipped with a charge-coupled device camera (CX9000; MBF Bioscience, Williston, VT, USA) and a computer running Stereo Investigator software (MBF Bioscience). The outlines of the BNSTp on the left of the midline were traced to measure the volume. Calbindin-ir cells in the BNSTp were then counted using the optical fractionator method. Detailed parameters of the stereological analyses are as follows: section thickness, 30 µm; section interval, 60 µm; sampling grid size, 150 µm × 150 µm; counting frame size, 50 µm × 50 µm; dissector height, 13–16 µm; and guard zone height, 1.5 µm.
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7

Cochlear Staining and Microscopic Analysis

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Every tenth, systematically and randomly selected section (the first section was selected using a random number series between 1 and 10, both numbers included), stained and observed under the Olympus BX61 research microscope attached to a computer, motorized stage controller (LUDL, Germany) and video camera (MBF Biosciences, CX 9000). The live images of the cochlear serial sections were analyzed using the StereoInvestigator software (MicroBrightField Inc., VT, USA), and the volume of SV and the total length of capillaries within it were calculated by the Cavalieri estimator and hemisphere probes, respectively. Before applying the probes, we first identified the turns of the cochlea under the 2X objective lens. The cochlea having the form of a conical helix; in horizontal sections, the basal turn (BT) appeared to be the largest, followed by the middle turn (MT) and apical turn (AT) in size and distance from the base of the cochlea [Figure 1]. The turns of the cochlea appeared as either one or two cross-sections or a single tangential section. Unlike Kurata et al.,[3 (link)] we did not differentiate between the upper and lower BTs. Next, the boundaries of the SV were identified as described previously[13 (link)] [Figure 2].
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8

Effects of Light Exposure on Dendritic Spines

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Behaviorally naïve animals were used in this study. Grass rats were housed in either brLD or dimLD (n=7/condition) for 4 weeks prior to transcardial perfusion (at ZT 5–7) with a phosphate buffer followed with a Rapid-Golgi fixative solution (modified from (Patro et al., 2013 (link))). Brains were post-fixed in the same solution for 24 hours, then transferred to 3% potassium dichromate for three days before immersion in 1% AgNO3 for eight days. Brains were placed in 20% sucrose for 48 hours prior to sectioning at 100 μm using a cryostat. Sections were processed through an ethanol dehydration series and were clarified with xylene. Sections were mounted onto gelatin-coated slides and coverslipped with Permount (Fisher Scientific, NJ, USA). For quantification, images of dendritic spines were captured using a CCD video camera (CX9000, MBF bioscience, VM, USA) attached to a light microscope using an oil immersion lens (Nikon Instruments Inc., NY, USA) and spines were quantified using ImageJ with the AnalyzeSkeleton plug-in (Ignacio Arganda-Carreras, http://fiji.sc/wiki/index.php/). CA1 apical dendritic spines were analyzed from 20μm segments of four distinct dendritic branches per neuron, a total of six neurons were analyzed per brain (Pyter et al., 2005 (link)).
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9

Quantifying Neuronal Expression and Connectivity

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Images were captured using a Nikon microscope (Eclipse 80i) and 2 × /0.06 NA, 10 × /0.30 NA, and 20 × /0.50 NA objectives (Nikon) equipped with a digital camera (CX 9000; MBF Bioscience). For observation coupled with confocal analysis, a laser-scanning Fluoview confocal system (IX70; Olympus) and 10 × /0.30 NA, 20 × /0.70 NA, and 60 × /1.25 NA objectives (Olympus) were used. Subsequent analysis of digitized images was performed with ImageJ (NIH, Bethesda, Maryland1) software. For the determination of c-Fos-ir GnRH neurons, c-Fos-ir/GnRH-ir double-stained neurons in the hypothalamus were counted and expressed as a percentage of the total number of GnRH-ir neurons. Quantification of kisspeptin and GnRH-ir fiber density was carried out by voxel counts on a set of 10 serial image planes (z step size = 1 μm). KP-ir, VGLUT-ir, and VGAT-ir punctae on GnRH neurons were counted manually in a set of 20 serial image planes (z step size = 0.5 μm). Only GnRH neurons whose cell bodies were entirely present in the slice depth were considered for the analysis. The density of VGLUT-ir punctae in the OVLT and POA was calculated using the function “Find Maxima” of ImageJ. Photoshop (Adobe) software was used to process, adjust and merge the photomontages.
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