Constructs used to produce AAV included pGP-AAV-syn-GCaMP-WPRE and the Cre recombinase-activated construct pGP-AAV-syn-flex-GCaMP-WPRE. Virus was injected slowly (30 nL in 5 minutes) at a depth of 250 μm into the primary visual cortex (two sites, 2.5 and 2.9 mm lateral from the lambda suture). For population imaging and electrophysiology (Fig 2 -3 ), AAV2/1-syn-GCaMP-WPRE virus (titer: ∼1011 (link) -1012 (link) genomes/mL) was injected into the visual cortex of C57BL/6J mice (1.5-2 months old)6 (link). For dendritic imaging (Fig 4 , 5 and 6a-f ), sparse labeling was achieved by injecting a mixture of diluted AAV2/1-syn-Cre particles (titer: ∼1012 (link) genomes/mL, diluted 8000-20,000 fold in PBS) and high titer, Cre-dependent GCaMP6s virus (∼8×1011 (link) genomes/mL). This produces strong GCaMP6 expression in a small subset of neurons (∼3-5 cells in a 250 μm × 250 μm × 250 μm volume), defined by Cre expression56 (link). Both pyramidal (Fig. 4 -5 ) and GABAergic (Fig. 6 ) neurons were labeled using this approach, but they could be distinguished based on the presence or absence of dendritic spines. Post hoc immunolabeling further identified the imaged cells. For specific labeling of parvalbumin interneurons (Fig. 6g and Supplementary Fig. 12 ), Cre-dependent GCaMP6s AAV was injected into the visual cortex of PV-IRES-Cre mice57 (link). Individual somata (Supplementary Fig. 12 ) and dendritic segments could be recognized (Fig. 6 g, h , total length of imaged dendrite: 2.86 mm), but the high labeling density made it difficult to track individual dendrites over long distances.
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Cell Component
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Dendritic Spines
Dendritic Spines
Dendritic spines are small, protrusions on the dendrites of neurons that receive and integrate synaptic inputs.
They play a crucial role in neuronal signaling and synaptic plasticity, which underpins learning and memory.
Dendritic spines come in a variety of shapes and sizes, and their morphology and density can change in response to neuronal activity and various neurological conditions.
Understandng dendrtic spine biology is critical for advancing our knowledge of brain function and developing new therapies for neurological disorders.
PubCompare.ai's AI-driven platform can help streamline your dendritic spine research by locating optimal protocols and products to enhance reproducibility and experimental outcomes.
They play a crucial role in neuronal signaling and synaptic plasticity, which underpins learning and memory.
Dendritic spines come in a variety of shapes and sizes, and their morphology and density can change in response to neuronal activity and various neurological conditions.
Understandng dendrtic spine biology is critical for advancing our knowledge of brain function and developing new therapies for neurological disorders.
PubCompare.ai's AI-driven platform can help streamline your dendritic spine research by locating optimal protocols and products to enhance reproducibility and experimental outcomes.
Most cited protocols related to «Dendritic Spines»
Cells
Cre recombinase
Dendrites
Dendritic Spines
Genome
Internal Ribosome Entry Sites
Interneurons
Mice, Inbred C57BL
Neurons
Parvalbumins
Striate Cortex
Sutures
TCL1B protein, human
Virus
Visual Cortex
Brains were harvested whole from P14 or P25 mice on a 129 background and stained using the FD Rapid GolgiStain kit (FD NeuroTechnologies). Brains were rinsed with double distilled water and then immersed in a 1∶1 mixture of FD Solution A∶B for 2 weeks at room temperature in the dark. Brains were then transferred to FD Solution C and kept in the dark at 4°C for 48 hours. Solution C was replaced after the first 24 hours. In preparation for freezing, individual brains were placed in Peel-A-Way disposable embedding molds (VWR) and immersed in Tissue Freezing Medium (Triangle Biomedical Sciences). Dry ice was used to line the bottom of an ice bucket, which was then filled with 190-proof ethanol (Koptec). Using forceps, the molds were lowered into the ethanol (being careful not to allow the ethanol to spill into the top of the mold) and held until the TFM froze. Brains were kept at −80°C until sectioning. Cryosectioning was performed on a Leica CM 3050 S at −22°C. Coronal sections of 100 µm thickness were cut and transferred to gelatin coated slides (LabScientific) onto small drops of FD Solution C. This thickness enabled optimal staining and preservation of spines on the secondary and tertiary dendritic segments used for analysis in the examples presented here. However, any thickness between 80 to 240 µm (recommended in the FD Rapid GolgiStain instructions) can be used in order to satisfy the user’s unique requirements, providing that individual dendritic spines can still be differentiated and measured. After allowing sections to dry at room temperature in the dark for at least 4 hours (or overnight), slides were then stained exactly as described in the FD Rapid GolgiStain instructions (under “Part VI. Staining Procedure”). Permount (Fisher) was used for coverslipping.
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ARID1A protein, human
Biologic Preservation
Brain
Dendrites
Dendritic Spines
Dry Ice
Ethanol
Forceps
Freezing
Fungus, Filamentous
Gelatins
Mice, 129 Strain
Tissues
Vertebral Column
Dendritic spines were three-dimensionally reconstructed (Figures 1 F and 2 ) with the aid of Reconstruct software (Reconstruct 1.0.5.7; available from http://synapses.mcg.edu/ ; (Fiala, 2005 (link))). Independent traces were drawn for the neck and head of each spine, and three-dimensional distances were measured for the spine length, neck length and neck diameter of spines located at a distance of 13–127 μm from the cell body. Since the neck diameter was not constant, an average diameter was calculated from three measurements obtained proximal, intermediate and distal to the insertion of the spine to the dendrite. Depending on the angle of visualization of the spine, sometimes the head was difficult to distinguish from the neck. In these cases, the border between the head and the neck was traced after rotating the spine in order to view the spine at different angles (Figure 2 B). In 14 spines, it was not possible to distinguish a clear head (Figure 2 ). Since the head usually presented an irregular shape (Figures 1 F and 2 ), an average head diameter was estimated from the measured head volume and length, considering the head as a cylinder (head diameter = 2× square root (head volume/head length/π)). Volumes were measured directly from the three-dimensional reconstructions.
Synapses were identified by the presence of a PSD facing an axon terminal with synaptic vesicles (Figure1 E). Synapses were most frequently cut transversally and were traced as lines that followed the length of the PSD, while those cut tangentially were traced as closed contours to obtain a consistent estimation of synaptic surface area. Tangentially cut postsynaptic densities frequently appeared in adjacent sections with overlapping distribution. In these cases, redundant regions were traced only in one section to avoid overestimation of the surface area. In addition, the average diameter of the PSD was calculated from the values of PSD surface area, assuming a circular shape of the PSD.
The presence of perforations and segregations in the PSD (Figure1 E) allowed the classification of synapses as simple or complex. PSDs resembling disks were considered simple and will be referred as macular, while complex PSDs were considered those with a single or multiple perforations in the PSD, or a segregation of the PSD associated to a single axon terminal.
Synapses were identified by the presence of a PSD facing an axon terminal with synaptic vesicles (Figure
The presence of perforations and segregations in the PSD (Figure
Axon
Cell Body
Cervical Vertebrae
Dendrites
Dendritic Spines
Head
Macula Lutea
Neck
Post-Synaptic Density
Presynaptic Terminals
Reconstructive Surgical Procedures
Synapses
Tooth Root
Vertebral Column
Batch Cell Culture Techniques
calcium phosphate
Dendritic Spines
Formaldehyde
Genotype
Head
Microscopy, Confocal
Mus
Neck
Neurons
Plasmids
Sucrose
Synapses
Tomatoes
Vertebral Column
Vision
6-Cyano-7-nitroquinoxaline-2,3-dione
Animals
Animals, Laboratory
Antibodies
Calmodulin-Dependent Protein Kinase II
Cell Culture Techniques
Dendritic Spines
Dietary Supplements
Egtazic Acid
Fluorescence
Glucose
Glutamate
Glycine
HEK293 Cells
HEPES
Innovativeness
Institutional Animal Care and Use Committees
Ionomycin
Light
Magnesium Chloride
Microscopy
Mus
N-Methylaspartate
Neurons
Osmolarity
Phosphorylation
Proteins
Pulses
Schaffer Collaterals
Sepharose
Sodium Chloride
Student
Sucrose
Technique, Dilution
Transfection
Vertebral Column
Most recents protocols related to «Dendritic Spines»
All images relating to DF motility and immunofluorescence were collected on a Nikon Ti-E Total Internal Reflection Fluorescence (TIRF) microscope (Nikon Instruments) equipped with an ORCA-Flash 4.0 V2 sCMOS camera (Hamamatsu), motorized stage, perfect focus system, and environmental chamber (InVivo Scientific) to maintain humidity, 37°C and 5% CO2 ambient conditions. Neuron cultures were imaged in standard Neurobasal Media containing phenol red. For widefield fluorescence imaging, microscope is equipped with a SOLA solid-state LED white light source (Lumencor, 100% power), and a DAPI/FITC/CY3/CY5 excitation, emission, and dichroic filter set (89000 Sedat Quad ET, Chroma. Excitation Filters: D350/50x, ET402/15x, ET490/20x, ET555/25x, ET645/30x. Emission Filters: ET455/50 m, ET525/36 m, ET605/52 m, ET705/72 m). For TIRF imaging, microscope is equipped with a 405/488/561/640 nm laser launch (LUN4; Nikon, 15 mW, 100% power except for optogenetic activation at 10% power), Ti-TIRF-E Motorized Illuminator Unit, and utilized with C-FL TIRF Ultra Hi S/N 405/488/561/638 Quad Cube, Z Quad HC Cleanup, and HC TIRF Quad Dichroic. All images observing synapse formation and dendritic spine density were performed on a Nikon Ti2-E (Nikon) equipped with a CSU-W1 SoRa spinning disk confocal (Yokogawa), Kinetix sCMOS (Photometrics), motorized stage, perfect focus system, and an environmental chamber (Tokai). Microscope is further equipped with a 405/488/561/640 nm laser launch (Nikon, LUNF-XL, 50/60/50/40 mW respectively, 25–50% power), dichroics (100199, Chroma, ZT405/488/561/640RPCV2 MTD TIRF cube), and emission filters (ET455/50 m, ET535/30 m, ET605/52 m, ET705/72 m). Acquisition software was NIS Elements (Nikon).
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DAPI
Dendritic Spines
Fluorescein-5-isothiocyanate
Fluorescence
Fluorescent Antibody Technique
Humidity
Light
Microscopy
Microscopy, Fluorescence
Motility, Cell
Neurons
Optogenetics
Orcinus orca
Reflex
Strains
Synapses
Tip tracking was performed using Manual Tracking in NIH ImageJ (FIJI build [Schindelin et al., 2012 (link)]). DF were only tracked if they met the following conditions: no contact with axons, neighboring DF, or debris during the time course; emanated from dendrites at least 50 µm away from the center of the soma; clearly visible by brightfield during time course; if they initiated or retracted during imaging, non-existent timepoints were removed from further analysis; buckling and wagging DF were included in tracking. Using the manually tracked positions of the DF base and tip, the image files were then further analyzed with a custom MATLAB script to determine the centerline path along each DF (Mendeley data hyperlink). This script used the fluorescent intensity in either the LifeAct or GFP space-filler channel in the vicinity of the tip and base coordinates to define the average tangent direction of the long axis of the DF by computing the tangent angle q at pixel i using where brackets denote the intensity-weighted average over a 15 × 15 pixel domain centered on the ith pixel. The centerline curve (x(s),y(s)) was then determined by solving
subject to the constraint that the starting and ending positions were the tracked positions of the base and tip of the DF. Using the centerline curves for each DF at each time point, we then calculated the absolute tip displacement, DF length, and mean tip fluorescence intensity and were able to extract the following metrics: average filopodial tip speed calculated as the average of the instantaneous speeds (absolute tip displacement per 5 s interval) between successive timepoints; percent motile, percent of total DF population with average tip speeds greater than 0.0128 µm/s (motile; one pixel displacement or greater per 5 s interval) or less than 0.0128 µm/s (non-motile); percent time motile, the percent of time per DF in which instantaneous speed was greater than 0.0128 µm/s; average length, the distance from base to tip along the centerline curve, median protrusion or retraction rate, the positive or negative change in length between successive timepoints, when instantaneous change in length was greater than ±0.0128 µm/s (motile); mean fluorescence intensity for a circular area of 384 nm radius surrounding the distal DF tip with non-cell background omitted; fluorescence intensity variance, a measure of the spread of intensity values compared to the mean. Fluorescence intensity values were normalized for expression by the minimum local intensity during the duration of imaging. For defining motile versus non-motile filopodia, or substantiative protrusion/retraction rates, a threshold of 0.0128 µm/s was chosen as it represents one pixel (effective size at 100X = 0.064 µm) displacement per 5-s interval and undistinguishable from tracking error. Neurite morphology was measured using the ImageJ plug-in Simple Neurite Tracer (Longair et al., 2011 (link)). Tracings were used to determine the number and length of primary and higher order neurites, and length of the axon (the longest Tau-positive process). Protrusion and spine density was determined by counting proturbences or dendritic spines along a length of dendrite. PSD95 foci analysis was performed by generating a binary mask of foci, and using the automated 2D tracking module in NIS-Elements (Nikon) to follow their trajectories.
subject to the constraint that the starting and ending positions were the tracked positions of the base and tip of the DF. Using the centerline curves for each DF at each time point, we then calculated the absolute tip displacement, DF length, and mean tip fluorescence intensity and were able to extract the following metrics: average filopodial tip speed calculated as the average of the instantaneous speeds (absolute tip displacement per 5 s interval) between successive timepoints; percent motile, percent of total DF population with average tip speeds greater than 0.0128 µm/s (motile; one pixel displacement or greater per 5 s interval) or less than 0.0128 µm/s (non-motile); percent time motile, the percent of time per DF in which instantaneous speed was greater than 0.0128 µm/s; average length, the distance from base to tip along the centerline curve, median protrusion or retraction rate, the positive or negative change in length between successive timepoints, when instantaneous change in length was greater than ±0.0128 µm/s (motile); mean fluorescence intensity for a circular area of 384 nm radius surrounding the distal DF tip with non-cell background omitted; fluorescence intensity variance, a measure of the spread of intensity values compared to the mean. Fluorescence intensity values were normalized for expression by the minimum local intensity during the duration of imaging. For defining motile versus non-motile filopodia, or substantiative protrusion/retraction rates, a threshold of 0.0128 µm/s was chosen as it represents one pixel (effective size at 100X = 0.064 µm) displacement per 5-s interval and undistinguishable from tracking error. Neurite morphology was measured using the ImageJ plug-in Simple Neurite Tracer (Longair et al., 2011 (link)). Tracings were used to determine the number and length of primary and higher order neurites, and length of the axon (the longest Tau-positive process). Protrusion and spine density was determined by counting proturbences or dendritic spines along a length of dendrite. PSD95 foci analysis was performed by generating a binary mask of foci, and using the automated 2D tracking module in NIS-Elements (Nikon) to follow their trajectories.
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Axon
Dendrites
Dendritic Spines
Epistropheus
Filopodia
Fluorescence
Neurites
Radius
Vertebral Column
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Cortex, Cerebral
Dendritic Spines
Mice, Laboratory
Morphogenesis
Motility, Cell
Neurons
Synapses
VASP protein, human
Confocal images were obtained using a Zeiss LSM 800 confocal microscope [Carl Zeiss IMT (Shanghai) Co., Ltd.] with an x63 oil objective (1.0 numerical aperture) with a sequential acquisition setting. Following OGD treatment, primary hippocampus neurons were washed with PBS and fixed with 4% paraformaldehyde at room temperature for 20 min (cat. no. P0099; Beyotime Institute of Biotechnology). Fixed cells were visualized with 488 nm excitation for enhanced green-fluorescent protein. Up to 10 positive neurons were observed per dish. Dendritic spines resembled mushroom-shaped protrusions. Spine length and width were measured using ImageJ (version 1.50i; National Institutes of Health). Spine length was defined as the distance from the tip of the spine head to the point where the spine starts to grow at the dendrite. Spine width was defined as the maximal width of the spine head perpendicular to the long axis of the spine neck.
For PKCε inhibiting assay, PKCε-specific inhibiting peptide, EAVSLKPT, was used here (cat no. 539522; MilliporeSigma). In brief, hippocampus neurons were transfected with 2 µg of eGFP plasmid at DIV6 and treated with 1 mM inhibitor at DIV16. After 24 h treatment at 37˚C, cells were moved to an OGD chamber for 2 h. After OGD treatment, cells were fixed and observed under confocal microscope in the way as stated above.
While performing quantifications, all green positive neurons in each dish that have intact cell membrane were imaged and used for quantification. All dendritic spines identified on each imaged neuron were quantified for number, length and width. There were at least 30 positive neurons from 3-5 repeated experiments used for quantification and 1,200-1,500 dendritic spines were quantified in total in each group (50-70 spines per neuron). The quantifications were performed by two individuals (LL and GS) who were blind to the experimental conditions and the results were averaged.
For PKCε inhibiting assay, PKCε-specific inhibiting peptide, EAVSLKPT, was used here (cat no. 539522; MilliporeSigma). In brief, hippocampus neurons were transfected with 2 µg of eGFP plasmid at DIV6 and treated with 1 mM inhibitor at DIV16. After 24 h treatment at 37˚C, cells were moved to an OGD chamber for 2 h. After OGD treatment, cells were fixed and observed under confocal microscope in the way as stated above.
While performing quantifications, all green positive neurons in each dish that have intact cell membrane were imaged and used for quantification. All dendritic spines identified on each imaged neuron were quantified for number, length and width. There were at least 30 positive neurons from 3-5 repeated experiments used for quantification and 1,200-1,500 dendritic spines were quantified in total in each group (50-70 spines per neuron). The quantifications were performed by two individuals (LL and GS) who were blind to the experimental conditions and the results were averaged.
Aftercare
Agaricales
Biological Assay
Cells
Cervical Vertebrae
Dendrites
Dendritic Spines
enhanced green fluorescent protein
Epistropheus
Head
Hyperostosis, Diffuse Idiopathic Skeletal
Microscopy, Confocal
Neurons
paraform
Peptides
Plasma Membrane
Plasmids
Seahorses
Training Programs
Vertebral Column
Statistical analysis of the results from behavioral tests in juvenile and matured mice was performed with SigmaPlot 13.0. A normality test (Shapiro–Wilk method) and an equal variance test (Brown–Forsythe method) were applied to determine which parametric test should be used. Grubbs' test (the extreme studentized deviate method) was applied to determine whether one of the values in the list is a significant outlier from the rest. For data obtained from repeated measures, a two-way RM ANOVA with the Holm–Šidák post hoc test was applied (CFC, LTP). For data not repeatedly acquired from many groups, two-way ANOVA with the Holm–Šidák post hoc test was applied (LTP, CFC associated spine analysis). For data collected from a single test based on novelty recognition (NOLT, NORT, TORT, Sociability, SRT), a two-sided paired t test was applied for analysis of exploring time. For other comparisons between two groups (discrimination ratios, datasets in OF, EPM, spine analysis in rescue experiment), a two-sided unpaired t test was applied. For comparison of datasets failed in the equal variance test (Figs. 6 C, D, 7 D, 8 F (upper), Fig. 8 G (upper), Fig. 8 H (upper), Fig.S2B, and Fig.S4A), Welch's t test was applied. P < 0.05 was used to reject the null hypothesis. For comparison of cumulative distributions of dendritic spine parameters and axonal bouton analysis, the Kolmogorov–Smirnov (KS) test was used.
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Axon
Behavior Test
Dendritic Spines
Discrimination, Psychology
Mice, House
neuro-oncological ventral antigen 2, human
Vertebral Column
Top products related to «Dendritic Spines»
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The FD Rapid GolgiStain Kit is a laboratory tool designed for the rapid and efficient staining of neuronal morphology in biological samples. It utilizes a modified Golgi staining technique to selectively visualize the intricate structures of individual neurons within a given tissue.
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The Rapid Golgi Stain Kit is a laboratory equipment product designed for the visualization of neuronal morphology. The kit provides a chemical staining procedure that allows for the selective labeling of individual neurons within neural tissue samples.
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Neurolucida is a software suite for 3D reconstruction and analysis of neuroanatomical structures. It provides tools for tracing and quantifying neurons, dendrites, and other morphological features from microscope images.
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Neurolucida is a software application developed by MBF Biosciences. It is used for the reconstruction and analysis of microscopic images, particularly those related to neuroscience research. The core function of Neurolucida is to provide tools for the accurate tracing and quantification of neuroanatomical structures, such as neurons and their processes, within digital images.
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Neurolucida is a software application designed for three-dimensional reconstruction and analysis of neuroanatomical structures. It provides tools for tracing and digitizing microscopic images, allowing users to create detailed models of neurons, blood vessels, and other biological features.
More about "Dendritic Spines"
Dendritic spines are small, protrusion-like structures that extend from the dendrites of neurons.
These specialised compartments play a crucial role in neuronal signaling and synaptic plasticity, which underpin key brain functions like learning and memory.
Dendritic spines come in a variety of shapes and sizes, and their morphology and density can dynamically change in response to neuronal activity and various neurological conditions.
Understanding the biology of dendritic spines is critical for advancing our knowledge of brain function and developing new therapies for neurological disorders.
Researchers can leverage PubCompare.ai's AI-driven platform to streamline their dendritic spine research workflows.
The platform helps locate optimal protocols and products from scientific literature, preprints, and patents, enabling enhanced reproducibility and improved experimental outcomes.
Techniques like the FD Rapid GolgiStain Kit, combined with imaging solutions like the LSM 510 and VT1200S, can be used to visualize and analyze dendritic spine structure and dynamics.
Specialized software like Neurolucida can assist with quantitative assessment of dendritic spine morphology and density.
Additionally, tools like Lipofectamine 2000 can facilitate genetic manipulation of neurons to study the molecular mechanisms underlying dendritic spine function.
By utilizing the insights and capabilities provided by PubCompare.ai and complementary research tools, scientists can delve deeper into the fascinatiing world of dendritic spines and accelerate discoveries that unlock new frontiers in neuroscience and neurotherapeutics.
Whether your focus is on synaptic plasticity, learning and memory, or neurological disorders, PubCompare.ai can be a valuable ally in streamlining your dendritic spine research.
Discover how PubCompare.ai's AI-driven platform can enhance your workflows and experimental outcomes by visiting the website at pubcompare.ai.
Let us help you navigate the complexities of dendritic spine biology and unlock new possibilities in your research.
These specialised compartments play a crucial role in neuronal signaling and synaptic plasticity, which underpin key brain functions like learning and memory.
Dendritic spines come in a variety of shapes and sizes, and their morphology and density can dynamically change in response to neuronal activity and various neurological conditions.
Understanding the biology of dendritic spines is critical for advancing our knowledge of brain function and developing new therapies for neurological disorders.
Researchers can leverage PubCompare.ai's AI-driven platform to streamline their dendritic spine research workflows.
The platform helps locate optimal protocols and products from scientific literature, preprints, and patents, enabling enhanced reproducibility and improved experimental outcomes.
Techniques like the FD Rapid GolgiStain Kit, combined with imaging solutions like the LSM 510 and VT1200S, can be used to visualize and analyze dendritic spine structure and dynamics.
Specialized software like Neurolucida can assist with quantitative assessment of dendritic spine morphology and density.
Additionally, tools like Lipofectamine 2000 can facilitate genetic manipulation of neurons to study the molecular mechanisms underlying dendritic spine function.
By utilizing the insights and capabilities provided by PubCompare.ai and complementary research tools, scientists can delve deeper into the fascinatiing world of dendritic spines and accelerate discoveries that unlock new frontiers in neuroscience and neurotherapeutics.
Whether your focus is on synaptic plasticity, learning and memory, or neurological disorders, PubCompare.ai can be a valuable ally in streamlining your dendritic spine research.
Discover how PubCompare.ai's AI-driven platform can enhance your workflows and experimental outcomes by visiting the website at pubcompare.ai.
Let us help you navigate the complexities of dendritic spine biology and unlock new possibilities in your research.