ArticlePLoS computational biology2022
A method to estimate the cellular composition of the mouse brain from heterogeneous datasets.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 29 citations in OpenAlex.
- Reciprocal connections dynamically build consensus between neocortical areas.Nature neuroscience · 2026Article
- Assessing leaky expression of Cre-dependent DNA constructs in the mouse genome using sensitive bioluminescent reporters.Cell reports methods · 2026Article
- A multimodal spatial atlas of transcriptomic, morphological, and electrophysiological cell type densities in the mouse brain.PLoS computational biology · 2026Article
- Molecularly defined cellular atlas of the entire mouse brain with isotropic single-cell resolution.Nature communications · 2025Article
- Protocol for mouse brain tissue processing and downstream analysis of circRNA-protein interactions in vivo.STAR protocols · 2025Article
- Neurons ensheathed by perineuronal nets are prone to hyperphosphorylation of tau protein in the hibernating Syrian hamster brain.Scientific reports · 2025Article
- Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training.Scientific reports · 2025Article
- Exploring the Role of Peripheral Macrophages in Glioma Progression: The Metabolic Significance of Cyclooxygenase-2 (COX-2).International journal of molecular sciences · 2025Article
- Primary Cell Cultures in Neurobiology: Optimized Protocol for Culture of Mouse Fetal Hindbrain Neurons.Cells · 2025Article
- Article
- Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP.PLoS computational biology · 2025Article
- An extended and improved CCFv3 annotation and Nissl atlas of the entire mouse brain.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Functional diversities within neurons and astrocytes in the adult rat auditory cortex revealed by single-nucleus RNA sequencing.Scientific reports · 2024Article
- Improved Efficiency and Sensitivity Analysis of 3-D Agent-based Model for Pain-related Neural Activity in the Amygdala.Spora : a journal of biomathematics · 2024Article
- A neuroscientist's guide to using murine brain atlases for efficient analysis and transparent reporting.Frontiers in neuroinformatics · 2023Article
- giRAff: an automated atlas segmentation tool adapted to single histological slices.Frontiers in neuroscience · 2023Article
- Variations on the theme: focus on cerebellum and emotional processing.Frontiers in systems neuroscience · 2023Review
- Cell-type-specific densities in mouse somatosensory cortex derived from scRNA-seq andFrontiers in neuroanatomy · 2023Article
- Parvalbumin-Positive Interneurons Regulate Cortical Sensory Plasticity in Adulthood and Development Through Shared Mechanisms.Frontiers in neural circuits · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mouse brain contains a rich diversity of inhibitory neuron types that have been characterized by their patterns of gene expression. However, it is still unclear how these cell types are distributed across the mouse brain. We developed a computational method to estimate the densities of different inhibitory neuron types across the mouse brain. Our method allows the unbiased integration of diverse and disparate datasets into one framework to predict inhibitory neuron densities for uncharted brain regions. We constrained our estimates based on previously computed brain-wide neuron densities, gene expression data from in situ hybridization image stacks together with a wide range of values reported in the literature. Using constrained optimization, we derived coherent estimates of cell densities for the different inhibitory neuron types. We estimate that 20.3% of all neurons in the mouse brain are inhibitory. Among all inhibitory neurons, 18% predominantly express parvalbumin (PV), 16% express somatostatin (SST), 3% express vasoactive intestinal peptide (VIP), and the remainder 63% belong to the residual GABAergic population. We find that our density estimations improve as more literature values are integrated. Our pipeline is extensible, allowing new cell types or data to be integrated as they become available. The data, algorithms, software, and results of our pipeline are publicly available and update the Blue Brain Cell Atlas. This work therefore leverages the research community to collectively converge on the numbers of each cell type in each brain region.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.