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Updated: Feb 10, 2026

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Transcriptome Analysis of Single Cells
Published on: April 25, 2011
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Publisher Correction: Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex
Sinisa Hrvatin1, Daniel R Hochbaum2,3, M Aurel Nagy1
1Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Nature Neuroscience
|May 13, 2018
Summary
This study corrects errors in figures and text regarding cell types and gene expression in the mouse visual cortex. These corrections clarify the diversity of excitatory neuronal populations and their responses to sensory stimuli.
Area of Science:
- Neuroscience
- Genomics
- Cell Biology
Context:
- Previous research often analyzed limited inhibitory cell types, potentially masking excitatory population diversity.
- Understanding the full spectrum of neuronal responses to stimuli is crucial for mapping brain function.
Purpose:
- To correct inaccuracies in published figures and text related to cell-type specific gene expression and neuronal responses.
- To ensure precise representation of data concerning excitatory and inhibitory neuronal populations in the mouse visual cortex.
Summary:
- Corrections were made to figure labels (e.g., Vglut+, Gad1/2+, Aldh1l1+, Pecam1+), color scale ranges, and textual descriptions of gene expression programs.
- The revised text clarifies the diversity of experience-regulated and sensory-stimulus-responsive genes in excitatory neurons.
- The study refines the understanding of functional subdivisions within the mouse visual cortex based on cell-type organization and transcriptional responses.
Impact:
- Ensures accurate data representation for future research on visual cortex organization and function.
- Provides a more precise foundation for studies investigating neuronal diversity and stimulus processing.
- Facilitates a clearer understanding of the relationship between cellular architecture and functional specialization in the mammalian brain.
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