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Adult Human Brain 1 (Cerebral Cortex, Unknown orientation). Stains: Anti-GFAP, Anti-NFH

Spatial Gene Expression dataset analyzed using Space Ranger 1.1.0

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10 µm cerebral cortex section of human brain was obtained from tissue blocks purchased from BioIVT. The section was stained with antibodies and DAPI following Visium Spatial Protocols Tissue Preparation Guide (CG000240) with Methanol Fixation, Immunofluorescence Staining and Imaging for Visium Spatial Protocols (CG000312).

Samples were stained with antibodies and DAPI as follows:

  • 1:100 dilution of Alexa Fluor 488 anti-GFAP (P/N 644704, BioLegend)
  • 1:100 dilution of Alexa Fluor 594 anti-Neurofilament H (P/N 801709, BioLegend)
  • DAPI

Samples were imaged at 20X on a Nikon Eclipse Ti2-E with coverslip down as follows:

  • DAPI: Exposure 40 milli sec, Gain 5.1x
  • FITC: Exposure 70 milli sec, Gain 6.2x
  • TRITC: Exposure 300 milli sec, Gain 7.6x
  • Cy5: Exposure 200 mill sec, Gain 11.4x

The cloupe and TIFF files available for download here contain multiple channels or pages respectively. The following table describes the filters and stains corresponding to the channels/pages.

ChannelFilterStain
1DAPIDAPI
2FITCGFAP
3TRITCFiducial Frame
4Cy5Neurofilament H

The Visium Spatial Gene Expression libraries were generated using Visium Spatial Gene Expression Reagent Kits User Guide (CG000239) with Methanol Fixation, Immunofluorescence Staining & Imaging for Visium Spatial Protocols (CG000312). The data was analyzed using Space Ranger 1.1.

  • Sequencing instrument: Illumina NovaSeq 600
  • Sequencing Depth: 73,102 reads/tissue covered spot
  • Sequencing configuration: 28bp read 1 (16bp Visium spatial barcode, 12bp UMI), 90bp read 2 (transcript), 10bp i7 sample barcode and 10bp i5 sample barcode
  • Dual-Index set: T1T2-E8
  • Slide: V10M23-117
  • Area: A1

Key metrics were:

  • Spots detected under tissue: 4,910
  • Median genes per spot: 2,606
  • Median UMI counts per spot: 5,362

To maintain donor anonymity, sequence data for this sample is not available.

This dataset is licensed under the Creative Commons Attribution license.