Title: Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution
Authors: Samuel G Rodriques, Robert R Stickels, Aleksandrina Goeva, Carly A Martin, Evan Murray, Charles R Vanderburg, Joshua Welch, Linlin M Chen, Fei Chen, Evan Z Macosko
Date published: 3/29/19
Date added: 5/1/22
Journal: Science
Protocol: Slide-seq
Data source: SCP354
Species: mouse
Number of samples: 106
Region: Whole brain, hippocampus
Figure: High-resolution RNA capture from tissue by Slide-seq.
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ssREAD sample ID: ST00501
Sample raw name: Cerebellum_Puck_180819_11
Total spots in the plot: 582
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Gene expression
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| Gene name | Log fold-change | target_domain | Adjusted p-value | in_group_fraction | out_group_fraction | in_out_group_ratio | in_group_mean_exp | out_group_mean_exp |
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Note: The MAST package were used to calculate DEGs on normalized gene expression data (parameter: log2FC > 0.25, adj.p-value < 0.05).
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| Gene name | Log fold-change | Pct.1 | Pct.2 | Adjusted p-value |
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Sorry. No differentially expressed genes are available to present.
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