Imaging-transcriptomics of Synaptic Density Loss

Contains the data involved in the "Spatial Transcriptomic Signatures of Synaptic Density Loss in Alzheimer's Disease" study. The analysis code used in this study, including region-wise statistical mapping, PLS regression, AD-related gene analysis, and specificity assessments, is available on GitHub at https://github.com/Sahuhu-Sun/Imaging-transcriptomics.Data Description: <b>SUVR t-values.xlsx</b><b>:</b> The t-value of SV2A-SUVR, after covariate adjusted<b>AHBA expression-Left</b><b>.xlsx:</b> The expression levels of 15633 genes in the left hemisphere brain,obtained by using Abagen<br><b>.rds: </b>Genes dataset for specific analysis of cell types, brain tissue divisions and life stages.ctd_AHBA_human.rds: the Allen Cell Types Database (https://celltypes.brain-map.org/ctd_DRONC_human.rds: <i>Habib, N.</i><i> </i><i>et al.</i><i> </i><i>Massively parallel single-nucleus RNA-seq with DroNc-seq.</i><i> </i><i>Nature methods</i><i> </i><b><i>14</i></b><i>, 955-958 (2017)</i>ctd_td_Brain_region.rds: Gene expression data with hippocampal subfield and entorhinal cortex annotations were obtained from GSE278723 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE278723).td_Lifespan.rda: Gene expression data across different developmental stages of the human brain were sourced from the BrainSpan Atlas (https://www.brainspan.org/static/download.html).Notably, the neuronal cell dataset provided by the Karolinska Institute is the default reference in the <b><i>EWCE</i></b> R package and is readily accessible during execution.<b>Supplementary materials/</b><b>Supplementary Table:</b> the Supplementary materials of study "Spatial Transcriptomic Signatures of Synaptic Density Loss in Alzheimer's Disease".