## 2 Results  
### Collection of Tissue Glycomic Profiling Data  
In the present dataset, the glycomic profiling data were obtained by a unified procedure (Figure 1). Briefly, 5 \(\upmu\)m-thick sections prepared from 4% paraformaldehyde-fixed FFPE tissues were deparaffinized and rehydrated. Note that all procedures for fixation, paraffin, deparaffinization, and rehydration were the same for all tissues, because these conditions may influence the resulting glycomic profiles. Then, tissue fragments were dissected through the morphological observation of hematoxylin-stained tissue sections using LMD. They were then used for protein extraction using Nonidet P-40 detergent. The resulting protein mixtures were fluorescently labeled with Cy3-succinnidyl ester (Cy3-SE) and analyzed by LMA. In this analysis, the interactions of glycoprotein samples with 45 lectins immobilized on a lectin array chip (Table S1) were quantified based on their fluorescence intensities. The resulting glycomic profile was presented as normalized intensities.  
The dataset consisted of the glycemic profiling data of a total of 234 tissue fragments obtained from FFPE sections of nine tissues from two 8-week-old male C57 BL/6] mice (Table 1). Three samples obtained from all regions and subregions of the indicated areas of each mouse (i.e., a total of six samples) were analyzed. For several regions, such as the islets of Langerhans, tissue fragments in similar regions on multiple serial sections were collected as individual samples, due to their limited area on one section. Since glycemic profiling data of the tissue samples prepared by the unified procedure were obtained by LMA analyses using lectin array chips of the same lot, all the glycemic profiles can be compared with each other, allowing the evaluation of site- and tissue-specific glycosylation patterns.  
\begin{table}
\begin{tabular}{c c c c} \hline
**Tissue** & **Region** & **Sub-Region** & **Area (mm2)** \\ \hline \hline \multirow{2}{*}{Pancreas} & \multirow{2}{*}{lobule} & head & 0.91 \\  & & body & 0.91 \\  & & tail & 0.91 \\  & \multirow{2}{*}{duct} & & 0.91 \\  & & islet of Langerhans & 0.13–0.84 \\ \hline \hline \multicolumn{2}{c}{Gallbladder} & & 0.91 \\ \hline \hline \multirow{2}{*}{Heart 1} & left ventricle & 0.91 \\  & \multirow{2}{*}{interventricular septum} & & 0.91 \\  & & right ventricle & 0.91 \\ \hline \hline \multirow{2}{*}{Heart 2} & left atrium & 0.50 \\  & \multirow{2}{*}{right atrium} & & 0.50 \\  & & left ventricle & 0.50 \\  & \multirow{2}{*}{right ventricle} & & 0.50 \\ \hline \hline \multirow{2}{*}{Lung} & alveolus & 0.91 \\  & \multirow{2}{*}{bronchiole} & & 0.91 \\  & \multirow{2}{*}{blood vessel} & & 0.91 \\ \hline \hline \multicolumn{2}{c}{Thymus} & cortex & 0.91 \\  & \multirow{2}{*}{medulla} & & 0.91 \\ \hline \hline \multicolumn{2}{c}{Skin} & epidermis & 0.91 \\  & \multirow{2}{*}{dermis} & & 0.91 \\  & \multirow{2}{*}{subcutaneous fat} & & 0.91 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Summary of tissue samples in the dataset.  
Figure 1: Schematic overview of tissue glycomic profiling by the LMD–LMA method. This method consists of three main steps: (1) tissue dissection from hematoxylin-stained FFPE tissue sections by LMD, (2) extraction and fluorescent labeling of protein samples, and (3) LMA analysis and data processing to obtain glycemic profiles.