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This study is longitudinal research that measures individuals' social interaction and well-being repeatedly. By measuring changes in both on- and off-line social interactions, this research will investigate how the COVID-19 influence well-being.

Supplemental material, sj-docx-1-tej-10.1177_20417314221085645 for Thermoresponsive fiber-based microwells capable of formation and retrieval of salivary gland stem cell spheroids for the regeneration of irradiation-damaged salivary glands by Hye Jin Hong, Jae-Min Cho, Yeo-Jun Yoon, DoJin Choi, Soohyun Lee, Hwajung Lee, Sujeong Ahn, Won-Gun Koh and Jae-Yol Lim in Journal of Tissue Engineering

Additional file 1: Supplementary Methods, Figure S1. The version of xTea used in this study has a high performance and is comparable to MELT in short-read Illumina WGS data. Figure S2. Polymorphic and de novo transposable element insertions (TEIs) in the SSC cohort. Figure S3. The number of Alu TEIs detected per individual is different for some populations. Figure S4. Percentage of insertions which were not found in previous studies (novel) or overlap with TEIs from previous analyses (known). Figure S5. Target site duplication (TSD) size distribution for de novo and polymorphic novel and known non-reference (KNR) TEIs. Figure S6. Comparison of population allele frequencies (PAFs) between unrelated parental individuals in the SSC cohort and gnomAD-SV TEIs. Figure S7. The observed number of de novo TEIs in high probability of being loss of function intolerant (pLI) genes compared to expected TEIs based on 10,000 random simulations. Figure S8. The observed number of de novo TEIs in SFARI ASD genes and high pLI genes compared to expected TEIs based on 10,000 random simulations using a position probability matrix to consider the L1 endonuclease cleavage site. Figure S9. Parental age at birth of children with and without TEIs for cases and controls combined. Figure S10. Estimated insertion size of TEIs. Figure S11. Enrichment and depletion of TEIs in coding and gene regulatory regions. Figure S12. Enrichment and depletion of TEIs in coding and gene regulatory regions. Table S1. Polymorphic insertions sample sizes. Table S3. De novo insertion rates and sample sizes. Table S4. De novo insertions that overlap the top 10% expressed genes in the neocortex during development. Table S5. Number of de novo insertions overlapping regions with epigenetic annotation in fetal brain. Table S6. Number of observed polymorphic insertions in parental SSC samples overlapping regions with epigenetic annotation in fetal brain. Table S8. Memory and time cost of xTea on different numbers of CPU cores.

We present HiGlass, an open source visualization tool built on web technologies that provides a rich interface for rapid, multiplex, and multiscale navigation of 2D genomic maps alongside 1D genomic tracks, allowing users to combine various data types, synchronize multiple visualization modalities, and share fully customizable views with others. We demonstrate its utility in exploring different experimental conditions, comparing the results of analyses, and creating interactive snapshots to share with collaborators and the broader public. HiGlass is accessible online at http://higlass.io and is also available as a containerized application that can be run on any platform., National Institutes of Health (U.S.) (U01 CA200059), National Institutes of Health (U.S.) (R00 HG007583), National Institutes of Health (U.S.) (U54 HG007963)