Additional file 2. Gene list of hallmark inflammatory response.

This dataset contains data relates to the publication " Chemical Origin of Temperature-Dependent Phase Transition and Conductivity in Hydroxyapatite", by Wang et al., 2022. In this work, we use deep potential molecular dynamics simulation to study Temperature-Dependent Phase Transition and Conductivity in Hydroxyapatite. The deep neural network potential is trained on DFT calculations. This dataset contains the deep potential models and the DFT training data reported in the publication, the input files of vasp, lammps,...

Additional file 5: Table S4. Annotation and haplotype analysis of associated genes.

The detailed information of sampling stations, the carbon, nitrogen, and amino acids levels in DOM and POM, as well as other parameters including temperature, salinity, nutrients, chlorophyll-a, and biological parameters (heterotrophic bacteria, Synechococcus, and picoeukaryotes) are dispalyed in this dataset.

Additional file 2. The immune related genes that differentially expressed in macrophages after the overexpression of circZNF451.

Additional file 1: Table S1. Summary information on the ATAC-seq samples investigated in this study. Table S2. Summary information on the RNA-seq samples investigated in this study. Table S3. The information of download data. Table S4. Comparison with peaks of previous study designed by zhou et al. Table S5. Motif enrichment analysis of shared peaks. Table S6. The information of PERV overlapped peaks. Table S7. The information of GWAS SNPs which located in peak regions....

Additional file 2: Fig. S1. The analysis process and characteristics of peaks. (a) and (b) The ATAC-seq signal enrichment around TSSs and insert size distribution of ATAC-seq for 2 samples (brain_sample1 and brain_sample2). (c) Proportion of tissue-specific peaks that were distal peaks or proximal peaks. (d) Distribution of peak size obtained in this study. Fig. S2. Identifying the functional pathway and tissue specificity via RNA-seq. (a) Hierarchical clustering using gene expression. (b) Functional enrichment of...

Additional file 6: Fig S6. Standard Plot for ALA measurement. x: the absorbance at 554 nm; y: ALA concentration of sample after diluted (mg/L).

Additional file 4: Supplementary Table S8. List of the downregulated differentially expressed genes from RNA sequencing results in Tsc2-/- MEFs and Tsc2+/+ MEFs. All genes were identified with FDR-adjusted p-value<0.05 and absolute value of log2(FC)>1.

Additional file 5: Supplementary Table 9. List of the downregulated differentially expressed genes from DEGs in angiofibroma(AF) of TSC patients vs. normal skin. All genes were identified with FDR-adjusted p-value < 0.05 and absolute value of log2(FC) > 1.

SOMAS dataset and XYZ files

Additional file 2: Table S1. The formula used to calculate R2 and F statistic between exposure and outcome; Table S2. Summary statistics of the anxiety disorders; Table S3–S12. Mendelian Randomization estimation for Amino acid(Table S3); Carbohydrate (Table S4); Co-factor or vitamin(Table S5);Energy(Table S6); Lipid(Table S7); Nucleotide (Table S8); Peptide (Table S9); Xenobiotic(Table S10);X(unknow metabolites) (Table S11);known metabolites (Table S12) on the risk of anxiety disorders; Table S13. The characteristics of SNPs and their genetic associations...

ABSTRACT Introduction The peculiar characteristics of short track speed skating should be integrated into the psychology of competitions; it is considered that elite athletes engaged in this particular sport should have a healthy psychic condition. Objective Investigate the explosive power of female speed skaters in short track speed skating. Methods 10 key athletes from the national short track speed skating team were selected, and explosive power was tested by T-test, hexagonal test, and pro sensitivity...

Additional file 13 Supplementary Table 5. sgRNA efficiency test in reporter system (raw data for Fig. 4B and D).

Additional file 3. Detailed information of genes upregulated after heat treatment.

Additional file 6. Combined raw data, with each figure on a spreadsheet.

Additional file 6. Combined raw data, with each figure on a spreadsheet.

Additional file 12 Supplementary Table 4. Expression profile for mouse KRAB-Zfps in various types and tissue types (information for Fig. 2).

Additional file 2: Table S4. Proteomic analysis of the intracellular and secretome in P. putida KT2440.

Source_Data_Figure_2 and 3

Supplementary Material 1

Supplementary Material 2

Supplementary Material 8

Additional file 2. Clinicopathological Data for 40 TNBC.

Additional file 3. Digital raw data.