Table 3_An in-depth investigation of NAs-induced osteoporosis adverse events: a real-world, network toxicology and molecular docking analysis.xlsx by Jingkai Di (17792116)

Evolution of antiplatelet therapy in Japan for the management of cerebrovascular and cardiovascular disease: a survey using data from an insurance claims data information service by Kosuke Miyake (19691851)

Probability of Reach, <i>P</i>, as a function of noise amplitude, <i>D</i>, for various values of stimulus duration, <i>T</i>. by V. Srinivasa Chakravarthy (118750)

DataSheet_1_54 years of microboring community history explored by machine learning in a massive coral from Mayotte (Indian Ocean).docx by D. Alaguarda (14293892)

“…This new method with 93% accuracy allowed analyzing rapidly more than a thousand SEM images. Our results showed an important shift in the trace assemblage composition that occurred in 1985, and a loss of 90% of microborer traces over the last five decades. …”

Body mass and condition of a fynbos bird community: investigating impacts of time, weather and raptor abundance from long-term citizen- science datasets by Alan Tristram Kenneth Lee (8829209)

<i>I Don’t Want to Shoot up the Meth Anymore:</i> Pipe Distribution as a Harm Reduction Service for People Who Use Methamphetamine by Alex Rains (21486019)

GBF1 function is required for SM acquisition but not for <i>C. trachomatis</i> replication. by Cherilyn A. Elwell (43466)

“…Dashed red lines demarcate the inclusions. Scale bar = 5 µm. (F) HeLa cells were depleted of GBF1, BIG1, and/or BIG2 for 3 days, infected with <i>C. trachomatis</i> L2 for 24 hrs, and then analyzed for progeny formation as described in <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1002198#s4" target="_blank">Materials and Methods</a>. …”

Table3_Single-Cell Transcriptome Reveals the Metabolic and Clinical Features of a Highly Malignant Cell Subpopulation in Pancreatic Ductal Adenocarcinoma.XLSX by Yangyang Fang (10941568)

“…We obtained five glycolytic marker gene signatures, which could be used to identify PDAC patient subgroups with highly malignant cell subpopulations, and proposed a GHS prognostic score.…”

Table4_Single-Cell Transcriptome Reveals the Metabolic and Clinical Features of a Highly Malignant Cell Subpopulation in Pancreatic Ductal Adenocarcinoma.XLSX by Yangyang Fang (10941568)

“…We obtained five glycolytic marker gene signatures, which could be used to identify PDAC patient subgroups with highly malignant cell subpopulations, and proposed a GHS prognostic score.…”

Table1_Single-Cell Transcriptome Reveals the Metabolic and Clinical Features of a Highly Malignant Cell Subpopulation in Pancreatic Ductal Adenocarcinoma.XLSX by Yangyang Fang (10941568)

“…We obtained five glycolytic marker gene signatures, which could be used to identify PDAC patient subgroups with highly malignant cell subpopulations, and proposed a GHS prognostic score.…”

Table2_Single-Cell Transcriptome Reveals the Metabolic and Clinical Features of a Highly Malignant Cell Subpopulation in Pancreatic Ductal Adenocarcinoma.XLSX by Yangyang Fang (10941568)

“…We obtained five glycolytic marker gene signatures, which could be used to identify PDAC patient subgroups with highly malignant cell subpopulations, and proposed a GHS prognostic score.…”

Supplementary Material for: Anti-Inflammatory Effects of Japanese Herbal Medicine Hochuekkito in a Mouse Model of Acute Exacerbation of Chronic Obstructive Pulmonary Disease by Fukuda K. (3069252)

Supplementary Material for: The Common Neural Mechanism of Somatic Symptoms of Depression and Anxiety Disorders: A Resting-State Functional Magnetic Resonance Imaging Study by Yu Y. (3096192)

Supplementary Material for: Synergistic Effects of the 308-nm Excimer Light and Topical Calcipotriol for the Treatment of Chronic Hand Eczema: A Randomized Controlled Study by Juntongjin P. (8354163)

<b>Effects of resveratrol supplementation on performance and metabolic adaptations in heat-stressed Holstein cows during early lactation–A preliminary study</b> by Morteza Hosseini Ghaffari (11007192)

Table_1_A missense mutation in the Hspa8 gene encoding heat shock cognate protein 70 causes neuroaxonal dystrophy in rats.pdf by Miyuu Tanaka (1944481)

“…Based on these neuropathological findings, F344-kk/kk rats were diagnosed with NAD. By a positional cloning approach, we identified a missense mutation (V95E) in the Hspa8 (heat shock protein family A (Hsp70) member 8) gene located on chromosome 8 of the F344-kk/kk rat genome. …”

Presentation_1_A missense mutation in the Hspa8 gene encoding heat shock cognate protein 70 causes neuroaxonal dystrophy in rats.PPTX by Miyuu Tanaka (1944481)

“…Based on these neuropathological findings, F344-kk/kk rats were diagnosed with NAD. By a positional cloning approach, we identified a missense mutation (V95E) in the Hspa8 (heat shock protein family A (Hsp70) member 8) gene located on chromosome 8 of the F344-kk/kk rat genome. …”

Table_1_A missense mutation in the Hspa8 gene encoding heat shock cognate protein 70 causes neuroaxonal dystrophy in rats.DOCX by Miyuu Tanaka (1944481)

“…Based on these neuropathological findings, F344-kk/kk rats were diagnosed with NAD. By a positional cloning approach, we identified a missense mutation (V95E) in the Hspa8 (heat shock protein family A (Hsp70) member 8) gene located on chromosome 8 of the F344-kk/kk rat genome. …”

Presentation_1_A missense mutation in the Hspa8 gene encoding heat shock cognate protein 70 causes neuroaxonal dystrophy in rats.PPTX by Miyuu Tanaka (1944481)

“…Based on these neuropathological findings, F344-kk/kk rats were diagnosed with NAD. By a positional cloning approach, we identified a missense mutation (V95E) in the Hspa8 (heat shock protein family A (Hsp70) member 8) gene located on chromosome 8 of the F344-kk/kk rat genome. …”

Supplementary Data for Schniete et al 2019.Differential transcription in expanded gene families of central carbon metabolism of Streptomyces coelicolor A3(2) by Paul A Hoskisson (449655)

“…Pyk= pyruvate kinase; PPDK= pyruvate phosphate dikinase; hrdB = housekeeping sigma factor Supplementary Table Legends Supplementary Table 1 Differential gene expression (DE) and expression category on tween versus glucose in central carbon metabolism showing all genes annotated for the function Legend: green = up, red = down, yellow highlighted genes = expanded gene in Streptomyces, '-' symbol indicates no significant change in expression detected, expression type meanings: I) same direction of change or no change in all genes II) different direction of change in all genes</p><p>Supplementary Table 2 Specialised metabolite gene clusters with individual genes showing differential expression on Tween and Glucose given SCO number, gene function, fold change and p-value</p><p>Supplementary Table 3 Genes involved in fatty acid metabolism and EM-CoA pathway showing differential expression on Tween and Glucose given SCO number, gene function, fold change and p-value</p><p>Supplementary Table 4 Regulatory genes showing differential expression on Tween and Glucose given SCO number, gene function, fold change and p-value</p><p>Supplementary Table 5 List of all genes showing differential expression on Tween and Glucose given SCO number, gene function, fold change and p-value</p><p>Supplementary Table 6 List of all genes showing differential expression on Tween and Glucose given SCO number, normalised fold change (+1 highest increase in expression to -1 highest decrease in expression), fold change and p-value</p><p>Supplementary Table 7 GO enrichment analysis (geneontology.org,<a href="https://www.ncbi.nlm.nih.gov/pubmed/23868073">https://www.ncbi.nlm.nih.gov/pubmed/23868073</a>)</p><p>Supplementary Table 8 Raw data output from analysis of RNA-Seq data from CLC Genomics Workbench 7.5</p><p> </p><p>Supplementary Table 9 Primer utilised for qPCR specifying for which gene, direction, sequence,melting temperature, amplicon size</p>…”