Transcriptome and Metabolome Based Mechanisms Revealing the Accumulation and Transformation of Sugars and Fats in Pinus armandii Seed Kernels during the Harvesting Period by Nan Li (155066)

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MiR-129-5p levels were decreased in mouse depression models. by Qiaozhen Qin (13159201)

“…</b> Histogram depicting the distribution of increased and decreased miRNAs between control and CRS mice. …”

<i>Leptospira interrogans</i> from Okinawa induces epithelial barrier disruption with different kinetics. by Tetsuya Kakita (4922584)

Downregulation of <i>TcPiezo1</i> expression decreases Ca²⁺ entry in <i>T. cruzi.</i> by Guozhong Huang (673424)

“…(B) Downregulation of <i>TcPiezo1</i> expression showed a significant decrease of intracellular Ca²⁺ (+Tet). …”

Data Sheet 1_Increasing donor kidney age significantly aggravates the negative effect of pretransplant donor-specific anti-HLA antibodies on kidney graft survival.pdf by Michiel G. H. Betjes (8407413)

“…The incidence of ABMR was not associated with donor kidney age. However, increasing donor kidney age significantly aggravated the negative effect of preDSA on graft survival. …”

ROC curves for hub genes. by Jiyong Zhang (2498740)

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Differences in immune infiltration between NAFLD and control groups. by Jiyong Zhang (2498740)

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Enrichment Analysis Based on Ferroptosis-Related Differentially Expressed Genes. by Jiyong Zhang (2498740)

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Correlation between hub genes and 50 hallmark signaling pathways. by Jiyong Zhang (2498740)

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ROC curves for hub genes. by Jiyong Zhang (2498740)

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Intersection genes obtained from the PPI network and PPI network analysis of intersection genes. colored circles represent genes. by Jiyong Zhang (2498740)

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Expression profile heatmaps of key genes in gene sets. by Jiyong Zhang (2498740)

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Construction of the WGCNA Co-expression Network. by Jiyong Zhang (2498740)

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Differential Gene Expression Associated with Non-Alcoholic Fatty Liver Disease. by Jiyong Zhang (2498740)

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Interaction analysis of hub genes. by Jiyong Zhang (2498740)

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Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

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Shares of antibiotic substances on total prescription by quarter from 2013 to 2019 for female and male patients with UTI (N39.0, N30.0)(female: n = 1.681.255 prescriptions; male: n... by Thomas Hanslmeier (19949694)

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Shares of specialist groups prescribing 1^st, 2^nd, and 3^rd antibiotic prescriptions in UTI treatment of females (N39.0, N30.0) in 2018 and 2019. by Thomas Hanslmeier (19949694)

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Number of antibiotic prescriptions in female and male patients with UTI (N30.0 and/or N39.0). by Thomas Hanslmeier (19949694)

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Shares of antibiotic substances on total prescription in female patients with UTI (N39.0, N30.0) by physician specialties (GPs: n = 1.299.641 prescriptions; gynecologists n = 141.8... by Thomas Hanslmeier (19949694)

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