Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table4_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

USUV replicates in STAT1-sufficient peripheral tissues leading to spleen and liver pathology. by Amy N. Nelson (21763146)

“…USUV RNA was quantified in the (A) liver, (B) spleen, (C) kidney, (D) lung, and (E) brain of Vav-Cre/<i>Stat1</i>^fl/fl, <i>Stat1</i>^-/-, and <i>Stat1</i>^fl/fl mice by qPCR. Significant levels of USUV RNA were detected in the liver, spleen, kidney, and lung of Vav-Cre/<i>Stat1</i>^fl/fl and <i>Stat1</i>^-/- mice. …”

Zika virus replicates efficiently in the zebrafish model and induces morphological defects. by Aïssatou Aïcha Sow (20371233)

“…. **** P ≤ 0.0001; ns = not significant; one-way ANOVA. (F-G) Total ZIKV RNA (F) and ZIKV negative strand (-) RNA (G) levels in whole larvae pools (6–15 larvae) at 1, 2 and 3 dpf were determined using ddPCR. …”

Digitized maps of vascular plant species distributions in Denmark in the early 20th century by Ditte Marie Christiansen (12182972)

“…By comparing with modern distribution data, species increases and decreases can be determined, contributing to large-scale synthesis of national, European or worldwide plant diversity changes in the modern era.…”

<b>Distributed Hydraulic Micro-Cooling (MHD): A Low-Cost, High-Impact Urban Heat Mitigation Strategy</b> / <b>Enfriamiento Hidráulico Micro-Distribuido (MHD): Estrategia Urbana de... by Ricardo Riveros (22484566)

“…Large thermal masses such as roofs, asphalt roads, and concrete structures store significant amounts of solar radiation during the day (up to 1200–1600 MJ/m²). …”