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significantly increased » significant increase (Expand Search)
increased decrease » increased release (Expand Search), increased crash (Expand Search)
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16161
Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16162
Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif
Published 2024“…</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. …”
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16163
Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16164
Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16165
Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16166
Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16167
Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16168
Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16169
Table1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16170
Table4_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx
Published 2024“…</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. …”
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16171
Image2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif
Published 2024“…</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. …”
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16172
USUV replicates in STAT1-sufficient peripheral tissues leading to spleen and liver pathology.
Published 2025“…USUV RNA was quantified in the (A) liver, (B) spleen, (C) kidney, (D) lung, and (E) brain of Vav-Cre/<i>Stat1</i><sup>fl/fl</sup>, <i>Stat1</i><sup>-/-</sup>, and <i>Stat1</i><sup>fl/fl</sup> mice by qPCR. Significant levels of USUV RNA were detected in the liver, spleen, kidney, and lung of Vav-Cre/<i>Stat1</i><sup>fl/fl</sup> and <i>Stat1</i><sup>-/-</sup> mice. …”
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16173
Zika virus replicates efficiently in the zebrafish model and induces morphological defects.
Published 2024“…. **** 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. …”
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16174
Digitized maps of vascular plant species distributions in Denmark in the early 20th century
Published 2025“…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.…”
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16175
<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...
Published 2025“…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). …”