Differential expression patterns and functional gene groups associated with SARS-CoV-2 viral load across serially collected samples. by Vasanthi Avadhanula (259546)

S1 File - by Vasanthi Avadhanula (259546)

“…Our findings provide a catalog of SARS-CoV-2 host response genes changing over time and magnitude of these host responses were significantly correlated to viral load.…”

Differential expression patterns and functional gene groups associated with SARS-CoV-2 infection of nose organoids. by Vasanthi Avadhanula (259546)

“…<b>(c)</b> Similar to part b, but for genes decreased with SARS-CoV-2 infection. <b>(d)</b> Selected significantly enriched GO terms ⁴¹ within the genes over-expressed with SARS-CoV-2 infection in HNO204 (p<0.05, t-test). …”

Genes correlated with SARS-CoV-2 viral load over time are similarly expressed in independent datasets of SARS-CoV-2 infected lung and upper airway cells. by Vasanthi Avadhanula (259546)

Multilevel logistic regression analysis of individual and community level factors. by Mulugeta Wassie (10803155)

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Socio- demographic characteristics of study participants. by Mulugeta Wassie (10803155)

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Model comparison and random effect. by Mulugeta Wassie (10803155)

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Raw data. by Yin Jie (21464235)

“…Furthermore, changes in different phytohormones in rice seedlings were triggered by 1’,4’-<i>trans</i>-diol-ABA treatment. …”

Thyroid dysplasia in inbred C57BL/6NTac mice WT, HET or HOM for the LINE-1. by Wendy J. Bailey (14926392)

Effect of the VEGF-A–bevacizumab complex removal using immunoprecipitation on the concentrations of VEGF-A121, VEGF-A165, and VEGF-A. by Masashi Okawa (8951294)

VEGF-A121, VEGF-A165, and VEGF-A contents per unit platelets. by Masashi Okawa (8951294)

Blood concentrations of VEGF-A121, VEGF-A165, and VEGF-A pre- and post-bevacizumab administration. by Masashi Okawa (8951294)

Neutralization with additional bevacizumab to serum samples pre- and post-bevacizumab administration. by Masashi Okawa (8951294)

“…<b>c</b> Further addition of bevacizumab to serum samples post-bevacizumab administration significantly decreased VEGF-A121 levels in samples to which 20 and 200 μg/mL bevacizumab was added (ANOVA: <i>p</i> < 0.0001; Dunnett’s multiple comparisons test: +2 μg/mL, <i>p</i> = 0.7096 vs control; +20 μg/mL, <i>p</i> = 0.0107 vs control; +200 μg/mL, <i>p</i> < 0.0001 vs control). …”

Influencing factors of APCA. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Temporal trends in APCA. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Traditional Markov transfer probability matrices. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Spatial Markov transfer probability matrix. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Three-dimensional kernel density of APCA. by Wenping Ning (19871091)

“…Spatially, APCA shows a distribution pattern of “west high, east low”. 2) APCA mainly shifted sequentially between neighbouring ranks. Besides, the change of APCA had significant spatial spillover effect, and highly advantage provinces featured more prominent proactive spillovers. 3) There is significant heterogeneity among the influencing factors.…”

Ingenuity pathway analysis. by Wendy J. Bailey (14926392)

“…The mouse genome contains a significant amount of retrotransposon DNA, and these mobile genetic elements routinely change genomic location through retrotransposition, including in germ cells. …”

Effect of adding rhVEGF-A (-121 or -165) on the concentrations of VEGF-A121 and VEGF-A165 in plasma samples. by Masashi Okawa (8951294)