Image4_Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function.JPEG by Lorenzo M. Fernandes (17038200)

Image5_Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function.JPEG by Lorenzo M. Fernandes (17038200)

Image1_Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function.JPEG by Lorenzo M. Fernandes (17038200)

Image3_Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function.JPEG by Lorenzo M. Fernandes (17038200)

Image5_Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function.JPEG by Lorenzo M. Fernandes (17038200)

Image2_Hyperactive KRAS/MAPK signaling disrupts normal lymphatic vessel architecture and function.JPEG by Lorenzo M. Fernandes (17038200)

Table_1_Drought-Induced, Punctuated Loss of Freshwater Mussels Alters Ecosystem Function Across Temporal Scales.docx by Traci P. DuBose (6995480)

DataSheet_1_Effects of osteoblast-derived extracellular vesicles on aggressiveness, redox status and mitochondrial bioenergetics of MNNG/HOS osteosarcoma cells.pdf by Marco Ponzetti (14216126)

“…In summary, our findings suggest that OB-EVs could serve as important means through which TME and osteosarcoma core cross-communicate. …”

Limbic Justice—Amygdala Involvement in Immediate Rejection in the Ultimatum Game by Katarina Gospic (222248)

Table4_Integrative analysis of the lncRNA-miRNA-mRNA interactions in smooth muscle cell phenotypic transitions.XLSX by Aatish Mahajan (18336474)

“…Finally, we found that many of the downregulated miRNAs were associated with cell migration, including miR-196a-1 and miR-10a, targets of upregulated ENSMUST00000140952, and miR-155 and miR-122, targets of upregulated ENSMUST00000155531. …”

Table3_Integrative analysis of the lncRNA-miRNA-mRNA interactions in smooth muscle cell phenotypic transitions.XLS by Aatish Mahajan (18336474)

“…Finally, we found that many of the downregulated miRNAs were associated with cell migration, including miR-196a-1 and miR-10a, targets of upregulated ENSMUST00000140952, and miR-155 and miR-122, targets of upregulated ENSMUST00000155531. …”

DataSheet1_Integrative analysis of the lncRNA-miRNA-mRNA interactions in smooth muscle cell phenotypic transitions.PDF by Aatish Mahajan (18336474)

“…Finally, we found that many of the downregulated miRNAs were associated with cell migration, including miR-196a-1 and miR-10a, targets of upregulated ENSMUST00000140952, and miR-155 and miR-122, targets of upregulated ENSMUST00000155531. …”

Table2_Integrative analysis of the lncRNA-miRNA-mRNA interactions in smooth muscle cell phenotypic transitions.XLS by Aatish Mahajan (18336474)

“…Finally, we found that many of the downregulated miRNAs were associated with cell migration, including miR-196a-1 and miR-10a, targets of upregulated ENSMUST00000140952, and miR-155 and miR-122, targets of upregulated ENSMUST00000155531. …”

Table1_Integrative analysis of the lncRNA-miRNA-mRNA interactions in smooth muscle cell phenotypic transitions.XLSX by Aatish Mahajan (18336474)

“…Finally, we found that many of the downregulated miRNAs were associated with cell migration, including miR-196a-1 and miR-10a, targets of upregulated ENSMUST00000140952, and miR-155 and miR-122, targets of upregulated ENSMUST00000155531. …”

Effects of Innexin knockdown with RNAi on the strength of the JON-GF connection. by Adeline P. Pézier (2600692)

“…For full genotypes see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152211#pone.0152211.s004" target="_blank">S1 Table</a>.…”

Effect of sparsifying the simulation data. by Matteo Tiberti (167837)

Network-level expression heterogeneity across tumor grades. by Chunjing Wang (469910)

“…<p><b>A)</b> Global trend of network regulation level decreases with increeasing grade. The vertical axis represents examined networks, while the horizontal axis represents five phenotypes. …”

Table_3_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)

Image_2_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.tif by William L. Poehlman (7598351)

Table_1_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)