Quantitative analysis. by Miao Cheng (4348510)

“…ELISA results revealed that the levels of key inflammatory cytokines (TNF-α, IL-1β, IL-17 and IL-23) were significantly elevated in the LPS-treated model group (<i>P</i><0.0001, <i>P</i><0.001), but these levels were significantly decreased after NMRAL1 siRNA transfection (<i>P</i><0.0001, <i>P</i><0.01, <i>P</i><0.05).…”

Protein-protein interaction network of upregulated genes in the <i>Acinetobacter baumannii smpB</i> mutant. by Techit Thavorasak (13138440)

Quantitative Proteomics Unveils the Synergistic Effects of Combination Drugs on Cytoskeleton Composition and Autophagy-Mediated Cell Death in Neuroblastoma by Pei-Chen Yu (1860772)

“…Gene set enrichment analysis and Database for Annotation, Visualization, and Integrated Discovery revealed that combination therapy significantly decreased cytoskeleton formation compared with monotherapy, reflecting dramatic reduction in cell migration. …”

PPI network analysis. by Du Leng (20421711)

Table 1_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.xls by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Table 3_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.docx by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Table 4_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.xlsx by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Table 2_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.xls by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Table 5_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.docx by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Image 1_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.tif by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Table 6_Lignocellulose adaptation drives polysaccharide biosynthesis in Tremella fuciformis: metabolomic and proteomic insights into CAZyme regulation.xls by Yingyin Xu (10507772)

“…The polysaccharide content of T. fuciformis grown on a Cyclobalanopsis substrate (TY3) was significantly higher than those grown on a mixed substrate (TF1) made of wheat bran and cottonseed hull.…”

Table 1_Proteomic insights into COPD pathogenesis and therapeutic targets: a causal analysis of circulating proteins.docx by Min Luo (258201)

“…</p>Methods<p>Using a large proteomics database and a public dataset of 394,244 samples (21,617 COPD cases and 372,627 controls), 4,907 proteins were associated with COPD. …”

PRMT5 isoforms during zebrafish developmental stages by Zain Zakaria (20354028)

Graphical overview of study. by Brian Foo (19273132)

Figure 2 from mTORC1-Driven Protein Translation Correlates with Clinical Benefit of Capivasertib within a Genetically Preselected Cohort of <i>PIK3CA</i>-Altered Tumors by Constance A. Sobsey (19373550)

“…Node size increases as the <i>P</i>-value decreases. <b>B,</b> Top 20 canonical pathways that are significantly differentially activated between clinical benefit (CB) and no clinical benefit (NCB) groups, based on assessment with Fisher’s exact test in Qiagen IPA. …”

DataSheet2_Dissecting the importance and origin of circulating myokines in gastric cancer cachexia.docx by Marek Sierzega (3846406)

“…A panel of 19 myokines was measured in portal and peripheral blood as well as tumour tissue and surrounding gastric mucosa. Moreover, a serum proteomic signature of cachexia was identified by a label-free quantitative proteomics with a nano LC-MS/MS system and stored in a ProteomeXchange database (PXD049334).…”

DataSheet3_Dissecting the importance and origin of circulating myokines in gastric cancer cachexia.xlsx by Marek Sierzega (3846406)

“…A panel of 19 myokines was measured in portal and peripheral blood as well as tumour tissue and surrounding gastric mucosa. Moreover, a serum proteomic signature of cachexia was identified by a label-free quantitative proteomics with a nano LC-MS/MS system and stored in a ProteomeXchange database (PXD049334).…”

DataSheet1_Dissecting the importance and origin of circulating myokines in gastric cancer cachexia.docx by Marek Sierzega (3846406)

“…A panel of 19 myokines was measured in portal and peripheral blood as well as tumour tissue and surrounding gastric mucosa. Moreover, a serum proteomic signature of cachexia was identified by a label-free quantitative proteomics with a nano LC-MS/MS system and stored in a ProteomeXchange database (PXD049334).…”

FLEXI interactions with RNA-binding proteins. by Jun Yao (9646)

“…[<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.ref041" target="_blank">41</a>] and annotations in the RNA Granule and Mammalian Stress Granules Proteome (MSGP) databases [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.ref042" target="_blank">42</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.ref043" target="_blank">43</a>], and those for AGO1-4 and DICER were based on the UniProt database (<a href="https://www.uniprot.org/" target="_blank">https://www.uniprot.org</a>) and references [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.ref044" target="_blank">44</a>–<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1011416#pgen.1011416.ref048" target="_blank">48</a>]. …”