Bacterial phylotypes in the large intestine whose population level decreased upon PG-administration. by Krisana Asano (11286)

“…Asterisks *, ** and *** indicate bacterial phylotypes having <i>P</i> values less than 0.05 in 3, 4 and 5 groups, respectively. #: Bacteria whose population level also increased in the small intestine (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075008#pone-0075008-g003" target="_blank">Figure 3</a>), §: saccharolytic bacteria, †: short-chain fatty acids-producing bacteria, ‡: bacteria with immunomodulatory effect, ¶: asaccharolytic bacteria, ▲: disease-associated bacteria.…”

Absence or antagonism of TWEAK decreases RelB and p52 nuclear translocacion in AKI. by Ana B. Sanz (367453)

“…<p>AKI was induced by a single folic acid overdose. This model is characterized by increased renal tubular expression of TWEAK and Fn14 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0008955#pone.0008955-Sanz1" target="_blank">[9]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0008955#pone.0008955-Justo2" target="_blank">[10]</a>. …”

Jurkat and HeLa survival decreases with increasing electric field amplitude and pulse number. by Bennett L. Ibey (357053)

Peptide-conjugated phosphodiamidate oligomer-mediated exon skipping has benefits for cardiac function in <i>mdx</i> and <i>Cmah-/-mdx</i> mouse models of Duchenne muscular dystroph... by Alison M. Blain (5409806)

Repeated evolution of uniparental reproduction in <i>Sellaphora</i> (Bacillariophyceae) by Aloisie Poulíčková (155432)

Compound 49b can overcome ischemia/reperfusion-induced decreases in retinal thickness. by Li Liu (75607)

Decreased mTEC to cTEC ratios in the absence of mTORC1/Raptor. by Hong-Xia Wang (288934)

Suppression of Beclin-1 by shRNA decreases tumor growth <i>in vivo</i>. by Xing-guo Zhao (731536)

Mutation of the genes encoding the SpuDEFGH transporter decreased the expression of T3SS genes. by Lian Zhou (272766)

SPRY4 transcript decreases for IDCs compared to normal tissue in the TCGA Breast dataset. by Ethan J. Brock (10892372)

“…<p>Data mining of the TCGA Breast dataset revealed a 1.53-fold decrease in SPRY4 mRNA expression in IDCs (n = 389) compared to non-cancerous breast tissue (n = 61). …”

Ang 1–7 decreased tunicamycin-stimulated ER stress and improved NO bioavailability in HUVECS. by Dharmani Murugan (841819)

LDLR degradation induced by PCSK9 GOF mutants is decreased by their co-expression with Fcpro. by Yascara Grisel Luna Saavedra (444344)

Lowest proportion of subjects in a latent class for complete dataset. by Clarence Tee (14486026)

Image8_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”

Image10_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”

Table1_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.DOCX by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”

Image9_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”

Image12_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”

Image4_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”

Image7_Repression of enhancer RNA PHLDA1 promotes tumorigenesis and progression of Ewing sarcoma via decreasing infiltrating T‐lymphocytes: A bioinformatic analysis.TIF by Runzhi Huang (7428713)

“…External validation based on multidimensional online databases and scRNA-seq analysis were used to verify our key findings.</p><p>Results: A six-different-dimension regulatory network was constructed based on 17 DEeRNAs, 29 DETFs, 9 DETGs, 5 immune cells, 24 immune gene sets, and 8 hallmarks of cancer. …”