Mean concentrations of sum sesquiterpenes and single sesquiterpenes: β-caryophyllene, α-humulene, δ-selinene, γ-cadinene, δ-cadinene, nerolidol, maaliol, germacrene D-4-ol, spathul... by Valtcho D. Zheljazkov (627617)

Activation of HilD abrogates swimming motility. by Doaa Osama Saleh (16353149)

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)

Frequency-compensated oscillator with background compensation by coherent feedback based on derepression motif m8 in the inner <i>A</i>-<i>e</i>-<i>E</i>-<i>A</i> negative feedback... by Melissa Nygård (15374507)

Subjects:

Light adaptation of an on-center ganglion cell in the cat retina (redrawn from Fig 8, Ref [8]). by Melissa Nygård (15374507)

Subjects:

Frequency-compensated oscillator with background compensation by coherent feedback. by Melissa Nygård (15374507)

Subjects:

Same scheme as Fig 4a, but to facilitate a non-oscillatory homeostat all <i>A</i>-removing reactions are changed to first-order kinetics with respect to <i>A</i>. by Melissa Nygård (15374507)

Subjects:

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

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). …”

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. …”

Image6_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. …”