Image2_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.jpg by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Table6_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.xls by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Table1_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.csv by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Image1_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.jpg by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Table12_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.xls by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

DataSheet4_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.csv by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Table4_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.xls by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

DataSheet3_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.csv by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Presentation1_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.pptx by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Table7_Single-cell RNA sequencing analysis identifies acute changes in the tumor microenvironment induced by interferon α gene therapy in a murine bladder cancer model.csv by Alexis R. Steinmetz (18573319)

“…Within the specific cell clusters, IPA analysis revealed significant differences between muAd-Ifnα and control. …”

Table 1_Psychological interventions mitigated occupational stress in high-risk workers in Shenzhen, China.xlsx by Naixing Zhang (308515)

“…After 2 years of intervention, the occupational stress detection rate decreased significantly to 47.82% (P < 0.001), while the high social support rate (19.68%) showed no significant change. …”

多杀性巴氏杆菌流行过程中水平基因转移对其毒力与耐药的影响-附录.xlsx by He Jiao (19924953)

“…This indicates that the highly virulent phenotype of PM is not a monogenic factor but rather a result of the collective interaction of a unique gene cluster specific to this host source. Consequently, the deletion of A0R64_02365, a unique HGT-sourced gene in the hypervirulent poultry-sourced PM DY120818, triggers significant transcriptional changes in a cluster of protease genes specific to this virulence phenotype. …”

Image 1_Genomic characterization and antibiotic susceptibility of biofilm-forming Borrelia afzelii and Borrelia garinii from patients with erythema migrans.tiff by Giorgia Fabrizio (19022288)

“…</p>Results<p>Phylogenetic analysis revealed B. afzelii and B. garinii formed distinct clades, while B. burgdorferi B31 clustered separately. Core genome analysis showed 38.9% of genes were shared between B. afzelii and B. garinii, decreasing to 26.1% with B. burgdorferi. …”

Table 1_Genomic characterization and antibiotic susceptibility of biofilm-forming Borrelia afzelii and Borrelia garinii from patients with erythema migrans.pdf by Giorgia Fabrizio (19022288)

“…</p>Results<p>Phylogenetic analysis revealed B. afzelii and B. garinii formed distinct clades, while B. burgdorferi B31 clustered separately. Core genome analysis showed 38.9% of genes were shared between B. afzelii and B. garinii, decreasing to 26.1% with B. burgdorferi. …”

Table 2_Genomic characterization and antibiotic susceptibility of biofilm-forming Borrelia afzelii and Borrelia garinii from patients with erythema migrans.pdf by Giorgia Fabrizio (19022288)

“…</p>Results<p>Phylogenetic analysis revealed B. afzelii and B. garinii formed distinct clades, while B. burgdorferi B31 clustered separately. Core genome analysis showed 38.9% of genes were shared between B. afzelii and B. garinii, decreasing to 26.1% with B. burgdorferi. …”

<i>Streptococcus suis</i> serotype 5: Emerging zoonotic threat with distinct genomic heterogeneity by Xiyan Zhang (5680457)

“…<p><i>Streptococcus suis</i> is a significant pig pathogen and an emerging zoonotic agent. …”

AgTL2 embryos have altered lipids, metabolites, and transcriptional profiles during development. by Maurice A. Itoe (9930475)

“…(C) Heatmap of metabolites analyzed by LC-MS showing levels of the 60 most highly dysregulated metabolites in AgTL2 embryos compared to controls throughout development (values of <i>t</i> test statistic, range: blue to red = significant decrease to increase) (3 biological replicates represented by triplicate columns at each time point). …”

Figure 3 from A Proteomic Signature for Human Papillomavirus–Associated Oropharyngeal Squamous Cell Carcinoma Predicts Patients at High Risk of Recurrence by Christopher C. Jackson (21027397)

“…Axes show FC > 1.5 and adjusted <i>P</i> value (adj. P Val) < 0.01. Significantly DAPeps are indicated in red (increased in R) or blue color (decreased in R). …”

Figure 2 from Distant Metastases of Breast Cancer Resemble Primary Tumors in Cancer Cell Composition but Differ in Immune Cell Phenotypes by Laura Kuett (20493991)

“…Circles display significantly enriched (red) or decreased (blue; FDR < 0.05; multiple testing correction with the Benjamin–Hochberg method) results, with size indicating the log-transformed fold change.…”

Coherence of SCN metabolic pathways changes during development. by Martin Sládek (130663)

“…<b>(D)</b> Chord plots showing highly significant (<i>P</i> < 0.001) positive correlations (with the number of individual correlations illustrated by the thickness of a ribbon) between polar metabolites and individual lipids clustered to major classes within the developing SCN. …”