Vps34 orchestrates Treg function in vivo. by Erienne G. Norton (9612079)

Vps34 supports Treg maintenance in lymphoid and non-lymphoid tissues. by Erienne G. Norton (9612079)

“…Two-tailed Student <i>t</i> test (<b>A</b>–<b>D</b>, <b>F</b>–<b>I</b>) or Benjamini–Hochberg test (<b>E</b>); NS, not significant. …”

Chromatin accessibility analysis of perinatal Vps34-deficient Tregs. by Erienne G. Norton (9612079)

“…AP-1-related transcription factors with predicted decreased activity are labeled. See also <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003074#pbio.3003074.s015" target="_blank">S7 Table</a>. …”

Loss of Vps34 reduces Treg suppressive function and is associated with the development of type-I-dominant inflammatory disease. by Erienne G. Norton (9612079)

Vps34 orchestrates transcriptional and epigenetic remodeling events corresponding to terminal eTreg differentiation during perinatal life. by Erienne G. Norton (9612079)

“…Data are shown as mean ± s.e.m. (<b>D</b>). Wilcoxon rank-sum test (<b>A</b>, <b>B</b>; <b>J</b>, right), Benjamini–Hochbert test (<b>C</b>), two-tailed Student <i>t</i> test (<b>D</b>, <b>I</b>), Fisher’s exact test (<b>F</b>–<b>H</b>), or bionomial test (<b>J</b>, left); NS, not significant. …”

Atg14 does not contribute to terminal eTreg generation during perinatal life. by Erienne G. Norton (9612079)

Analysis of Tregs from perinatal mice and mixed BM chimeras for transitional and terminal eTreg states. by Erienne G. Norton (9612079)

Uvrag in Tregs is dispensable for establishment of immune tolerance and eTreg accumulation. by Erienne G. Norton (9612079)

Targeting of Vps34 or Atg14, but not Uvrag, in Tregs reduces tumor growth in mouse models. by Erienne G. Norton (9612079)

Genes correlated with SARS-CoV-2 viral load over time are similarly expressed in independent datasets of SARS-CoV-2 infected lung and upper airway cells. by Vasanthi Avadhanula (259546)

Differential gene sets associated with the transcriptional host response to SARS-CoV-2 infection across serially collected samples. by Vasanthi Avadhanula (259546)

Differential expression patterns and functional gene groups associated with SARS-CoV-2 infection of nose organoids. by Vasanthi Avadhanula (259546)

“…<b>(c)</b> Similar to part b, but for genes decreased with SARS-CoV-2 infection. <b>(d)</b> Selected significantly enriched GO terms ⁴¹ within the genes over-expressed with SARS-CoV-2 infection in HNO204 (p<0.05, t-test). …”

Differential expression patterns and functional gene groups associated with SARS-CoV-2 viral load across serially collected samples. by Vasanthi Avadhanula (259546)

UpSet plot summarising key differentially expressed gene trends and Gene ontology analysis of differentially expressed genes present only in extremely high viral load group. by Vasanthi Avadhanula (259546)

S1 File - by Vasanthi Avadhanula (259546)

“…The human nose organoid-generated host transcriptional response captured many aspects of responses observed in the above patient samples, while suggesting the existence of distinct host responses to SARS-CoV-2 depending on the cellular context, involving both epithelial and cellular immune responses. Our findings provide a catalog of SARS-CoV-2 host response genes changing over time and magnitude of these host responses were significantly correlated to viral load.…”

Demographic characteristics of the matched groups with good quality RNA sequencing data. by Vasanthi Avadhanula (259546)

Event-free survival analysis of microvascular outcome. by Clemens Plattner (21567706)

Event-free survival analysis of macrovascular outcome. by Clemens Plattner (21567706)

Structure-Affinity-Pharmacokinetics Relationships of Novel ¹⁸F‑Labeled 1,4-Diazepane Derivatives for Orexin 1 Receptor Imaging by Yui Ishizaka (19922137)

“…In particular, BTF showed high and selective binding affinity for OX1R. In a biodistribution study using normal mice, [¹⁸F]­BTF exhibited brain uptake, and radioactivity in the brain was significantly decreased by preinjection of unlabeled BTF. …”

Volume distribution and sentiment of positive, negative, and neutral tweets. by Yuqi Zhang (286958)