Tcj2 mRNA LNPs elicited humoral and cellular immune responses in a mouse immunogenicity study. by Leroy Versteeg (4248760)

Valve closing capability and hemolymph flow analysis. by Christian Meyer (6035)

“…A region of interest (ROI 1) is set anteriorly to cardiac valves. Pixel intensity in ROI 1 increases if hemolymph packages pass and decreases, if valves close after each heartbeat, respectively. …”

Performance of different methods for controlling confounding in Felsenstein’s worst case. by Joshua G. Schraiber (8027060)

Atg14 plays a cell-intrinsic role in orchestrating eTreg survival but not terminal differentiation. by Erienne G. Norton (9612079)

“…Jun/Fos transcription factors with predicted decreased activity in Atg14-deficient versus control eTregs are labeled. …”

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

“…See also <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003074#pbio.3003074.s017" target="_blank">S9 Table</a>. 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. …”

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. Data are compiled from 15 (<b>A</b>, <b>F</b>), 12 (<b>B</b>), 5 (<b>C</b>, <b>G</b>, <b>I</b>), 6 (<b>D</b>, lung and liver; <b>H</b>), or 2 (<b>D</b>, colon LP) independent experiments. …”

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

G1 cell cycle arrest and sub-G1 population induced by bortezomib/venetoclax were stronger in sLCL expressing BHRF-1, EBNA-3C, LMP-1 and NOXA. by Kam Pui Tam (19746865)

Effect of ibuprofen (IBU) on carbonic anhydrase IX (CA IX) expression. by Katarina Grossmannova (7543517)

“…Control samples treated with DMSO for 24 hours were set to 1. Significance of differences was assessed by two-way ANOVA with Tukey´s multiple comparisons tests. …”

Effect of ibuprofen (IBU) on COX-2 expression. by Katarina Grossmannova (7543517)

“…Control samples treated with DMSO for 24 hours were set to 1. Significance of differences was assessed by two-way ANOVA with Tukey´s multiple comparisons tests. …”

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Mask R-CNN training loss graph. by Dennis Dennis (20490126)

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

“…Use of one-back strategy parameters changed significantly across sessions for male mice with (C) S1 “Inappropriate Lose Shift” decreasing across sessions, <i>p</i> = 0.01 (D) S2 = S4 “Stimulus Insensitive Win Stay” increasing, <i>p</i> = 0.009 and (E) S3 “Inappropriate Lose Stay” decreasing, <i>p</i> < 0.0001. …”

Top predictive variables for KDIGO stage ≥ 3 identified by the final Random Forest model. by Julian Müller-Kühnle (22265248)

Dataset. by Nathan Mubiru (21627195)

“…In contrast, samples collected in plain serum tubes kept at room temperature and uncentrifuged, C-peptide and insulin levels decreased significantly to 51% (p = 0.006) and 62% (p = 0. 083) respectively, similarly insulin levels for centrifuged samples declined to 64% (p = 0.083). …”

Functional iKIR do not consistently modify detrimental genotypes. by Laura Mora-Bitria (20477525)

TAD boundary stability for different noise amplitudes for all chromosomes. by Lucas Hedström (21688891)