Data_Sheet_6_P16INK4a Deletion Ameliorates Damage of Intestinal Epithelial Barrier and Microbial Dysbiosis in a Stress-Induced Premature Senescence Model of Bmi-1 Deficiency.docx by Jiawen Zhou (2323381)

Data_Sheet_2_P16INK4a Deletion Ameliorates Damage of Intestinal Epithelial Barrier and Microbial Dysbiosis in a Stress-Induced Premature Senescence Model of Bmi-1 Deficiency.docx by Jiawen Zhou (2323381)

Data_Sheet_5_P16INK4a Deletion Ameliorates Damage of Intestinal Epithelial Barrier and Microbial Dysbiosis in a Stress-Induced Premature Senescence Model of Bmi-1 Deficiency.docx by Jiawen Zhou (2323381)

SWR-associated increase in neuronal firing rates is weakened in APP/PS1 mice in both dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

“…(M) In vCA1, the SWR log₁₀(modulation index) was significantly decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 3.50 ± 1.49, APP/PS1 = 2.28 ± 1.70 Hz, p < 10⁻⁶, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 689 neurons, n_APP/PS1 = 651 neurons).…”

WT, <i>Irf3^−/−×Irf7^−/−</i> DKO, and <i>Irf3^−/−×Irf5^−/−×Irf7^−/−</i> TKO immortalized MEFs were transfected with plasmids expre... by Helen M. Lazear (106036)

“…Expression of N-RIG and IRF-5 was decreased slightly upon co-transfection, likely secondary to promoter competition. …”

Protection from R5- and X4- tropic HIV-1-mediated CD4⁺ T-cell loss in hu-BLT mice by Dual sh1005/sh516. by Gene-Errol E. Ringpis (106558)

“…Open circles: mCherry-marked. Error bars: mean + SEM in n = 5 and n = 4 for HIV-1_NFNSX- and HIV-1_NL4-3- infected mice, respectively. …”

Effect of Na_V1.1 epileptogenic mutations on the firing of GABAergic neurons: Input-output relationship and action potential amplitude. by Louisiane Lemaire (5044049)

“…<b>B₄</b>: Mean peak amplitude (absolute value) of the first suprathreshold action potential for fast spiking neurons recorded from <i>Scn1a</i>^+/- (22.6 ± 1.5 mV, <i>n</i> = 7) and wild type littermates (28.7 ± 2.0 mV, <i>n</i> = 7); <i>p</i> = 0.044 Mann-Whitney test. * <i>p</i> < 0.05.…”

Demographic characteristics. by Geoffrey Kangogo (15412205)

“…The mean age was 31.7y (SD: 11.9) and nearly 40% (2,474/6,297) could not read or write. …”

The effects of antibiotic exposure on the development of the skin microbiome. by Mohan Pammi (3822313)

Different calculated values for indication of resistance for each combination of mutant and inhibitor against IRP. by J. Roadnight Sheehan (20141887)

Observed secondary structure content for some LCDs systematically deviates from secondary structure propensity scales. by Sean M. Cascarina (8363391)

<i>S</i>. Typhimurium coordinates protein synthesis with protein folding capacity. by Carissa Chan (18310140)

In presence of <i>LdCen^-/-</i>, neutrophils produce increased CCL3 which chemo-attracts higher bone marrow-derived DCs compared to <i>LdWT</i> infection <i>in vitro</i>. by Parna Bhattacharya (316881)

Olfactory function test graphical summary and results. by Myeongguk Jeong (16386165)

Treatment of cancer cells with vitamin D3 induced death <i>a.</i> by Vidya G. Bettada (22208808)

Data_Sheet_5_A 41-Gene Pair Signature for Predicting the Pathological Response of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiation.XLSX by Zhengfa Xue (11429614)

Table_1_Distribution and potential risk factors of bisphenol a in serum and urine among Chinese from 2004 to 2019.docx by Wenjing Zhang (246857)

“…Background<p>Bisphenol A (BPA) is an oil-derived, large-market volume chemical with endocrine disrupting properties and reproductive toxicity. …”

Table_1_Distribution and potential risk factors of bisphenol a in serum and urine among Chinese from 2004 to 2019.docx by Wenjing Zhang (246857)

“…Background<p>Bisphenol A (BPA) is an oil-derived, large-market volume chemical with endocrine disrupting properties and reproductive toxicity. …”

Forecasting severe grape downy mildew attacks using machine learning by Mathilde Chen (8566473)

“…Reducing the number of treatments is a major issue from both an environmental and a public health point of view. …”

Longitudinal and site-specific development of the cutaneous microbiome in preterm and term infants. by Mohan Pammi (3822313)

“…Term infants were sampled at 2 time points (birth and between 2–3 weeks of age) and preterm infants every week from birth for 5 time-points. For each skin site, the number of OTUs and Shannon diversity index in preterm infants decreased between week 1 and week 2, and then increased over time until week 5. …”