DataSheet_4_Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carc... by Wenhao Xu (2302681)

“…Besides, immunohistochemistry staining showed significantly elevated RBCK1 expression in tumors (n = 50) compared with kidney samples (n = 40) from a real-world cohort, Fudan University Shanghai Cancer Center (FUSCC, Shanghai). …”

DataSheet_10_Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Car... by Wenhao Xu (2302681)

“…Besides, immunohistochemistry staining showed significantly elevated RBCK1 expression in tumors (n = 50) compared with kidney samples (n = 40) from a real-world cohort, Fudan University Shanghai Cancer Center (FUSCC, Shanghai). …”

DataSheet_8_Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carc... by Wenhao Xu (2302681)

“…Besides, immunohistochemistry staining showed significantly elevated RBCK1 expression in tumors (n = 50) compared with kidney samples (n = 40) from a real-world cohort, Fudan University Shanghai Cancer Center (FUSCC, Shanghai). …”

DataSheet_3_Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carc... by Wenhao Xu (2302681)

“…Besides, immunohistochemistry staining showed significantly elevated RBCK1 expression in tumors (n = 50) compared with kidney samples (n = 40) from a real-world cohort, Fudan University Shanghai Cancer Center (FUSCC, Shanghai). …”

DataSheet_5_Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carc... by Wenhao Xu (2302681)

“…Besides, immunohistochemistry staining showed significantly elevated RBCK1 expression in tumors (n = 50) compared with kidney samples (n = 40) from a real-world cohort, Fudan University Shanghai Cancer Center (FUSCC, Shanghai). …”

Biomarker Benchmark - GSE37199 by Anna Guyer (1390293)

“…LPD 1 membership remained the strongest prognostic factor in a multivariate analysis (HR 5.0, CI-95% 2.1-11.9, p=0.0002). …”

Nkx1.2 mediates FGF-dependent FP competence. by Noriaki Sasai (217813)

“…The complete list of Group A and Group B is available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001907#pbio.1001907.s010" target="_blank">Table S2</a>. …”

Rae1 feeds back to stabilize Warts, Hippo, and Merlin. by Maryam Jahanshahi (474646)

“…<p>(A) FLAG-Rae1 over-expression shows a dose-dependent increase in myc-Wts levels in S2 cells. …”

Table_2_Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome.DOCX by Harshit Singh (6724346)

“…Compared to baseline, TSA treatment increased mRNA levels of P-gp and MRP-1 (fold change 7.51, 7.31, ^*p < 0.0001 in SRNS) and (fold change 3.49, 3.35, ^*p < 0.0001 in SSNS), respectively. It significantly decreased the level of HDAC2 (fold change 1.50, ^*p < 0.0001 in SRNS) (fold change 2.53, ^*p < 0.0001 in SSNS) patients.…”

Table_1_Reciprocal Relationship Between HDAC2 and P-Glycoprotein/MRP-1 and Their Role in Steroid Resistance in Childhood Nephrotic Syndrome.DOCX by Harshit Singh (6724346)

“…Compared to baseline, TSA treatment increased mRNA levels of P-gp and MRP-1 (fold change 7.51, 7.31, ^*p < 0.0001 in SRNS) and (fold change 3.49, 3.35, ^*p < 0.0001 in SSNS), respectively. It significantly decreased the level of HDAC2 (fold change 1.50, ^*p < 0.0001 in SRNS) (fold change 2.53, ^*p < 0.0001 in SSNS) patients.…”

Data_Sheet_1_Burden and trends of stroke attributable to dietary risk factors from 1990 to 2019 in the Belt and Road Initiative countries: an analysis from the global burden of dis... by Yue Zhang (30585)

“…The ASR of DALYs for diet-induced stroke decreased greater in females than in males. For those aged 50–74, the DALYs for stroke due to dietary risk factors in all other member countries of the “B&R” showed a decreasing trend, except for the Philippines, which rose (AAPC = 2.13, 95%CI: 1.40–2.87%) and Turkmenistan, which remained stable (AAPC = 0.05, 95%CI: −0.43–0.33%).…”

Table_1_Impact of foliar application of syringic acid on tomato (Solanum lycopersicum L.) under heavy metal stress-insights into nutrient uptake, redox homeostasis, oxidative stres... by Jing Ma (24574)

“…Results from the present study showed that the increasing levels of Pb in the soil decreased non-significantly (P < 0.05) shoot length, root length, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, chlorophyll-a, chlorophyll-b, total chlorophyll, carotenoid content, net photosynthesis, stomatal conductance, transpiration rate, soluble sugar, reducing sugar, non-reducing sugar contents, calcium (Ca²⁺), magnesium (Mg²⁺), iron (Fe²⁺), and phosphorus (P) contents in the roots and shoots of the plants. …”

Sleep Duration and Cancer in the NIH-AARP Diet and Health Study Cohort by Fangyi Gu (266663)

“…A decreased ovarian cancer risk (HR_{≥ 9 vs. 7–8 hours} = 0.50; 95%CI:0.26–0.97) and an increased NHL risk (HR_{≥ 9 vs. 7–8 hours} = 1.45; 95%CI:1.00–2.11) were observed among long sleepers.…”

Table 4_Global, regional, and national temporal trends in prevalence, deaths and disability-adjusted life years for chronic pulmonary disease, 1990–2021: an age-period-cohort analy... by Wubing Cao (20821589)

“…However, age-standardized deaths and DALYs significantly decreased across all five SDI regions. From an age effect perspective, globally, over 50% of COPD prevalence is concentrated among individuals aged 65 years and older, particularly in middle, low-middle, and high-middle SDI regions. …”

Supplementary file 1_Global, regional, and national temporal trends in prevalence, deaths and disability-adjusted life years for chronic pulmonary disease, 1990–2021: an age-period... by Wubing Cao (20821589)

“…However, age-standardized deaths and DALYs significantly decreased across all five SDI regions. From an age effect perspective, globally, over 50% of COPD prevalence is concentrated among individuals aged 65 years and older, particularly in middle, low-middle, and high-middle SDI regions. …”

Table 2_Global, regional, and national temporal trends in prevalence, deaths and disability-adjusted life years for chronic pulmonary disease, 1990–2021: an age-period-cohort analy... by Wubing Cao (20821589)

“…However, age-standardized deaths and DALYs significantly decreased across all five SDI regions. From an age effect perspective, globally, over 50% of COPD prevalence is concentrated among individuals aged 65 years and older, particularly in middle, low-middle, and high-middle SDI regions. …”

Table 1_Global, regional, and national temporal trends in prevalence, deaths and disability-adjusted life years for chronic pulmonary disease, 1990–2021: an age-period-cohort analy... by Wubing Cao (20821589)

“…However, age-standardized deaths and DALYs significantly decreased across all five SDI regions. From an age effect perspective, globally, over 50% of COPD prevalence is concentrated among individuals aged 65 years and older, particularly in middle, low-middle, and high-middle SDI regions. …”

USUV replicates in STAT1-sufficient peripheral tissues leading to spleen and liver pathology. by Amy N. Nelson (21763146)

“…<b>(H)</b> Immunostaining of liver tissue harvested from a <i>Stat1</i>^-/- mouse using the histiocyte marker CD68, anti-JEV NS3 to mark USUV infection, and DAPI with a 50 µm scale bar. …”

Table 3_Global, regional, and national temporal trends in prevalence, deaths and disability-adjusted life years for chronic pulmonary disease, 1990–2021: an age-period-cohort analy... by Wubing Cao (20821589)

“…However, age-standardized deaths and DALYs significantly decreased across all five SDI regions. From an age effect perspective, globally, over 50% of COPD prevalence is concentrated among individuals aged 65 years and older, particularly in middle, low-middle, and high-middle SDI regions. …”

Determination of whole genome attractors for atRA and DMSO responses. by Masa Tsuchiya (78226)

“…<p>Temporal probability distributions of (A) <i>r_v</i> and (B) <i>I</i> for atRA (upper panel) and DMSO (lower panel) for <i>n</i> = 10, 50, 200 genes randomly selected from whole genome. …”