Volcano plot showing the results of the RESP contrast for the peripheral blood mononuclear cell (PBMC) samples at 34 days post-infection (dpi). by Gillian P. McHugo (8965919)

“…The top 10 most significant genes for increased and decreased expression with gene symbols are labelled.…”

MoCA scores distribution and audiometry results for participants. by Elena Bolt (20396190)

Contribution of changes in population aging, population growth, and age-specific incidence rate to changes in incident cases of LC from 2004 to 2018 in China. by Ze-Xing Zhang (18074512)

Speech material modulation spectrum and behavioral speech recognition task results. by Elena Bolt (20396190)

Changes in circulating filarial antigen (CFA) prevalence and levels at years 1, 2, and 3 following the start of mass drug administration, with treatment given semiannually (2x/yr)... by Michael C. Payne (2664379)

Parapapillary choroidal microvasculature in eyes with myopia and glaucoma (inner/outer whole annulus PPCMv densities=  0.092/0.069), glaucoma without myopia (0.092/0.071), and myop... by Yanin Suwan (4752099)

Results of longitudinal analysis of mental health in HCWs. by A. H. Ayesha Lavell (16734002)

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. by A. H. Ayesha Lavell (16734002)

Podocyte numbers in control and iPLA₂γ KO mice (WT1-positive cells). by Andrey V. Cybulsky (4007012)

Control (Ctrl) STZ mice show changes in glomerular morphology. by Andrey V. Cybulsky (4007012)

STZ increases glomerular matrix expansion. by Andrey V. Cybulsky (4007012)

Primary data. by Andrey V. Cybulsky (4007012)

“…<div><p>Calcium-independent phospholipase A₂γ (iPLA₂γ) is localized in glomerular epithelial cells (GECs)/podocytes at the mitochondria and endoplasmic reticulum, and can mediate release of arachidonic acid and prostanoids. …”

Control (Ctrl) GECs are more susceptible to injury compared to iPLA₂γ KO GECs. by Andrey V. Cybulsky (4007012)

iPLA₂γ KO mice show increased glomerular autophagy. by Andrey V. Cybulsky (4007012)

“…LC3-II is increased significantly in untreated and STZ-treated iPLA₂γ KO mice compared to untreated and STZ-treated control. p62 is decreased significantly in STZ-treated iPLA₂γ KO mice. …”

KO of iPLA₂γ attenuates development of albuminuria in STZ-induced diabetic nephropathy. by Andrey V. Cybulsky (4007012)

DataSheet_1_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_2_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_3_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

DataSheet_4_RETRACTED: CCDC88A Post-Transcriptionally Regulates VEGF via miR-101 and Subsequently Regulates Hepatocellular Carcinoma.zip by Qiongying Hu (11060505)

“…Employment of GEPIA revealed the positive correlation between CCDC88A and VEGF in HCC, but not in liver tissue. Silencing of CCDC88A in Huh-7 and SK-HEP-1 cells significantly decreased proliferation, cell cycle phases, migration, invasion, colony formation, and tumor formation. …”

a, Anti-correlation of gene expression between <i>dmdR1</i> and its predicted regulon. Left: Pearson correlation coefficients (PCCs) between <i>dmdR1</i> and all genes with a DmdR1 position weight matrix (PWM) score greater than 15 in their regulatory region. The vertical dashed line marks the refined PWM score threshold of 22.875. The horizontal dotted lines mark PCC = ±0.43, corresponding to an adjusted <i>p</i>-value of 0.05. Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score.... by Hannah E. Augustijn (10773096)

“…Right: Target genes immediately downstream of a predicted DmdR1 binding site, ordered by decreasing PWM score. …”