Results 141 to 150 of about 3,651,834 (302)

Differentially expressed genes.

open access: yes, 2016
Scatter plots showing the pairwise comparisons of microRNA (A) and mRNA (B) expression profiles. Color dots indicates the differentially expressed genes.
Hewei Men (849132)   +11 more
core   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

open access: yesMolecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim   +7 more
wiley   +1 more source

Identification of overlay differentially expressed genes in both rats and goats with blast lung injury through comparative transcriptomics

open access: yesChinese Journal of Traumatology
Purpose: To identify the potential target genes of blast lung injury (BLI) for the diagnosis and treatment. Methods: This is an experimental study. The BLI models in rats and goats were established by conducting a fuel-air explosive power test in an ...
Hong Wang   +7 more
doaj   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

open access: yesMolecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic   +10 more
wiley   +1 more source

Effect sizes for differentially expressed genes.

open access: yes, 2014
Boxplots of absolute Log2(fold-change) between knockdown arrays and control arrays for all genes identified as differentially expressed in each experiment. Outliers are not plotted.
Jonathan K. Pritchard (113911)   +3 more
core   +1 more source

Corrigendum: Identification of key endometrial microRNAs and their target genes associated with pathogenesis of recurrent implantation failure by integrated bioinformatics analysis

open access: yesFrontiers in Genetics, 2022
Jin Shang   +9 more
doaj   +1 more source

Identification of novel biomarkers for lupus nephritis

open access: yesBiomolecules & Biomedicine
Lupus nephritis (LN) is an autoimmune disease that rapidly progresses as a secondary consequence of systemic lupus erythematosus (SLE) and has a very poor prognosis. Therefore, this study aimed to identify characteristics of immune cell infiltration and
Zhengyue Liao   +8 more
doaj   +1 more source

Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy

open access: yesMolecular Oncology, EarlyView.
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen   +19 more
wiley   +1 more source

Identification of key genes associated with cervical cancer based on bioinformatics analysis

open access: yesBMC Cancer
Background Cervical cancer has extremely high morbidity and mortality, and its pathogenesis is still in the exploratory stage. This study aimed to screen and identify differentially expressed genes (DEGs) related to cervical cancer through bioinformatics
Xinmeng Yang   +5 more
doaj   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani   +9 more
wiley   +1 more source

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