Results 81 to 90 of about 280,000 (306)

Supplementary methods for IPAM and buoyant weight, relative risk analysis, 16S library preparation, transcriptomic pre-processing bioinformatic pipeline, 16S rRNA pre-processing bioinformatic pipeline.

, 2023
Supplementary methods for IPAM and buoyant weight, relative risk analysis, 16S library preparation, transcriptomic pre-processing bioinformatic pipeline, 16S rRNA pre-processing bioinformatic pipeline.
Amelia Moura (11552319), Nathan Formel (14102673), Nikki Traylor-Knowles (258632), Benjamin D. Young (9553231), Graham Kolodziej (3145896), Stephanie M. Rosales (8750769), Gabrielle L. D’Alonso (15910160), Ian C. Enochs (8063081)   +7 more
core   +1 more source

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

Molecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi, Tuan Khang Huynh, Adway Kadam, Zahra Kardan, Yue Yan, Amina Jamal Laham, Sampath Kumar Loganathan   +6 more
wiley   +1 more source

Elucidation of the mechanism of action of ailanthone in the treatment of colorectal cancer: integration of network pharmacology, bioinformatics analysis and experimental validation

Frontiers in Pharmacology
Background: Ailanthone, a small compound derived from the bark of Ailanthus altissima (Mill.) Swingle, has several anti-tumour properties. However, the activity and mechanism of ailanthone in colorectal cancer (CRC) remain to be investigated.
Shanbo Ma, Xiaodi Guo, Ruisi Han, Qian Meng, Yan Zhang, Wei Quan, Shan Miao, Zhao Yang, Xiaopeng Shi, Siwang Wang   +9 more
doaj   +1 more source

Bioinformatic data sets and consensus Kozak sequences.

, 2014
Bioinformatic data sets and consensus Kozak sequences.
Amy Robbins (633039), Alon Kahana (197271), Steven J. Grzegorski (633037), Estelle F. Chiari (633038), Phillip E. Kish (197257)   +4 more
core   +1 more source

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

Molecular 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, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Bioinformatic analysis of metabarcoding data using DADA2 - Theoretical part

The presentation, delivered during the BIOLAWEB Virtual Training in May-June 2024, provides a comprehensive theoretical foundation for understanding bioinformatic workflows in DNA metabarcoding.BIOLAWEB Virtual training - Bioinformatic (May-June ...
Lemonnier, Clarisse
core   +2 more sources

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

Identification and validation of diagnostic genes associated with neutrophil extracellular traps of type 2 diabetes mellitus

Frontiers in Genetics
BackgroundNeutrophil extracellular traps (NETs) cause delayed wound closed up in type 2 diabetes mellitus (T2DM), but the specific regulatory mechanism of NETs-related genes (NETs-RGs) in T2DM is unclear.MethodsWe acquired GSE21321 and GSE15932 datasets ...
Meifang He, Jin Niu, Haihua Cheng, Chaoying Guo   +3 more
doaj   +1 more source

Genome-wide analysis of the WRKY gene family and its response to abiotic stress in buckwheat (Fagopyrum tataricum)

Open Life Sciences, 2019
The WRKY gene family is an ancient plant transcription factor (TF) family with a vital role in plant growth and development, especially in response to biotic and abiotic stresses. Although many researchers have studied WRKY TFs in numerous plant species,
He Xia, Li Jing-jian, Chen Yuan, Yang Jia-qi, Chen Xiao-yang   +4 more
doaj   +1 more source

Bioinformatic analysis of Apolygus lucorum PGs.

, 2016
Bioinformatic analysis of Apolygus lucorum PGs.
Kongming Wu (95075), Lili Zhang (120447), Pengjun Xu (478144), Gemei Liang (2212984), Yanhui Lu (332793), Yongjun Zhang (124423), Haijun Xiao (2212987)   +6 more
core   +1 more source