Results 61 to 70 of about 13,010 (203)

Effect of m1A regulators on prognosis of colorectal cancer

open access: yes, 2023
Abstract Background Colorectal cancer (CRC) is one of the most serious public health problems. N1-methyladenosine modification appears to play a significant role in colorectal cancer development. Herein, we attempted to develop a prognostic prediction model to predict colorectal cancer prognosis using multiple m1A regulators and clinical ...
Yuqing Jin   +9 more
openaire   +1 more source

DataSheet1_RNA m1A Methyltransferase TRMT6 Predicts Poorer Prognosis and Promotes Malignant Behavior in Glioma.PDF

open access: yes, 2021
Background: Glioma is the most prevalent central nervous system tumor in humans, and its prognosis remains unsatisfactory due to a lack of effective therapeutic targets.
Zhihua Zhao (839435)   +3 more
core   +1 more source

The protective role of m1A during stress-induced granulation [PDF]

open access: yes, 2020
Post-transcriptional methylation of N6- and N1-adenine can effect transcriptome turnover and translation. Furthermore, the regulatory function of N6-methyladenine (m6A) during heat shock has been uncovered, including the enhancement of the phase ...
Alriquet, Marion   +12 more
core   +1 more source

Association of m1A modification genes polymorphisms with glioma risk in Chinese children Running head: m1A genes polymorphisms and glioma risk

open access: yes, 2022
Abstract Background Glioma is a highly heterogeneous malignancy with a high mortality rate, poor prognosis. m1A is an RNA methylation modification that plays a vital role in determining cell fate and cell cycle regulation, and cancer development.
Fan Liao   +8 more
openaire   +1 more source

m1A and m6A modifications work together tofacilitaterapid mRNA degradation

open access: yes, 2022
Here we present the in-house codes for the publication “m1A and m6A modifications work together tofacilitaterapid mRNA ...
Ha, Hongseok, Boo, Sung Ho, Kim, Yoon Ki
core   +1 more source

SDG Reporting in Spanish Listed Companies: A Longitudinal Industry‐Level Analysis Using Natural Language Processing (2018–2023)

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study analyzes the evolution of Sustainable Development Goal (SDG) disclosure among IBEX 35 companies between 2018 and 2023, combining natural language processing for disclosure measurement with negative binomial generalized linear mixed models incorporating financial and governance controls.
Francisco Aguado‐Correa   +5 more
wiley   +1 more source

m1A methylase TRMT6 promotes neuroblastoma development by demethylating SST mRNA in an m1A/YTHDF2-dependent manner

open access: yesBritish Journal of Cancer
m1A, a prevalent RNA modification found in various RNA species, has recently been reported to modulate cancer progression. However, its effects on neuroblastoma remain uninvestigated.The PCAT database was utilized to analyze the mRNA levels and survival probabilities of m1A regulator genes (TRMT6, TRMT61A, ALKBH1, and ALKBH3) in neuroblastoma patients.
Xinxin Zhang   +8 more
openaire   +2 more sources

A Co‐Designed Implicit‐Reset Path PFD and Current Mismatch Compensated CP Enabling Sub‐0.5% Mismatch and Dead Zone‐Free for Low‐Spur PLLs

open access: yesInternational Journal of Circuit Theory and Applications, EarlyView.
A co‐designed implicit‐reset phase‐frequency detector (PFD) and nonlinear amplifier‐assisted charge pump (CP) achieve dead zone‐free operation from 10 MHz to 4.7 GHz with < 0.5% current mismatch without calibration, enabling −80 dBc of reference spur and 0.50 ps of RMS jitter in a 180 nm of CMOS PLL.
A. Ghaemnia   +3 more
wiley   +1 more source

Additional file 1 of m1A methylation modification patterns and metabolic characteristics in hepatocellular carcinoma

open access: yes, 2022
Additional file 1: Table S1. Clinical Characteristics of the HCC patients in TCGA and ICGC; Figure S1. Expression levels of m1A regulators in HCC and normal tissues; Figure S2.
Chengcheng Tong (12193934)   +2 more
core   +1 more source

Deciphering transcriptome complexity via long‐read sequencing

open access: yesiMeta, EarlyView.
Long‐read sequencing is transforming transcriptomics from gene‐level quantification to isoform‐resolved interpretation by directly resolving full‐length transcript structures, transcription in repetitive regions, and linked molecular features. This review provides an end‐to‐end roadmap covering sequencing platforms, library preparation strategies ...
Chuwen Xu   +21 more
wiley   +1 more source

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