Results 21 to 30 of about 718,965 (394)

The non-coding landscape of head and neck squamous cell carcinoma. [PDF]

open access: yes, 2016
Head and neck squamous cell carcinoma (HNSCC) is an aggressive disease marked by frequent recurrence and metastasis and stagnant survival rates. To enhance molecular knowledge of HNSCC and define a non-coding RNA (ncRNA) landscape of the disease, we ...
Grandis, Jennifer R   +17 more
core   +6 more sources

Long Non-Coding RNA (lncRNA) Roles in Cell Biology, Neurodevelopment and Neurological Disorders

open access: yesNon-Coding RNA, 2021
Development is a complex process regulated both by genetic and epigenetic and environmental clues. Recently, long non-coding RNAs (lncRNAs) have emerged as key regulators of gene expression in several tissues including the brain.
V. Aliperti, J. Skonieczna, A. Cerase
semanticscholar   +1 more source

The Role of Non-Coding RNAs in Glioma

open access: yesBiomedicines, 2022
For decades, research in cancer biology has been focused on the protein-coding fraction of the human genome. However, with the discovery of non-coding RNAs (ncRNAs), it has become known that these entities not only function in numerous fundamental life ...
Anshika Goenka   +6 more
doaj   +1 more source

MALAT1 Long Non-Coding RNA: Functional Implications

open access: yesNon-Coding RNA, 2020
The mammalian genome is pervasively transcribed and the functional significance of many long non-coding RNA (lncRNA) transcripts are gradually being elucidated.
G. Arun, Disha Aggarwal, D. Spector
semanticscholar   +1 more source

PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets [PDF]

open access: yes, 2019
Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs.
Deshpande, Sumukh   +4 more
core   +4 more sources

Long Non-Coding RNAs in the Cytoplasm

open access: yesGenomics, Proteomics & Bioinformatics, 2016
Abstract An enormous amount of long non-coding RNAs (lncRNAs) transcribed from eukaryotic genome are important regulators in different aspects of cellular events. Cytoplasm is the residence and the site of action for many lncRNAs. The cytoplasmic lncRNAs play indispensable roles with multiple molecular mechanisms in animal and human ...
Farooq Rashid, Abdullah Shah, Ge Shan
openaire   +4 more sources

Long non-coding RNAs and enhancers [PDF]

open access: yesCurrent Opinion in Genetics & Development, 2011
Long non-coding RNAs (ncRNAs) are emerging as important regulatory factors in mammalian genomics. A number of reports within the last 2 years have identified thousands of actively expressed long ncRNA transcripts with distinct properties. The long ncRNAs show differential expression patterns and regulation in a wide variety of cells and tissues, adding
Ulf Andersson Ørom, Ramin Shiekhattar
openaire   +3 more sources

The functional role of long non-coding RNA in human carcinomas

open access: yesMolecular Cancer, 2011
Long non-coding RNAs (lncRNAs) are emerging as new players in the cancer paradigm demonstrating potential roles in both oncogenic and tumor suppressive pathways. These novel genes are frequently aberrantly expressed in a variety of human cancers, however
E. Gibb, Carolyn J. Brown, W. Lam
semanticscholar   +1 more source

Long non‐coding RNAs in melanoma [PDF]

open access: yesCell Proliferation, 2018
AbstractMelanoma is the most lethal cutaneous cancer with a highly aggressive and metastatic phenotype. While recent genetic and epigenetic studies have shed new insights into the mechanism of melanoma development, the involvement of regulatory non‐coding RNAs remain unclear.
Xin Yu   +4 more
openaire   +3 more sources

FEELnc: a tool for long non-coding RNA annotation and its application to the dog transcriptome

open access: yesNucleic Acids Research, 2017
Whole transcriptome sequencing (RNA-seq) has become a standard for cataloguing and monitoring RNA populations. One of the main bottlenecks, however, is to correctly identify the different classes of RNAs among the plethora of reconstructed transcripts ...
Valentin Wucher   +21 more
semanticscholar   +1 more source

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