Results 31 to 40 of about 5,342,886 (354)

Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing [PDF]

open access: yesPeerJ, 2013
Exosomes are nanosized (30–100 nm) membrane vesicles secreted by most cell types. Exosomes have been found to contain various RNA species including miRNA, mRNA and long non-protein coding RNAs. A number of cancer cells produce elevated levels of exosomes.
Piroon Jenjaroenpun   +5 more
doaj   +2 more sources

Watching gene expression in color. [PDF]

open access: yes, 2019
A combination of two fluorescent proteins with different half-lives allows gene expression to be followed with improved time ...
Bates   +10 more
core   +2 more sources

Identification of common oncogenic and early developmental pathways in the ovarian carcinomas controlling by distinct prognostically significant microRNA subsets

open access: yesBMC Genomics, 2017
Background High-grade serous ovarian carcinoma (HG-SOC) is the dominant tumor histologic type in epithelial ovarian cancers, exhibiting highly aberrant microRNA expression profiles and diverse pathways that collectively determine the disease ...
Vladimir A. Kuznetsov   +2 more
doaj   +1 more source

Impact of the sickle mutant and temperature on the structure of transcripts and RNAs from Arabidopsis thaliana

open access: yesBMC Research Notes, 2022
Objectives The objective of this data set was to identify how interaction between temperature and the sickle-3 (sic-3) mutant alters the global messenger RNA (mRNA) content of Arabidopsis thaliana seedlings.
Carine M. Marshall, Frank G. Harmon
doaj   +1 more source

Quantifying Gene Expression [PDF]

open access: yesCurrent Issues in Molecular Biology, 2002
Identifying those genes that are expressed and at what levels is an essential part of almost any biological inquiry at the cellular level. Techniques such as Northern blot have been in existence for decades to perform this task, but advances in molecular biology and bioinstrumentation have led to the development of a variety of new techniques with a ...
openaire   +3 more sources

Stochastic neural network models for gene regulatory networks [PDF]

open access: yes, 2003
Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Burrage, K., Tian, T.
core   +2 more sources

Gene Therapy for Acquired and Genetic Cholestasis

open access: yesBiomedicines, 2022
Cholestatic diseases can be caused by the dysfunction of transporters involved in hepatobiliary circulation. Although pharmacological treatments constitute the current standard of care for these diseases, none are curative, with liver transplantation ...
Javier Martínez-García   +4 more
doaj   +1 more source

Identifying expressed genes [PDF]

open access: yesProceedings of the National Academy of Sciences, 2000
The study of expressed genes has had a great impact on biological research (1). Expressed genes are the basic functional units of genomic DNA. Because these regions cannot be identified from genomic sequence information per se, the gene's products, messenger RNAs or proteins, must be isolated from cells, directly sequenced, and identified.
Katherine J. Martin, Arthur B. Pardee
openaire   +3 more sources

Digital gene expression analysis of the zebra finch genome [PDF]

open access: yes, 2010
Background: In order to understand patterns of adaptation and molecular evolution it is important to quantify both variation in gene expression and nucleotide sequence divergence.
Balakrishnan, C.N.   +3 more
core   +4 more sources

Engineering stochasticity in gene expression [PDF]

open access: yes, 2008
Stochastic fluctuations (noise) in gene expression can cause members of otherwise genetically identical populations to display drastically different phenotypes. An understanding of the sources of noise and the strategies cells employ to function reliably
Bayer, Travis S.   +4 more
core   +1 more source

Home - About - Disclaimer - Privacy