Results 91 to 100 of about 3,887,902 (293)

Analyzing time series gene expression data [PDF]

Bioinformatics, 2004
Abstract Motivation: Time series expression experiments are an increasingly popular method for studying a wide range of biological systems. However, when analyzing these experiments researchers face many new computational challenges. Algorithms that are specifically designed for time series experiments are required so that we can take ...
openaire   +2 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

PHARMACOLOGICAL MODULATION OF THE INTEGRATED STRESS RESPONSE ALTERS PATHOLOGY IN AN AMYOTROPHIC LATERAL SCLEROSIS MOUSE MODEL

IBRO Neuroscience Reports, 2023
Nuria Peregrín Pastor, Elias Marlin, Miguel Valencia, Roberto Ferrero, Maria Jesus Nicolás Apesteguía, Rodrigo Vinueza-Gavilanes, Julio Artieda, Monserrat Arrasate, Tomás Aragón   +8 more
doaj   +1 more source

Stochastic dynamic modeling of short gene expression time-series data [PDF]

, 2008
Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Ho, DWC, Liu, X, Swift, S, Tucker, A, Wang, Z, Yang, F   +5 more
core   +1 more source

Model-based clustering with data correction for removing artifacts in gene expression data

, 2016
The NIH Library of Integrated Network-based Cellular Signatures (LINCS) contains gene expression data from over a million experiments, using Luminex Bead technology.
Raftery, Adrian E., Yeung, Ka Yee, Young, William Chad   +2 more
core   +1 more source

Fetal Brain Tumor Harboring a Unique ROCK1::BRAF Fusion

Pediatric Blood &Cancer, EarlyView.
Marllon Cindra Sant'Ana, Mariana Maschietto, Daniela Paz Leal, Ricardo de Santos de Oliveira, Mayara Ferreira Euzébio, Antonio Carlos dos Santos, Luciano Neder, Carlos Alberto Scrideli, Elvis Terci Valera   +8 more
wiley   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

FEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui‐Ting Lee, Jun Zhang   +10 more
wiley   +1 more source

Gene expression feature selection for prostate cancer diagnosis using a two‐phase heuristic–deterministic search strategy

IET Systems Biology, 2018
Here, a two‐phase search strategy is proposed to identify the biomarkers in gene expression data set for the prostate cancer diagnosis. A statistical filtering method is initially employed to remove the noisiest data.
Saleh Shahbeig, Akbar Rahideh, Mohammad Sadegh Helfroush, Kamran Kazemi   +3 more
doaj   +1 more source