Results 71 to 80 of about 127,576 (188)

Doxycycline inhibits pre-rRNA processing and mature rRNA formation in E. coli [PDF]

open access: yesThe Journal of Antibiotics, 2019
In bacteria, RNase III cleaves the initial long primary ribosomal RNA transcripts/precursors (pre-rRNAs), thereby releasing the pre-16S and pre-23S rRNAs for maturation. This cleavage is specified by the double-stranded secondary structures flanking the mature rRNAs, and not necessarily by the nucleotide sequences.
Chukwudi, C U, Good, L
openaire   +2 more sources

Kinetic analysis demonstrates a requirement for the Rat1 exonuclease in cotranscriptional pre-rRNA cleavage.

open access: yesPLoS ONE, 2014
During yeast ribosome synthesis, three early cleavages generate the 20S precursor to the 18S rRNA component of the 40S subunits. These cleavages can occur either on the nascent transcript (nascent transcript cleavage; NTC) or on the 35S pre-rRNA that has
Konstantin Axt   +3 more
doaj   +1 more source

The Arabidopsis 2′-O-Ribose-Methylation and Pseudouridylation Landscape of rRNA in Comparison to Human and Yeast

open access: yesFrontiers in Plant Science, 2021
Eukaryotic ribosome assembly starts in the nucleolus, where the ribosomal DNA (rDNA) is transcribed into the 35S pre-ribosomal RNA (pre-rRNA). More than two-hundred ribosome biogenesis factors (RBFs) and more than two-hundred small nucleolar RNAs (snoRNA)
Deniz Streit   +2 more
doaj   +1 more source

ABT1 modifies SMARD1 pathology via interactions with IGHMBP2 and stimulation of ATPase and helicase activity

open access: yesJCI Insight, 2023
SMA with respiratory distress type 1 (SMARD1) and Charcot-Marie-Tooth type 2S (CMT2S) are results of mutations in immunoglobulin mu DNA binding protein 2 (IGHMBP2).
Gangadhar P. Vadla   +9 more
doaj   +1 more source

Capturing the ‘ome’ : the expanding molecular toolbox for RNA and DNA library construction [PDF]

open access: yes, 2018
All sequencing experiments and most functional genomics screens rely on the generation of libraries to comprehensively capture pools of targeted sequences.
Boone, Morgane   +2 more
core   +2 more sources

A Quantitative Sequencing Framework for Absolute Abundance Measurements of Mucosal and Lumenal Microbial Communities [PDF]

open access: yes, 2020
A fundamental goal in microbiome studies is determining which microbes affect host physiology. Standard methods for determining changes in microbial taxa measure relative, rather than absolute abundances.
Barlow, Jacob T.   +2 more
core   +1 more source

snoRNA nuclear import and potential for cotranscriptional function in pre-rRNA processing [PDF]

open access: yesRNA, 2001
Several snoRNAs are essential for the sequence of cleavage events required to produce the mature forms of 18S, 5.8S, and 28S rRNA from the large precursor molecule. In the absence of U22, mature 18S rRNA fails to accumulate; U8 snoRNA is essential for accumulation of both 5.8S and 28S rRNA.
openaire   +2 more sources

Ribosomal protein L35 is required for 27SB pre-rRNA processing in Saccharomyces cerevisiae [PDF]

open access: yesNucleic Acids Research, 2010
Ribosome synthesis involves the concomitance of pre-rRNA processing and ribosomal protein assembly. In eukaryotes, this is a complex process that requires the participation of specific sequences and structures within the pre-rRNAs, at least 200 trans-acting factors and the ribosomal proteins.
Babiano González, Reyes   +1 more
openaire   +4 more sources

snoRNPs: Functions in Ribosome Biogenesis

open access: yesBiomolecules, 2020
Ribosomes are perhaps the most critical macromolecular machine as they are tasked with carrying out protein synthesis in cells. They are incredibly complex structures composed of protein components and heavily chemically modified RNAs.
Sandeep Ojha   +2 more
doaj   +1 more source

From learning taxonomies to phylogenetic learning: integration of 16S rRNA gene data into FAME-based bacterial classification [PDF]

open access: yes, 2010
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limited resolution for discrimination of bacteria at the species level.
Bram Slabbinck   +53 more
core   +3 more sources

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