Arabidopsis thaliana
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA327200 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Biological function of antisense RNAs that are synthesized by RNA-dependent RNA polymerases under abiotic stress
| PRJNA293711 | ENA
Project description:To identify RDR1/2/6-dependent antisense RNA loci under 2hr drought stress and 2hr rehydration, expression profiles of Poly (A+) RNA between rdr1/2/6 and wild-type using the custom microarray (GPL19830) were analyzed.
2016-07-31 | GSE83846 | GEO
Project description:RNA-dependent RNA polymerases-synthesized antisense ribosomal siRNAs silence pre-rRNA via the nuclear RNAi pathway in C. elegans
| PRJNA356376 | ENA
Project description:In the Caenorhabditis elegans germline, thousands of mRNAs are concomitantly expressed with antisense 22G-RNAs, which are loaded into the Argonaute CSR-1. Despite their essential functions for animal fertility and embryonic development, how CSR-1 22G-RNAs are produced remains unknown. Here, we show that CSR-1 slicer activity is primarily involved in triggering the synthesis of small RNAs on the coding sequences of germline mRNAs and post-transcriptionally regulates a fraction of targets. CSR-1-cleaved mRNAs prime the RNA-dependent RNA polymerase, EGO-1, to synthesize 22G-RNAs in phase with ribosome translation in the cytoplasm, in contrast to other 22G-RNAs mostly synthesized in germ granules. Moreover, codon optimality and efficient translation antagonize CSR-1 slicing and 22G-RNAs biogenesis. We propose that codon usage differences encoded into mRNA sequences might be a conserved strategy in eukaryotes to regulate small RNA biogenesis and Argonaute targeting
2021-04-23 | PXD020293 | Pride
Project description:Endogenous RNA-directed RNA polymerases (RdRPs) are cellular components capable of synthesizing new complementary RNAs from existing RNA templates. We present evidence for successive engagement of two different RdRPs in an endogenous siRNA-based mechanism targeting specific mRNAs in C. elegans soma. In the initiation stage of this process, a group of mRNA species are chosen as targets for downregulation, leading to accumulation of rare 26-nt 5'-phosphorylated antisense RNAs that depend on the RdRP homolog RRF-3, the argonaute ERGO-1, DICER, and a series of associated (ERI) factors. This primary process leads to production of a much more abundant class of 22-nt antisense RNAs, dependent on a secondary RdRP (RRF-1) and associating with at least one distinct Argonaute (NRDE-3). The requirement for two RdRP/Argonaute combinations and initiation by a rare class of uniquely-structured siRNAs in this pathway illustrate the caution and flexibility used as biological systems exploit the physiological copying of RNA.
2010-02-01 | GSE19414 | GEO
Project description:Endogenous RNA-directed RNA polymerases (RdRPs) are cellular components capable of synthesizing new complementary RNAs from existing RNA templates. We present evidence for successive engagement of two different RdRPs in an endogenous siRNA-based mechanism targeting specific mRNAs in C. elegans soma. In the initiation stage of this process, a group of mRNA species are chosen as targets for downregulation, leading to accumulation of rare 26-nt 5'-phosphorylated antisense RNAs that depend on the RdRP homolog RRF-3, the argonaute ERGO-1, DICER, and a series of associated (ERI) factors. This primary process leads to production of a much more abundant class of 22-nt antisense RNAs, dependent on a secondary RdRP (RRF-1) and associating with at least one distinct Argonaute (NRDE-3). The requirement for two RdRP/Argonaute combinations and initiation by a rare class of uniquely-structured siRNAs in this pathway illustrate the caution and flexibility used as biological systems exploit the physiological copying of RNA. 24 small RNA and 2 polyA RNA samples
2010-02-01 | E-GEOD-19414 | biostudies-arrayexpress
Project description:To identify RDR1/2/6-dependent antisense RNA loci under 2hr drought stress and 2hr rehydration, expression profiles of Poly (A+) RNA between rdr1/2/6 and wild-type using the custom microarray (GPL19830) were analyzed. rdr1/2/6 and wild-type plants (Arabidopsis thaliana ecotype Columbia) were grown on MS medium for 2 weeks. Then, the plants were transferred to plastic dish and kept for 2hr. Poly (A+) RNA from 100μg total RNA by treating with Ambion Poly A purist twice.5 ng of Poly (A+) RNA were used for the expresion profiling using the custom array (GPL19830).
2016-07-31 | E-GEOD-83846 | biostudies-arrayexpress
Project description:RNA polymerases are highly regulated molecular machines. We present a method (GRO-seq) that maps the position, amount, and orientation of transcriptionally-engaged RNA polymerases genome-wide. In this method, nuclear run-on RNAs are subjected to large-scale parallel sequencing and mapped to the genome. Here, we show that peaks of promoter-proximal polymerase reside on ~30% of human genes, transcription extends beyond pre-mRNA 3M-bM-^@M-^Y cleavage, and antisense transcription is prevalent. Additionally, most promoters have an engaged polymerase upstream and in an orientation opposite to the annotated gene. This divergent polymerase is associated with active genes, but does not elongate effectively beyond the promoter. These results imply that the interplay between polymerases and regulators over broad promoter regions dictates the orientation and efficiency of productive transcription. Two biological replicates of nascent RNA sequencing
2008-12-04 | E-GEOD-13518 | biostudies-arrayexpress
Project description:LlorénsRico2016 - Effects of cis-Encoded antisense RNAs (asRNAs) - Case1
Three
putative effects of the asRNAs were considered in this study: in
case 1
(this
model)
,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2, the binding of the asRNA to
the mRNA induces degradation of the mRNA, but not of the asRNA.
In case 3, the mRNA and the asRNA bind reversibly to form a
stable duplex, preventing translation of the mRNA. In all the
three cases, binding to the ribosome protects the mRNA from the
effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170000.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170000 | BioModels
Project description:LlorénsRico2016 - Effects of cis-Encoded
antisense RNAs (asRNAs) - Case1
Three
putative effects of the asRNAs were considered in this study: in
case 1
,
the binding of the asRNA to the corresponding mRNA induces
degradation of the duplex. In case 2
(this
model)
the binding of the asRNA to the mRNA induces degradation of the
mRNA, but not of the asRNA. In case 3, the mRNA and the asRNA
bind reversibly to form a stable duplex, preventing translation
of the mRNA. In all the three cases, binding to the ribosome
protects the mRNA from the effect of the asRNA.
This model is described in the article:
Bacterial antisense RNAs are
mainly the product of transcriptional noise.
Lloréns-Rico V, Cano J,
Kamminga T, Gil R, Latorre A, Chen WH, Bork P, Glass JI, Serrano
L, Lluch-Senar M.
Sci Adv 2016 Mar; 2(3): e1501363
Abstract:
cis-Encoded antisense RNAs (asRNAs) are widespread along
bacterial transcriptomes. However, the role of most of these
RNAs remains unknown, and there is an ongoing discussion as to
what extent these transcripts are the result of transcriptional
noise. We show, by comparative transcriptomics of 20 bacterial
species and one chloroplast, that the number of asRNAs is
exponentially dependent on the genomic AT content and that
expression of asRNA at low levels exerts little impact in terms
of energy consumption. A transcription model simulating mRNA
and asRNA production indicates that the asRNA regulatory effect
is only observed above certain expression thresholds,
substantially higher than physiological transcript levels.
These predictions were verified experimentally by
overexpressing nine different asRNAs in Mycoplasma pneumoniae.
Our results suggest that most of the antisense transcripts
found in bacteria are the consequence of transcriptional noise,
arising at spurious promoters throughout the genome.
This model is hosted on
BioModels Database
and identified by:
MODEL1511170001.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2017-05-18 | MODEL1511170001 | BioModels