Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

HyperTRIBE uncovers MSI2 increased RNA binding activity and differential regulation in leukemic stem cells [LSK cells]

ABSTRACT: Understanding RBPs’ molecular functions as well as their cell-type specific activity requires identification of RBPs’ direct mRNA targets. However, efforts to identify RNA targets of RNA binding proteins in stem cells have been hindered by limited cell numbers. Here we adapted the HyperTRIBE method using an RBP fused to a Drosophila RNA editing enzyme (ADAR) to allow for global mapping of mRNA targets of the RBP MSI2 in rare mammalian adult stem cells. We applied this method to identify MSI2 RNA binding targets in subcompartments of mouse HSPCs including long-term HSCs (LT-HSCs), short-term HSCs (ST-HSCs), multipotent progenitors MPP2 and MPP4. MSI2 fusion with the catalytic domain of the Hyperactive ADAR mutant (MSI2-ADA) or with the dead catalytic mutant (MSI2-DCD) were overexpressed in sorted LSK cells, which were transplanted into mice. After 7 weeks, mouse HSPCs were sorted into 4 populations for RNA-seq. As ADAR converts A to I (G), the fusion leaves a "finger-print" where MSI2 binds. MSI2-DCD and empty vector controls were used to normalize the background editing. We were able to identify MSI2 RNA binding targets in hematopoietic stem and progenitor cells for the first time. Furthermore, we show differential RNA binding activity (by target transcripts and editing frequency) of MSI2 in different subcompartments of HSPCs.

ORGANISM(S): Mus musculus

PROVIDER: GSE132947 | GEO | 2020/03/11

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

HyperTRIBE uncovers MSI2 increased RNA binding activity and differential regulation in leukemic stem cells [LSC and LSK]

Project description:Understanding RBPs’ molecular functions as well as their cell-type specific activity requires identification of RBPs’ direct mRNA targets. However, efforts to identify RNA targets of RNA binding proteins in stem cells have been hindered by limited cell numbers. Here we adapted the HyperTRIBE method using an RBP fused to a Drosophila RNA editing enzyme (ADAR) to allow for global mapping of mRNA targets of the RBP MSI2 in rare mammalian adult stem cells. We applied this method to identify MSI2 RNA binding targets in mouse HSPCs (Lin- Sca1+ Kit+ or LSK cells) and mouse leukemic stem cells (LSCs). MSI2 fusion with the catalytic domain of the Hyperactive ADAR mutant (MSI2-ADA) or with the dead catalytic mutant (MSI2-DCD) were overexpressed for 48 hours in LSKs and LSCs, followed by RNA-seq. As ADAR converts A to I (G), the fusion leaves a "finger-print" where MSI2 binds. MSI2-DCD and empty vector controls were used to normalize the background editing. We show that despite comparable expression of the MSI2-ADA fusion protein and endogenous MSI2 in LSCs vs LSKs, MSI2 RNA binding activity (number of targets and editing frequency) in LSCs is significantly higher than that in LSKs. This elevated RNA binding activity is independent of abundancy of the target transcripts.

2020-03-11 | GSE132948 | GEO

HyperTRIBE uncovers MSI2 increased RNA binding activity and differential regulation in leukemic stem cells [Molm13_ADA_RRM_controls]

2020-03-11 | GSE146770 | GEO

HyperTRIBE uncovers MSI2 increased RNA binding activity and differential regulation in leukemic stem cells [MOLM-13]

2020-03-11 | GSE132896 | GEO

TRIBE : Hijacking an RNA-editing enzyme to identify cell-specific targets of RNA-binding proteins

Project description:RNA transcripts are bound and regulated by RNA-binding proteins (RBPs). Current methods for identifying in vivo targets of a RBP are imperfect and not amenable to examining small numbers of cells. To address these issues, we developed TRIBE (Targets of RNA-binding proteins Identified By Editing), a technique that couples an RBP to the catalytic domain of the Drosophila RNA editing enzyme ADAR and expresses the fusion protein in vivo. RBP targets are marked with novel RNA editing events and identified by sequencing RNA. We have used TRIBE to identify the targets of three RBPs (Hrp48, dFMR1 and NonA). TRIBE compares favorably to other methods, including CLIP, and we have identified RBP targets from as little as 150 specific fly neurons. TRIBE can be performed without an antibody and in small numbers of specific cells.

2016-04-05 | GSE78065 | GEO

Mechanistic Implications of Enhanced Editing by a HyperTRIBE RNA-binding protein

Project description:Most current methods to identify cell-specific RNA binding protein (RBP) targets require analyzing an extract, a strategy that is problematic with small amounts of material. We previously addressed this issue by developing TRIBE, a method that expresses an RBP of interest fused to the catalytic domain (cd) of the RNA editing enzyme ADAR. TRIBE performs Adenosine-to-Inosine editing on candidate RNA targets of the RBP. However, target identification is limited by the efficiency of the ADARcd. Here we describe HyperTRIBE, which carries a previously characterized hyperactive mutation (E488Q) of the ADARcd. HyperTRIBE identifies dramatically more editing sites than TRIBE, many of which are also edited by TRIBE but at a much lower editing frequency. The data have mechanistic implications for the enhanced editing activity of the HyperADARcd as part of a RBP fusion protein and also indicate that HyperTRIBE more faithfully recapitulates the known binding specificity of its RBP than TRIBE.

2017-08-19 | GSE102814 | GEO

Comparison of STAMP and TRIBE for identifying the targets of RNA-binding proteins in human and Drosophila cells [human]

Project description:RNA binding proteins (RBPs) perform a myriad of functions and are implicated in numerous neurological diseases. To identify the targets of RBPs in small numbers of cells, we developed TRIBE, in which the catalytic domain of the RNA editing enzyme ADAR (ADARcd) is fused to a RBP. In STAMP, the ADARcd is replaced by the RNA editing enzyme Apobec (REF). Here we compared the two enzymes fused to the RBP TDP43 in human cells. Although they both identified TDP43 target mRNAs, combining the two methods more successfully identified high confidence targets. We also assayed the two enzymes in Drosophila cells in which RBP-Apobec fusions generated only low numbers of editing sites comparable to the level of control editing. This was true for two different RBPs, Hrp48 and Thor (Drosophila EIF4E-BP), and contrasted with successful RBP-ADARcd fusions. The results indicate that TRIBE is the method of choice in Drosophila.

2023-02-05 | GSE223556 | GEO

Comparison of STAMP and TRIBE for identifying the targets of RNA-binding proteins in human and Drosophila cells [Drosophila]

2023-02-05 | GSE223555 | GEO

Musashi-2 Post-transcriptionally Attenuates Aryl Hydrocarbon Receptor Signaling to Expand Human Hematopoietic Stem Cells

Project description:A greater understanding of the molecular pathways that underpin the unique human hematopoietic stem and progenitor cell (HSPC) self-renewal program will improve strategies to expand these critical cell types for regenerative therapies. The post-transcriptional mechanisms guiding HSPC fate during ex vivo expansion have not been closely investigated. Using shRNA-mediated knockdown, we show that the RNA-binding protein (RBP) Musashi-2 (MSI2) is required for human HSPC self-renewal. Conversely, when overexpressed, MSI2 induces multiple pro-self-renewal phenotypes, including significant ex vivo expansion of short- and long-term repopulating cells through direct attenuation of aryl hydrocarbon receptor (AHR) signaling. Using a global analysis of MSI2-RNA interactions, we determined that MSI2 post-transcriptionally downregulates canonical AHR pathway components in cord blood HSPCs. Our study provides new mechanistic insight into RBP-controlled RNA networks that underlie the self-renewal process and provides evidence that manipulating such networks can provide a novel means to enhance the regenerative potential of human HSPCs expanded ex vivo.

2016-04-27 | GSE69583 | GEO

Musashi-2 attenuates AHR signalling to expand human haematopoietic stem cells

2016-04-27 | GSE70685 | GEO

Expanded repertoire for RNA-editing-based detection for RNA binding protein interactions (3)

Project description:RNA binding proteins (RBPs) are key regulators of RNA processing and cellular function. Technologies to discover RNA targets of RBPs such as TRIBE (targets of RNA binding proteins identified by editing) and STAMP (surveying targets by APOBEC1 mediated profiling) utilize fusions of RNA base-editors (rBEs) to RBPs to circumvent the limitations of immunoprecipitation (CLIP)-based methods that require enzymatic digestion and large amounts of input material. To expand the collection of rBEs suitable for editing-based RBP-RNA interactome studies, we developed experimental and computational assays to systematically evaluate the editing activities of over thirty A-to-I and C-to-U rBEs in human cells. We identify rBEs that outperform Drosophila ADAR (TRIBE) and mammalian APOBEC1 (STAMP) in the characterization of the binding patterns of sequence-specific and broad-binding RBPs and recommend rBEs that pair effectively in dual-RBP-based applications. We demonstrate that the optimal choice of single or multiple rBEs to fuse to a given or pair of RBPs depends on the editing biases of the rBEs and the binding preferences of the RBPs. Our framework ENGRAVe (Editing nucleotides with general RNA-base-editor variants) reframes the use of and expands the choice of rBEs for the next generation of RBP-RNA target discoveries.

2024-02-02 | GSE232515 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data