Name: Identification of mouse lncRNA ENSMUST00000219456(GM32255) interacting proteins in HL-1 cardiomyocytes by pull-down assays coupled to MS
Keywords: Mouse lncrna ensmust00000219456(gm32255)

Dataset Information

Identification of mouse lncRNA ENSMUST00000219456(GM32255) interacting proteins in HL-1 cardiomyocytes by pull-down assays coupled to MS

ABSTRACT: In this study, pull down assays combined with mass spectrometry analysis were performed in HL-1 cardiomyocytes transfected with control plasmid (OE-Vector) or LOC107984012-overexpression plasmid to identify the repertoire of LOC107984012 interacting proteins.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Cell Culture

SUBMITTER: Jingjing Wan

LAB HEAD: Jingjing Wan

PROVIDER: PXD036966 | Pride | 2024-01-26

REPOSITORIES: Pride

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Publications

Astragaloside IV derivative HHQ16 ameliorates infarction-induced hypertrophy and heart failure through degradation of lncRNA4012/9456.

Wan Jingjing J Zhang Zhen Z Wu Chennan C Tian Saisai S Zang Yibei Y Jin Ge G Sun Qingyan Q Wang Pin P Luan Xin X Yang Yili Y Zhan Xuelin X Ye Lingyu Linda LL Duan Dayue Darrel DD Liu Xia X Zhang Weidong W

Signal transduction and targeted therapy 20231019 1

Reversing ventricular remodeling represents a promising treatment for the post-myocardial infarction (MI) heart failure (HF). Here, we report a novel small molecule HHQ16, an optimized derivative of astragaloside IV, which effectively reversed infarction-induced myocardial remodeling and improved cardiac function by directly acting on the cardiomyocyte to reverse hypertrophy. The effect of HHQ16 was associated with a strong inhibition of a newly discovered Egr2-affiliated transcript lnc9456 in t ...[more]

PMID: 37857609

Similar Datasets

Project description:Here we focus on identifying conserved elements that are required for Chaserr function, a lncRNA that we recently characterized as being essential for mouse viability (https://doi.org/10.1038/s41467-019-13075-8). Chaserr is highly conserved in different species, and is located in close proximity (<2kb) to the transcription start site of CHD2. It acts in concert with the CHD2 protein to maintain proper Chd2 expression levels. Using the LncLOOM framework we identified AUGG enriched conserved elements which are located in the last exon of mouse Chaserr. In order to identify proteins that potentially bind to these conserved regions, we used in vitro transcription to generate the following biotinylated RNAs; along with their antisense controls: 1) The WT sequence, containing the first 322 nt of the last exon of Chaserr (bases 764–1086 of the NR_037601 isoform). An antisense control fragment was also prepared, labelled as AWT 2) The mutant conserved (MC) sequence, that contained AUGG→UACC mutations in four conserved motifs that were found using LncLOOM. An antisense control fragment was also prepared, labelled as AMC 3) The muatant all (MA) sequence in which all seven of the AUGG sites in the last exon were mutated to UACC. An antisense control fragment was also prepared, labelled as AMA 4) We also included a No Probe Control, which did not contain an RNA fragment. The fragments were incubated with N2a cell lysates followed by RNA-pulldown and Mass Spec analysis. The experiment was performed in triplicate. A total of 938 proteins were found to associate with the WT sequence: 74 of these were enriched ≥3-fold compared to the antisense sequence.We identified 9 proteins that had ≥2-fold higher recovery when using the WT sequence compared to both mutants. Included in these proteins was DHX36, which showed the highest enrichment compared to the mutated sequences. We validated the association of DHX36 with Chaserr through RNA immunoprecipitation experiments.

Dataset Information

Identification of mouse lncRNA ENSMUST00000219456(GM32255) interacting proteins in HL-1 cardiomyocytes by pull-down assays coupled to MS

Publications

Astragaloside IV derivative HHQ16 ameliorates infarction-induced hypertrophy and heart failure through degradation of lncRNA4012/9456.

Similar Datasets

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