Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Anti YTHDF2 RIP-seq to identify YTHDF2 target mRNAs in P0 mouse retinas

ABSTRACT: To identify the target mRNAs of the m6A reader protein YTHDF2, we carired out anti YTHDF2 RNA Immunoprecipitation (RIP) followed by RNA-sequencencing. Using EZ-Magna RIP™ RNA-Binding Protein Immunoprecipitation Kit (Millipore), RNA from P0 wild type mouse retinas was pulled down by rabbit polyclonal anti-YTHDF2 (proteintech) and then sequenced on Illumina HiSeq3000 platform. The filtered reads were mapped to the mouse reference genome (GRCm38) using STAR v2.5 with default parameters. The resulting bam files were fed to HTSeq tool to count the number of RNA-seq reads, which was further normalized to calculate FPKM. To determine which gene is enriched, we computed the FPKM from RIP elute to input and any fold change greater than 2 was considered enriched. Finally, Biological replicates of anti-YTHDF2 RIP-Seq identified 1639 transcripts. This study provides a gene list which shows mRNA binding with YTHDF2 in mouse retina.

ORGANISM(S): Mus musculus

PROVIDER: GSE145390 | GEO | 2022/03/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Anti-YTHDF1 and anti-YTHDF2 RIP-Seq to identify the target mRNAs for YTHDF1 and YTHDF2, respectively

Project description:To identify the target mRNAs of the m6A reader protein YTHDF1 and YTHDF2, we carired out anti YTHDF1 and anti YTHDF2 RNA Immunoprecipitation (RIP) followed by RNA-sequencencing. Using EZ-Magna RIP™ RNA-Binding Protein Immunoprecipitation Kit (Millipore), RNA from P6-P8 wild type mouse cerebellum was pulled down by rabbit polyclonal anti-YTHDF1 (proteintech) or polyclonal anti-YTHDF2 (proteintech) and then sequenced on Illumina HiSeq3000 platform. The filtered reads were mapped to the mouse reference genome (GRCm38) using STAR v2.5 with default parameters. The resulting bam files were fed to HTSeq tool to count the number of RNA-seq reads, which was further normalized to calculate FPKM. To determine which gene is enriched, we computed the FPKM from RIP elute to input and any fold change greater than 2 was considered enriched. Finally, Biological replicates of anti-YTHDF1 RIP-Seq and anti-YTHDF2 RIP-Seq identified 506 and 596 mRNAs transcripts, respectively. This study provides gene lists which shows mRNA binding with YTHDF1 and YTHDF2 in mouse cerebellum.

2021-12-10 | GSE153689 | GEO

Anti YTHDF1 and YTHDF2 RIP-seq to identify target mRNAs in mouse cortex and retina

Project description:To identify the target mRNAs of the m6A reader proteins YTHDF1 and YTHDF2, we carried out anti-YTHDF1 and anti-YTHDF2 RNA Immunoprecipitation (RIP) followed by RNA-sequencing. Using EZ-Magna RIP™ RNA-Binding Protein Immunoprecipitation Kit (Millipore), RNA from E12.5 wild-type mouse cortices and P0 wild-type mouse retinas was pulled down by rabbit polyclonal anti-YTHDF1 (proteintech) and rabbit polyclonal anti-YTHDF2 (proteintech), and then sequenced on Illumina HiSeq3000 platform. The filtered reads were mapped to the mouse reference genome (GRCm38) using STAR v2.5 with default parameters. The resulting bam files were fed to the HTSeq tool to count the number of RNA-seq reads, which was further normalized to calculate FPKM. To determine which gene is enriched, we computed the FPKM from RIP elute to input, and any fold change greater than 2 was considered enriched. From the embryonic cortex, we identified 986 and 1860 mRNAs by anti-YTHDF1 and anti-YTHDF2 RIP-seq, respectively. Anti-YTHDF1 and anti-YTHDF2 RIP-seq in mouse retina identified 2969 and 1638 mRNAs, respectively. This study provides the gene lists which show mRNAs binding with YTHDF1 and YTHDF2 in the mouse cortex and retina.

2022-08-05 | GSE199962 | GEO

Anti-YTHDF2 RIP-Seq to identify YTHDF2 target mRNAs in hippocampus

Project description:To identify the target mRNAs of the m6A reader protein YTHDF2 in mouse hippocampus, we carired out anti YTHDF2 RNA Immunoprecipitation (RIP) followed by RNA-sequencencing. Using EZ-Magna RIP™ RNA-Binding Protein Immunoprecipitation Kit (Millipore), RNA from P40 wild type mouse hippocampus was pulled down by rabbit polyclonal anti-YTHDF2 (proteintech) and then sequenced on Illumina Novaseq 6000. The filtered reads were aligned to the mouse reference genome (GRCm38) using BWA mem (v 0.7.12).Then the MACS2 (version 2.1.0) peak calling software was used to identify regions of IP enrichment over background, followed by the motif detected by Homer (Heinz et al., 2010). Peak related genes are then confirmed by PeakAnnotator. Different peak analysis was based on the fold enrichment of peaks of different experiments. A peak was determined as different peak when the odds ratio between two groups was more than 2. Using the same method, genes associated with different peaks were identified. Finally, Biological replicates of anti-YTHDF2 RIP-Seq identified 408 mRNAs transcripts. This study provides gene lists which shows mRNA binding with YTHDF2 in mouse hippocampus.

2023-01-19 | GSE171791 | GEO

RNA-sequencing to idendify differentially expressed mRNAs after knockdown of YTHDF2 in cerebellar granule cells

Project description:To identify differentially expressed mRNAs after knockdown of YTHDF2 in granule cells, we perfomed RNA-seq. Cultured granule cells were infected with lentiviral shYthdf2 or shCtrl. Total RNA was collected and subjected to construct sequencing libraries using NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB). After sequencencing, the filtered reads were mapped to the mouse reference genome (GRCm38) using STAR v2.5 with default parameters. The resulting bam files were fed to HTSeq tool to count the number of RNA-seq reads, which was further normalized to calculate FPKM. Differential expression analysis of two groups (shYthdf2 vs shCtrl) (three biological replicates per group) was performed using the DESeq R package (version 1.18.0). Altogether 923 mRNA were differentially regulated, among which 587 mRNA were upregulated after YTHDF2 KD. This study provides a gene list which shows differentially expressed mRNAs after knockdown of YTHDF2 in granule cells.

2021-12-10 | GSE153688 | GEO

MeRIP, RIP and RNA Sequencing of the H1299 stable cell lines which the endogenous YTHDF2 was silenced by a short hairpin RNA targeting YTHDF2 3’UTR (shYTHDF2) and then re-expressed Flag-tagged YTHDF2-WT orYTHDF2-K571R

Project description:SUMOylation affects many aspects of target proteins such as activity, stability, localization and protein-protein interactions. We have found that SUMOylation of YTHDF2 increased its binding activity with m6A-RNAs by using different experimental approaches. To confiremd this conclusion,the analysis of RIP-seq, MeRIP-seq and RNA-seq in H1299-shYTHDF2 cells re-expressing YTHDF2-WT and YTHDF2-K571R was performed. MeRIP+RIP targets showed lower binding affinities in the mutant YTHDF2-K571R when compared with YTHDF2-WT. Compared to the control group, the binding capacities of YTHDF2 to RIP targets in treated group with either 2-D08 or GA were decreased, especially to MeRIP+RIP targets. Moreover, SUMOylated YTHDF2 promoted m6A-RNAs degradation. Combined analysis of RNA-seq, RIP-seq and MeRIP-seq showed that the mRNA levels were up-regulated in shYTHDF2 stable cells re-expressing YTHDF2-K571R compared with those in re-expressing YTHDF2-WT.

2021-01-26 | GSE164917 | GEO

RNA-sequencing to identify differentially expressed mRNAs after knockout of YTHDF2 in granule cells of mouse hippocampus dentate gyrus

Project description:To identify differentially expressed mRNAs after knockout of YTHDF2 in granule cells of mouse hippocampus dentate gyrus, we perfromed RNA-seq. Total RNA from DG deficient in YTHDF2 and the negative control DG were collected and subjected to construct sequencing libraries using NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB). After sequencencing, the filtered reads were mapped to the mouse reference genome (GRCm38) using HISAT2 v2.0.5 with default parameters. The resulting bam files were fed to featureCounts v1.5.0-p3 to count the number of RNA-seq reads, which was further normalized to calculate FPKM. Differential expression analysis of two groups (cKO vs NC) (three biological replicates per group) was performed using the DESeq2 package (version 1.20.0). Altogether 779 mRNA were differentially regulated, among which 536 mRNA were upregulated after YTHDF2 KD. This study provides a gene list which shows differentially expressed mRNAs after knockout of YTHDF2 in granule cells of mouse hippocampus dentate gyrus.

2023-01-19 | GSE171790 | GEO

Anti YTHDF2 RIP-seq to identify YTHDF2 target mRNAs in P0 mouse retinas

Project description:Anti YTHDF2 RIP-seq to identify YTHDF2 target mRNAs in P0 mouse retinas

| PRJNA607064 | ENA

Anti-YTHDF1 and anti-YTHDF2 RIP-Seq to identify the target mRNAs for YTHDF1 and YTHDF2, respectively

Project description:Anti-YTHDF1 and anti-YTHDF2 RIP-Seq to identify the target mRNAs for YTHDF1 and YTHDF2, respectively

| PRJNA643706 | ENA

Microarray profiling of YTHDF2 deficient mouse oocytes

Project description:To study the role of the protein YTHDF2 during female gametogenesis, its gene was conditionally deleted in oocytes. Total RNA samples from YTHDF2 deficient GV and MII oocytes (and control oocytes) were subjected to array profiling.

2018-02-12 | E-MTAB-5576 | biostudies-arrayexpress

Targeting the RNA m6A reader YTHDF2 in tumor-associated macrophages shapes tumor immunity and immunotherapy

Project description:The presence of tumor-associated macrophages (TAMs) in the tumor microenvironment (TME) affects cancer progression and immunotherapy response. The RNA m6A methylation, an epigenetic modification, has recently been found to play a pivotal role in shaping the TME. However, the role and underlying mechanisms by which RNA m6A methylation regulates TAMs function and anti-tumor immunity remain elusive. Here we show that depletion of YTHDF2, a well-known m6A reader, in TAMs suppresses tumor growth and metastasis. Myeloid YTHDF2 deficiency reprograms TAMs to anti-tumorigenic type and increases their cross-presentation ability, thereby enhancing CD8+T cell-mediated anti-tumor immunity. Transcriptome-wide screening identifies YTHDF2 deficiency facilitates anti-tumorigenic TAMs reprogramming through targeting IFN-γSTAT1 signaling. Selectively targeting YTHDF2 in TAMs using toll-like receptor 9 agonist - conjugated small interfering RNA against YTHDF2 effectively promotes anti-tumor immunity, restrains tumor growth, and enhances the efficacy of anti-PD-L1 therapy. Together, our findings suggest that YTHDF2 in TAMs might be a promising therapeutic target for cancer immunotherapy.

2022-08-01 | GSE188400 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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