Gene expression profiles in wild-type and SUMO knockdown mice after forebrain ischemia
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE80681 | GEO | 2016/08/01
SECONDARY ACCESSION(S): PRJNA319675
REPOSITORIES: GEO
Similar Datasets
Project description:Transient brain ischemia massively activates global SUMOylation. A large fraction of SUMO targets are nuclear proteins involved in gene expression. However, gene expression profile modulated by ischemia-induced SUMOylation has not been studied. Using a SUMO knockdown (SUMO-KD) mouse model and microarray technique, we investigated how SUMOylation modulated gene expression after brain ischemia. Wild-type and SUMO-KD mice were subjected to transient forebrain ischemia or sham surgery. The hippocampal CA1 subfield samples collected at 3 hours reperfusion were analyzed using Affymetrix microarrays.
2016-08-01 | E-GEOD-80681 | biostudies-arrayexpress
Project description:To study the function of SUMOylation and SUMO-SIM interactions for particular substrates poses several challenges. SUMOylation occurs transiently and often in a small percentage of the total copy numbers of a given substrate. Modified proteins can be readily deSUMOylated and SUMO can be recycled and passed to other substrates. SUMO-SIM interactions are also difficult to analyze due to their weak affinity (Kd 1-100 µM). To overcome these technical issues, we developed SUMO-ID, a new strategy based on Split-TurboID to identify SUMO- interactors of specific substrates dependent on SUMO conjugation or interaction. Here we present SUMO-ID, a technology that merges proximity biotinylation by TurboID and protein-fragment complementation to find SUMO-dependent interactors. , the high sensitivity of SUMO-ID allowed to identify novel interactors of SUMOylated SALL1, a less characterized SUMO substrate.
2021-09-21 | PXD021923 | Pride
Project description:Protein SUMOylation orchestrates diverse cellular processes and is linked to diseases such as cancer and neurodegenerative disorders. However, large-scale identification endogenous SUMO-1 poses challenges due to current enrichment methods limitations and its lower abundance compared to SUMO-2/3. To solve this problem, we developed a series of novel peptide ligands via phage display, specifically targeting the C-terminal region of SUMO-1 remnants. These peptide ligands exhibited robust affinity for SUMO-1 modified peptide segments, facilitating the development of a peptide-based enrichment strategy. Using this strategy, we mapped 1312 SUMOylation sites in HeLa cells, unveiling a comprehensive SUMOylation landscape. We further applied our approach to the Alzheimer's disease (AD) model mice, revealing 1364 SUMOylation sites and 991 endogenous SUMOylation proteins in mice brain tissues. Notably, AD mice brain tissues exhibited significantly elevated SUMO-1 modification levels. Differential protein analysis, including previously unreported SUMOylation substrates, were identified and the reliability of our identification strategy was validated through SUMO-1 modification of ULK2 in AD mice brain tissues by co-immunoprecipitation. This work advances endogenous SUMO-1 proteome, providing insights and potential disease targets, particularly for AD. Moreover, our strategy, bolstered by the utility of phage display technology, opens new avenues for the development of enrichment materials in various other post-translational modifications.
2024-03-18 | PXD050705 | iProX
Project description:Loss of nutrient supply elicits alterations of the SUMO proteome and sumoylation is crucial to various cellular processes including transcription. However, the physiological significance of sumoylation of transcriptional regulators is unclear. To begin clarifying this, we mapped the SUMO proteome under nitrogen-limiting conditions in Saccharomyces cerevisiae. Interestingly, several RNA polymerase III (RNAPIII) components are major SUMO targets under normal growth conditions, including Rpc53, Rpc82, and Ret1, and nutrient starvation results in rapid desumoylation of these proteins. These findings are supported by ChIP-seq experiments that show that SUMO is highly enriched at tDNA genes. Furthermore, RNA-seq experiments revealed that preventing sumoylation results in significantly decreased tRNA transcription. TORC1 inhibition resulted in the same effect, and our data indicate that the SUMO and TORC1 pathways are both required for robust tDNA expression. Importantly, tRNA transcription was strongly reduced in cells expressing a non-sumoylatable Rpc82-4KR mutant, which correlated with a misassembled RNAPIII transcriptional complex. Our data suggest that in addition to TORC1 activity, sumoylation of RNAPIII is key to reaching full translational capacity under optimal growth conditions.
2017-01-01 | GSE85622 | GEO
Project description:Mouse embryonic fibroblasts (MEFs) were generated from Ubc9fl/- and Ubc9+/+ embryos (E13.5). MEFs were treated with tamoxifen for six days to cause CreERT2 activation, and induce Ubc9 floxed allele deletion. We determined the ChIP-seq profiles of SUMO-1 and SUMO-2 using chromatin of wild-type MEFs Ubc9+/+ and of the corresponding Ubc9 KO MEFs which are entirely depleted for sumoylation. The analysis revealed the nearly complete absence of genome-wide binding of SUMO-1 and SUMO-2 in Ubc9-/- MEFs, attesting for antibody specificities.
2018-10-24 | GSE115842 | GEO
Project description:We expanded our previously reported transcriptome profiling of K-562 cells (GSE85187) by analyzing the global transcriptional change upon rescue of endogenous MYB knock down (KD) with SUMO-conjugation deficient mutant of MYB (2KR-MYB) and SUMO-binding deficient mutant of MYB (ANAA-MYB) in comparison with K-562 cells treated with siGENOME non-targeting siRNA (GSE85187) , endogenous MYB KD treated with si2992 (GSE85187), rescue of endogenous MYB KD with wild-type MYB (GSE85187) and rescue of endogenous MYB KD with D152V mutant of MYB (GSE85187).
2023-07-17 | GSE124542 | GEO
Project description:Proximity-dependent labelling (PL) methods are based on promiscuous labeling enzymes that produce reactive molecules that covalently bind neighbor proteins. Labeled proteins can be then purified and identified using affinity-purification coupled to mass spectrometry methods39. Proximity-dependent biotin identification (BioID)40 uses a promiscuously active Escherichia coli biotin ligase (BirA*) generated by a point mutation (R118G) to biotinylate lysines in nearby proteins within an estimated range of 10 nm41. By fusing BirA* to specific proteins, BioID efficiently identifies interactors at physiological levels in living cells42, 43. It has been extensively used in the Ub field, for instance, to identify substrates of E3 ligases44-46. Recently, a more efficient version of BioID, termed TurboID, has been developed47. TurboID can proximally biotinylate in 10 minutes to the same levels as BioID does in 18 hours, thus making it more suitable for transient protein-protein interaction (PPI) detection. Several studies have developed split-versions and applied “protein fragment complementation” (PCA) to BioID and TurboID, where proximal biotinylation is dependent on the proximity of the fusion partners, opening new opportunities for spatial and temporal identification of complex-dependent interactomes48-50. To study how SUMOylation and SUMO-SIM interactions can lead to other roles and fates for particular substrates poses particular challenges. SUMOylation occurs transiently and often in a small percentage of a given substrate. Modified proteins can be readily deSUMOylated and SUMO can be recycled and passed to other substrates. SUMO-SIM interactions are also difficult to analyze due to their weak affinity (Kd ranging from 1-100 µM). To overcome those technical issues, we developed SUMO-ID, a new strategy based on Split-TurboID to identify SUMO- interactors of specific substrates dependent on SUMO conjugation or interaction. Using PML as a model, we demonstrate that SUMO-ID can enrich for factors that depend on PML-SUMO interaction. Importantly, those are represented among proximal interactors of PML identified using full-length TurboID. We also applied SUMO-ID to a less-characterized SUMO substrate, Spalt like transcription factor 1 (SALL1), and identified both known and novel interactors that depend on intact SUMOylation sites in SALL1. SUMO-ID is thus a powerful tool to study transient and dynamic SUMO-dependent interaction events.
2021-09-20 | PXD021770 | Pride
Project description:Proximity-dependent labelling (PL) methods are based on promiscuous labeling enzymes that produce reactive molecules that covalently bind neighbor proteins. Labeled proteins can be then purified and identified using affinity-purification coupled to mass spectrometry methods39. Proximity-dependent biotin identification (BioID)40 uses a promiscuously active Escherichia coli biotin ligase (BirA*) generated by a point mutation (R118G) to biotinylate lysines in nearby proteins within an estimated range of 10 nm41. By fusing BirA* to specific proteins, BioID efficiently identifies interactors at physiological levels in living cells42, 43. It has been extensively used in the Ub field, for instance, to identify substrates of E3 ligases44-46. Recently, a more efficient version of BioID, termed TurboID, has been developed47. TurboID can proximally biotinylate in 10 minutes to the same levels as BioID does in 18 hours, thus making it more suitable for transient protein-protein interaction (PPI) detection. Several studies have developed split-versions and applied “protein fragment complementation” (PCA) to BioID and TurboID, where proximal biotinylation is dependent on the proximity of the fusion partners, opening new opportunities for spatial and temporal identification of complex-dependent interactomes48-50. To study how SUMOylation and SUMO-SIM interactions can lead to other roles and fates for particular substrates poses particular challenges. SUMOylation occurs transiently and often in a small percentage of a given substrate. Modified proteins can be readily deSUMOylated and SUMO can be recycled and passed to other substrates. SUMO-SIM interactions are also difficult to analyze due to their weak affinity (Kd ranging from 1-100 µM). To overcome those technical issues, we developed SUMO-ID, a new strategy based on Split-TurboID to identify SUMO- interactors of specific substrates dependent on SUMO conjugation or interaction. Using PML as a model, we demonstrate that SUMO-ID can enrich for factors that depend on PML-SUMO interaction. Importantly, those are represented among proximal interactors of PML identified using full-length TurboID. We also applied SUMO-ID to a less-characterized SUMO substrate, Spalt like transcription factor 1 (SALL1), and identified both known and novel interactors that depend on intact SUMOylation sites in SALL1. SUMO-ID is thus a powerful tool to study transient and dynamic SUMO-dependent interaction events.
2021-09-20 | PXD021809 | Pride
Project description:Similar to ubiquitin, SUMO forms chains, but the identity of SUMO-chain-modified factors and the purpose of this modification remain largely unknown. Here, we identify budding yeast SUMO protease Ulp2, able to disassemble SUMO chains, as a DDK interactor enriched at replication origins that promotes DNA replication initiation. Replication-engaged DDK is SUMOylated on chromatin, becoming a degradation-prone substrate when Ulp2 no longer protects it against SUMO-chain assembly. Specifically, SUMO chains channel DDK for SUMO-targeted ubiquitin ligase Slx5/Slx8-mediated and Cdc48 segregase-assisted proteasomal degradation. Importantly, the SUMOylation-defective ddk-KR mutant rescues inefficient replication onset and MCM activation in cells lacking Ulp2, suggesting that SUMO chains time DDK degradation. Using two unbiased proteomic approaches, we further identify subunits of the MCM helicase and other factors as SUMO-chain-modified degradation-prone substrates of Ulp2 and Slx5/Slx8. We thus propose SUMO-chain-/Ulp2-protease-regulated proteasomal degradation as a mechanism that times the availability of functionally-engaged SUMO-modified protein pools during replication and beyond.
2019-09-10 | GSE113835 | GEO
Project description:Proximity-dependent labelling methods are based on promiscuous labeling enzymes that produce reactive molecules that covalently bind neighbor proteins. Labeled proteins can be then purified and identified using affinity-purification coupled to mass spectrometry methods23. Proximity-dependent biotin identification (BioID)24 uses a promiscuously active Escherichia coli biotin ligase (BirA*) generated by a point mutation (R118G) to biotinylate lysines in nearby proteins within an estimated range of 10 nm25. By fusing BirA* to specific proteins, BioID efficiently identifies interactors at physiological levels in living cells26. It has been extensively used in the Ub field, for instance, to identify substrates of E3 ligases27,28. Recently, a more efficient version of BioID, termed TurboID, has been developed29, being this more suitable for transient protein-protein interaction (PPI) detection. Several studies have developed split-versions and applied “protein fragment complementation” to BioID and TurboID, where proximal biotinylation is dependent on the proximity of the fusion partners, opening new opportunities for spatial and temporal identification of complex-dependent interactomes30,31. To study how SUMOylation and SUMO-SIM interactions can lead to other roles and fates for particular substrates poses particular challenges. SUMOylation occurs transiently and often in a small percentage of a given substrate. Modified proteins can be readily deSUMOylated and SUMO can be recycled and passed to other substrates. SUMO-SIM interactions are also difficult to analyze due to their weak affinity (Kd 1-100 μM). To overcome those technical issues, we developed SUMO-ID, a new strategy based on Split-TurboID to identify interactors of specific substrates dependent on SUMO conjugation or interaction. Using PML as a model, we demonstrate that SUMO-ID can enrich for factors that depend on PML-SUMO interaction. Importantly, the identified proteins are represented among proximal interactors of PML identified using full-length TurboID. We also applied SUMO-ID to a less-characterized SUMO substrate, Spalt Like Transcription Factor 1 (SALL1), and identified both known and novel interactors that depend on intact SUMOylation sites in SALL1. SUMO-ID is thus a powerful tool to study transient and dynamic SUMO-dependent interaction events. The developed methodology is generic and therefore widely applicable in the Ub and UbL field to identify readers of these modifications for individual target proteins to improve our insight in non-covalent signal transduction by Ub and UbL.
2021-09-20 | PXD027759 | Pride