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Series GSE240290 Query DataSets for GSE240290
Status Public on Aug 12, 2023
Title Identification of state-specific proteomic and transcriptomic signatures of microglia-derived extracellular vesicles [bulk rna-seq]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Microglia are resident immune cells of the brain that play important roles in mediating inflammatory responses in several neurological diseases via direct and indirect mechanisms. One indirect mechanism may involve extracellular vesicle (EV) release, so that the molecular cargo transported by microglia-derived EVs can have functional effects by facilitating intercellular communication. The molecular composition of microglia-derived EVs, and how microglial activation states impacts EV composition and EV-mediated effects in neuroinflammation, remain poorly understood. We hypothesize that microglia-derived EVs have unique molecular profiles that are determined by microglial activation state. Using size-exclusion chromatography to purify EVs from BV2 microglia, combined with proteomic (label-free quantitative mass spectrometry or LFQ-MS) and transcriptomic (mRNA and non-coding RNA seq) methods, we obtained comprehensive molecular profiles of microglia-derived EVs. LFQ-MS identified several classic EV proteins (tetraspanins, ESCRT machinery, and heat shock proteins), in addition to over 200 proteins not previously reported in the literature. Unique mRNA and microRNA signatures of microglia-derived EVs were also identified. After treating BV2 microglia with lipopolysaccharide (LPS), interleukin-10, or transforming growth factor beta, to mimic pro-inflammatory, anti-inflammatory, or homeostatic states, respectively, LFQ-MS and RNA seq revealed novel state-specific proteomic and transcriptomic signatures of microglia-derived EVs. Particularly, LPS treatment had the most profound impact on proteomic and transcriptomic compositions of microglia-derived EVs. Furthermore, we found that EVs derived from LPS-activated microglia were able to induce pro-inflammatory transcriptomic changes in resting responder microglia, confirming the ability of microglia-derived EVs to relay functionally-relevant inflammatory signals. These comprehensive microglia-EV molecular datasets represent important resources for the neuroscience and glial communities, and provide novel insights into the role of microglia-derived EVs in neuroinflammation.
 
Overall design We equally dosed individual wells of BV2 cells with EVs secreted from control and LPS treated BV2 cells to assess gene expression changes in recipient microglia using RNA sequencing. Resting microglia were treated with extracellular vesicles for 24 hours.
 
Contributor(s) Santiago  JV, Natu A, Ramelow CC, Rayaprolu S, Xiao H, Kumar V, Seyfried NT, Rangaraju S
Citation(s) 37546899, 37952696
Submission date Aug 07, 2023
Last update date Jan 03, 2024
Contact name Srikant Rangaraju
E-mail(s) Srikant.rangaraju@emory.edu
Organization name Emory University
Department Neurology
Street address 615 Michael St
City Atlanta
State/province GA
ZIP/Postal code 30322
Country USA
 
Platforms (1)
GPL21273 HiSeq X Ten (Mus musculus)
Samples (12)
GSM7690775 control Evs Tx_1
GSM7690776 control Evs Tx_2
GSM7690777 control Evs Tx_3
This SubSeries is part of SuperSeries:
GSE240295 Identification of state-specific proteomic and transcriptomic signatures of microglia-derived extracellular vesicles
Relations
BioProject PRJNA1003104

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SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE240290_IL10_BulkRNAseq_Responder_Cells_Processed_Data.csv.gz 384.0 Kb (ftp)(http) CSV
GSE240290_LPS_BulkRNAseq_Responder_Cells_Cleandat.csv.gz 382.8 Kb (ftp)(http) CSV
GSE240290_LPS_BulkRNAseq_Responder_Cells_Processed_Data.csv.gz 382.8 Kb (ftp)(http) CSV
GSE240290_TGFB_BulkRNAseq_Responder_Cells_Processed_Data.csv.gz 381.8 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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