Single-Cell Spatial Transcriptomics Unveils Platelet-Fueled Cycling Macrophages for Kidney Fibrosis
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PROVIDER: PRJNA1134151 | ENA |
REPOSITORIES: ENA
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Project description:With the increasing incidence of kidney diseases, there is an urgent need to develop therapeutic strategies to combat post-injury fibrosis. Immune cells, including platelets, play a pivotal role in this repair process, primarily through their released cytokines. However, the specific role of platelets in kidney injury and subsequent repair remains underexplored. Here, our research underscores the detrimental role of platelets in renal recovery following ischemia/reperfusion injury. We show that depleting platelets accelerates injury resolution and significantly reduces fibrosis. Employing advanced single-cell and spatial transcriptomic techniques, we identify macrophages as the primary mediators modulated by platelet signals. We uncover a novel subset of macrophages, termed "cycling M2", which exhibit an M2 phenotype combined with enhanced proliferative activity. This subset emerges in the injured kidney during the resolution phase and is shaped by platelet-derived thrombospondin 1 (THBS1) signaling, acquiring profibrotic characteristics. Conversely, strategic inhibition of THBS1, achieved through either genetic deletion or pharmacologic suppression, markedly downregulates the cycling M2 macrophage, thereby mitigating fibrotic progression. Overall, our findings highlight the adverse role of platelet THBS1-boosted cycling M2 macrophages in renal injury repair and suggest platelet THBS1 as a promising therapeutic target for alleviating inflammation and kidney fibrosis.
2025-07-15 | GSE271934 | GEO
Project description:With the increasing incidence of kidney diseases, there is an urgent need to develop therapeutic strategies to combat post-injury fibrosis. Immune cells, including platelets, play a pivotal role in this repair process, primarily through their released cytokines. However, the specific role of platelets in kidney injury and subsequent repair remains underexplored. Here, the detrimental role of platelets in renal recovery following ischemia/reperfusion injury and its contribution to acute kidney injury to chronic kidney disease transition is aimed to investigated. In this study, it is shown that depleting platelets accelerates injury resolution and significantly reduces fibrosis. Employing advanced single-cell and spatial transcriptomic techniques, macrophages as the primary mediators modulated by platelet signals is identified. A novel subset of macrophages, termed "cycling M2", which exhibit an M2 phenotype combined with enhanced proliferative activity is uncovered. This subset emerges in the injured kidney during the resolution phase and is modulated by platelet-derived thrombospondin 1 (THBS1) signaling, acquiring profibrotic characteristics. Conversely, targeted inhibition of THBS1 markedly downregulates the cycling M2 macrophage, thereby mitigating fibrotic progression. Overall, this findings highlight the adverse role of platelet THBS1-boosted cycling M2 macrophages in renal injury repair and suggest platelet THBS1 as a promising therapeutic target for alleviating inflammation and kidney fibrosis.
| S-EPMC11304276 | biostudies-literature
Project description:MicroRNAs (miRNAs) regulate cell physiology by altering protein expression, but the biology of platelet miRNAs is largely unexplored. We tested whether platelet miRNA levels were associated with platelet reactivity by genome-wide profiling using platelet RNA from 19 healthy subjects. We found that human platelets express 284 miRNAs. Unsupervised hierarchical clustering of miRNA profiles resulted in 2 groups of subjects that appeared to cluster by platelet aggregation phenotypes. Seventy-four miRNAs were differentially expressed (DE) between subjects grouped according to platelet aggregation to epinephrine, a subset of which predicted the platelet reactivity response. Using whole genome mRNA expression data on these same subjects, we computationally generated a high-priority list of miRNA-mRNA pairs in which the DE platelet miRNAs had binding sites in 3'UTRs of DE mRNAs, and the levels were negatively correlated. Three miRNA-mRNA pairs (miR-200b:PRKAR2B, miR-495:KLHL5 and miR-107:CLOCK) were selected from this list and all 3 miRNAs knocked down protein expression from the target mRNA. Reduced activation from platelets lacking PRKAR2B supported these findings. In summary, (1) platelet miRNAs are able to repress expression of platelet proteins, (2) miRNA profiles are associated with and may predict platelet reactivity, and (3) bioinformatic approaches can successfully identify functional miRNAs in platelets. Total RNA from the platelets of 19 donors was harvested and labeled with Hy3. Reference RNA (a pool of all samples) was labeled with Hy5. This submission represents the miRNA expression component of the study.
2011-09-26 | E-GEOD-27917 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) regulate cell physiology by altering protein expression, but the biology of platelet miRNAs is largely unexplored. We tested whether platelet miRNA levels were associated with platelet reactivity by genome-wide profiling using platelet RNA from 19 healthy subjects. We found that human platelets express 284 miRNAs. Unsupervised hierarchical clustering of miRNA profiles resulted in 2 groups of subjects that appeared to cluster by platelet aggregation phenotypes. Seventy-four miRNAs were differentially expressed (DE) between subjects grouped according to platelet aggregation to epinephrine, a subset of which predicted the platelet reactivity response. Using whole genome mRNA expression data on these same subjects, we computationally generated a high-priority list of miRNA-mRNA pairs in which the DE platelet miRNAs had binding sites in 3'UTRs of DE mRNAs, and the levels were negatively correlated. Three miRNA-mRNA pairs (miR-200b:PRKAR2B, miR-495:KLHL5 and miR-107:CLOCK) were selected from this list and all 3 miRNAs knocked down protein expression from the target mRNA. Reduced activation from platelets lacking PRKAR2B supported these findings. In summary, (1) platelet miRNAs are able to repress expression of platelet proteins, (2) miRNA profiles are associated with and may predict platelet reactivity, and (3) bioinformatic approaches can successfully identify functional miRNAs in platelets.
2011-09-27 | GSE27917 | GEO
Project description:This trial studies how well cycling works in preventing colorectal cancer in participants with Lynch syndrome. Exercise such as cycling may reduce colorectal cancer risk in participants with Lynch syndrome.
| 2270666 | ecrin-mdr-crc
Project description:Impact of high platelet turnover on the platelet transcriptome: Results from platelet RNA-sequencing in patients with sepsis
| PRJEB45262 | ENA
Project description:The aim of this project was to elucidate the microRNA profile of platelets and of platelet-derived microparticles isolated from clinical platelet concentrates treated or not with pathogen reduction technologies.
2020-04-09 | GSE138735 | GEO
Project description:To explore the diverse platelet microRNA (miRNA) expression between high platelet reactivity (HPR) and low platelet reactivity (LPR) patients with acute coronary syndromes (ACS), we enrolled a cohort of ACS patients and performed miRNA expression profiling of platelets from four HPR and four LPR patients using human miRNA microarray system. VerifyNow P2Y12 assay was applied to indentify HPR and LPR. Venous blood was drawn from the patients and was centrifuged to prepare platelets. Among the candidate differentially expressed miRNAs, miR-15b expression was further confirmed to be lower in platelets of 22 HPR patients than 17 LPR by quantitative reverse-transcription polymerase chain reaction (RT-qPCR). We enrolled a consecutive cohort of 290 ACS patients and assessed the platelet reactivity using VerifyNow P2Y12 assay. In this study, HPR was defined as M-bM-^IM-%300 platelet reactivity unit (PRU) while LPR <170 PRU. miRNA microarray analysis was performed in platelets of four HPR and four LPR patients with ACS.
2014-07-17 | E-GEOD-59488 | biostudies-arrayexpress
Project description:The purpose of this study was to perform an unbiased RNA expression profile in platelets from HIV subjects under ART and healthy controls to identify a gene signature for the HIV hyperactive phenotype. Methods: Rna-Sequencing was performed in leukocyte-depleted platelet RNA from 6 HIV subjects and 3 healthy controls. qRT–PCR validation was performed to validate our candidate transcripts. Results: Across the 9 platelet samples, there was an average of 28.3 million mapped reads per sample with an average unique mapping rate of 91.6 %. Using a cut-off of normalized counts ≥1 across the 9 samples, we found 11988 expressed transcripts. Conclusions: Our study represents a detailed analysis of platelet transcriptome generated by RNA-seq technology in HIV patients under ART. Further experiments identified the mechanism of our transcript target in mediating platelet activity and platelet cell effector function.
2018-06-10 | GSE99737 | GEO
Project description:For the anucleate platelet it has been unclear how well platelet transcriptomes correlate among different donors or across different RNA profiling platforms, and what the transcriptomes’ relationship is with the platelet proteome. We generated RNA-seq pro-files of the long RNA transcriptomes from the platelets of 10 healthy young males (5 white and 5 black) with median age of 24.5 years, no notable clinical history, and no pre-vious history of thrombosis or bleeding. We also profiled the subjects’ messenger RNAs using the Affymetrix microarray gene expression system. We found that the abundance of platelet mRNA transcripts was highly correlated across the 10 individuals, inde-pendently of race and of the employed technology. Our RNA-seq data also showed that these high inter-individual correlations extend beyond mRNAs to several categories of non-coding RNAs. Pseudogenes represented a notable exception to this by exhibiting a clear difference in expression by race. Comparison of our mRNA signatures with the only publicly available quantitative platelet proteome data showed that most (87.5%) identified platelet proteins had a detectable corresponding mRNA. However, a high number of mRNAs that were present in the transcriptomes of all 10 individuals had no representa-tion in the proteome. The Spearman correlation of the relative abundances for those platelet genes that were represented by both an mRNA and a protein showed a weak (~0.3) yet statistically significant (P=5.0E-16) connection. Further analysis of the overlap-ping and non-overlapping platelet mRNAs and proteins identified gene groups corre-sponding to distinct cellular processes, a finding that provides novel insights for platelet biology. This represents the Affymetrix GeneChip component of the study only 10 Resting Human Platelet samples
2015-01-20 | E-GEOD-50858 | biostudies-arrayexpress