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Baiqu Bio-iTRAQ/TMT labeling quantitative proteome research is to label all proteins expressed in a genome or all proteins
in a complex mixed system, and use the secondary reporter ions in the labeling reagent to accurately identify and quantify the proteins
.
Next, let’s interpret it with Aqu
.
in a complex mixed system, and use the secondary reporter ions in the labeling reagent to accurately identify and quantify the proteins
.
Next, let’s interpret it with Aqu
.
Article Title: Profilin 1 Induces Tumor Metastasis by Promoting Microvesicle Secretion Through the ROCK 1/p-MLC Pathway in Non-SmallCell Lung Cancer
Published journal: Frontiers in Pharmacology
Release time: 2022.
5
5
Impact factor: 5.
988
988
Cooperation unit: Xiangya Hospital of Central South University
Baiqu Bio provides services: TMT-labeled proteome
01 Summary
Profilin 1 (PFN1), an actin-binding protein, has diverse roles in the metastasis of several cancers; however, its role in non-small cell lung cancer (NSCLC) metastasis remains unclear
.
The authors applied TMT marker quantitative proteome technology to study the mechanism of TMT-induced tumor metastasis
.
Proteomic analysis revealed that PFN1 was involved in microvesicle (MV) secretion
.
The abundance of MVs was increased in the sera of metastatic NSCLC patients compared with the sera of non-metastatic NSCLC patients
.
Both in vitro and in vivo experiments demonstrated that PFN1 could increase MV secretion and that MVs derived from PFN1-overexpressing cells significantly promoted NSCLC metastasis
.
It was also found that PFN1 could interact with ROCK1 and enhance its kinase activity to promote myosin light chain (MLC) phosphorylation to promote MV secretion
.
Inhibition of ROCK1 reduced MV secretion and partially reversed the promotion of PFN1-induced NSCLC metastasis
.
Collectively, these findings suggest that PFN1 regulates MV secretion to promote NSCLC metastasis
.
PFN1 and MV represent potential predictors or therapeutic targets for NSCLC metastasis
.
.
The authors applied TMT marker quantitative proteome technology to study the mechanism of TMT-induced tumor metastasis
.
Proteomic analysis revealed that PFN1 was involved in microvesicle (MV) secretion
.
The abundance of MVs was increased in the sera of metastatic NSCLC patients compared with the sera of non-metastatic NSCLC patients
.
Both in vitro and in vivo experiments demonstrated that PFN1 could increase MV secretion and that MVs derived from PFN1-overexpressing cells significantly promoted NSCLC metastasis
.
It was also found that PFN1 could interact with ROCK1 and enhance its kinase activity to promote myosin light chain (MLC) phosphorylation to promote MV secretion
.
Inhibition of ROCK1 reduced MV secretion and partially reversed the promotion of PFN1-induced NSCLC metastasis
.
Collectively, these findings suggest that PFN1 regulates MV secretion to promote NSCLC metastasis
.
PFN1 and MV represent potential predictors or therapeutic targets for NSCLC metastasis
.
02Experimental results 1.
PFN1 is associated with NSCLC metastasis and can promote NSCLC cell migration in vitro
PFN1 is associated with NSCLC metastasis and can promote NSCLC cell migration in vitro
In order to study the role of PFN1 in NSCLC, the authors used IHC method, tissue chip quantification and other experiments to show that PFN1 is involved in the metastasis of NSCLC, and constructed cell lines to detect the effects of overexpression and knockout by RT-qPCR and Western analysis.
Wound healing and Transwell migration assays were also used to determine the effect of PFN1 on migration
.
Wound healing and Transwell migration assays were also used to determine the effect of PFN1 on migration
.
Figure 1.
IHC analysis images of PFN1 in NSCLC tissue/Kaplan–Meier survival analysis
IHC analysis images of PFN1 in NSCLC tissue/Kaplan–Meier survival analysis
2.
PFN1 can promote the secretion of Mv in NSCLC
PFN1 can promote the secretion of Mv in NSCLC
To further investigate the molecular differences between EV and PFN1 OE cells and possible signaling pathways affecting NSCLC
.
The authors utilized a proteomics-based approach (TMT quantitative proteomics) to characterize the protein levels between them
.
Differential proteins (DEPs) were screened by P value < 0.
05 and fold change ≤ 0.
83 or fold change ≥ 1.
2
.
The results identified 581 differential proteins, of which 327 were up-regulated and 254 were down-regulated (Fig.
2)
.
.
The authors utilized a proteomics-based approach (TMT quantitative proteomics) to characterize the protein levels between them
.
Differential proteins (DEPs) were screened by P value < 0.
05 and fold change ≤ 0.
83 or fold change ≥ 1.
2
.
The results identified 581 differential proteins, of which 327 were up-regulated and 254 were down-regulated (Fig.
2)
.
Figure 2.
Heatmap of differentially expressed protein analysis
Heatmap of differentially expressed protein analysis
Next, enrichment analysis was used to determine whether these DEPs could point to any specific biological function, allowing insight into how they differ in biological function
.
GO annotations indicated that DEPs were involved in protein binding, cellular component organization or biogenesis, and organelle organization (Fig.
3)
.
Most of the differentially expressed proteins were associated with organelles, consistent with a role for PFN1 in cell membrane trafficking
.
Cluster of homologous protein (COG/KOG) analysis revealed that DEPs are involved in post-translational modification, protein turnover, chaperones, intracellular trafficking, secretion, vesicular transport and signal transduction mechanisms (Fig.
4)
.
Through proteomic analysis, we infer that PFN1 may be involved in extracellular vesicle secretion through protein interaction and signal transduction, thereby promoting NSCLC metastasis
.
.
GO annotations indicated that DEPs were involved in protein binding, cellular component organization or biogenesis, and organelle organization (Fig.
3)
.
Most of the differentially expressed proteins were associated with organelles, consistent with a role for PFN1 in cell membrane trafficking
.
Cluster of homologous protein (COG/KOG) analysis revealed that DEPs are involved in post-translational modification, protein turnover, chaperones, intracellular trafficking, secretion, vesicular transport and signal transduction mechanisms (Fig.
4)
.
Through proteomic analysis, we infer that PFN1 may be involved in extracellular vesicle secretion through protein interaction and signal transduction, thereby promoting NSCLC metastasis
.
Figure 3.
GO enrichment analysis of differentially expressed proteins
GO enrichment analysis of differentially expressed proteins
Figure 4.
COG/KOG analysis of differentially expressed proteins
COG/KOG analysis of differentially expressed proteins
Since PFN1 plays an important role in cell membrane trafficking and MVs are key mediators of cancer metastasis, we extracted extracellular vesicles (MVs and exosomes) from the serum of clinical samples
.
Through a series of experiments, it was found that PFN1 may regulate the phosphorylation of MLC, and phosphorylation can regulate the secretion of MV
.
.
Through a series of experiments, it was found that PFN1 may regulate the phosphorylation of MLC, and phosphorylation can regulate the secretion of MV
.
3.
MVs from PFN1OE cells promote the migration of NSCLC cells
MVs from PFN1OE cells promote the migration of NSCLC cells
Mv is a key mediator of cancer metastasis
.
The authors collected serum samples from patients with metastatic (n=25) and non-metastatic (n=20) lung cancers and extracted Mv (Fig.
5)
.
Through a series of overexpression, as well as wound healing and Transwell migration experiments, the authors found that PFN1 may promote NSCLC metastasis by inducing MV secretion
.
.
The authors collected serum samples from patients with metastatic (n=25) and non-metastatic (n=20) lung cancers and extracted Mv (Fig.
5)
.
Through a series of overexpression, as well as wound healing and Transwell migration experiments, the authors found that PFN1 may promote NSCLC metastasis by inducing MV secretion
.
Figure 5.
Schematic representation of the metastatic mouse model established to determine the role of PFN1 in tumor metastasis
Schematic representation of the metastatic mouse model established to determine the role of PFN1 in tumor metastasis
4.
PFN1 promotes NSCLC metastasis in vivo by enhancing MV secretion
To further study the role of PFN1 in NSCLC metastasis, we established a mouse model of tumor metastasis by intracardiac injection of H1299NSCLC cells, and the results further confirmed the role of PFN1 in NSCLC metastasis role (Figure 6)
.
PFN1 promotes NSCLC metastasis in vivo by enhancing MV secretion
To further study the role of PFN1 in NSCLC metastasis, we established a mouse model of tumor metastasis by intracardiac injection of H1299NSCLC cells, and the results further confirmed the role of PFN1 in NSCLC metastasis role (Figure 6)
.
Figure 6.
Representative images of HE-stained mouse model lung tissue/PFN1 and p-MLC expression in lung tissue
Representative images of HE-stained mouse model lung tissue/PFN1 and p-MLC expression in lung tissue
5.
The mechanism
by Through experiments such as knockdown, overexpression, co-IP, Western blot, immunofluorescence, and flow cytometry, it was found that PFN1 can interact with ROCK1, enhance its kinase activity, and indirectly promote MLC phosphorylates and ultimately induces MV secretion
.
The ROCK1 inhibitor Y27632 partially reversed the effects of PFN1 in promoting MLC phosphorylation and MV secretion (Fig.
7)
.
The mechanism
by Through experiments such as knockdown, overexpression, co-IP, Western blot, immunofluorescence, and flow cytometry, it was found that PFN1 can interact with ROCK1, enhance its kinase activity, and indirectly promote MLC phosphorylates and ultimately induces MV secretion
.
The ROCK1 inhibitor Y27632 partially reversed the effects of PFN1 in promoting MLC phosphorylation and MV secretion (Fig.
7)
.
Figure 7.
Protein expression/PF after PFN1 overexpression (A)/knockdown (B) by western blotting
Protein expression/PF after PFN1 overexpression (A)/knockdown (B) by western blotting
6.
The ROCK1 inhibitor Y27632 partially reversed the effects of PFN1 on NSCLC metastasis both in vivo and in vitro.
Wound healing experiments showed (Fig.
8) that Y27632-treated cells overexpressing PFN1 reduced migration to those of EV cells.
Next, the overexpression of PFN1-derived cell-derived MVs were added to y27632-treated cells, and it was found that Y27632 did not reverse the migration induced by PFN1-overexpressing cell-derived MVs.
Similar results were obtained from Transwell migration experiments, which were also validated with a mouse model.
these results
.
The ROCK1 inhibitor Y27632 partially reversed the effects of PFN1 on NSCLC metastasis both in vivo and in vitro.
Wound healing experiments showed (Fig.
8) that Y27632-treated cells overexpressing PFN1 reduced migration to those of EV cells.
Next, the overexpression of PFN1-derived cell-derived MVs were added to y27632-treated cells, and it was found that Y27632 did not reverse the migration induced by PFN1-overexpressing cell-derived MVs.
Similar results were obtained from Transwell migration experiments, which were also validated with a mouse model.
these results
.
Figure 8.
Wound healing assay to evaluate the efficacy of Y27632
Wound healing assay to evaluate the efficacy of Y27632
03Summary
The results show that PFN1 is a key actin regulatory protein, one of the key proteins regulating the actin cytoskeleton, and it promotes the release of MV through the ROCK/p-MLC pathway, thereby promoting the metastasis of NSCLC
.
Therefore, PFN1 may be a potential therapeutic target for NSCLC metastasis
.
By reducing the release of MVs, it is possible to partially reverse the migration of NSCLC cells induced by PFN1 overexpression
.
This study provides a potential new approach for targeted metastasis therapy in NSCLC, which is worthy of further study
.
.
Therefore, PFN1 may be a potential therapeutic target for NSCLC metastasis
.
By reducing the release of MVs, it is possible to partially reverse the migration of NSCLC cells induced by PFN1 overexpression
.
This study provides a potential new approach for targeted metastasis therapy in NSCLC, which is worthy of further study
.
2022 is more than halfway through.
In the past six months, BIOTREE has assisted customers to achieve remarkable results in related fields such as metabolomics, proteomics and multi-omics
.
According to incomplete statistics, up to now, Baiqu has successfully helped to publish 100+ articles, the average IF is 9.
35, the highest IF=46.
297, and 62 of them have a score of 5 or more, creating a historical high in both quantity and quality! In these studies, Baiqu provided researchers with discovery metabolomics, GC-MS non-target metabolomics, 600MRM, proteomics, traditional Chinese medicine non-target metabolomics, plant MRM Aquguang Target® metabolomics , target metabolic flux, macrovirome and other services
.
In the past six months, BIOTREE has assisted customers to achieve remarkable results in related fields such as metabolomics, proteomics and multi-omics
.
According to incomplete statistics, up to now, Baiqu has successfully helped to publish 100+ articles, the average IF is 9.
35, the highest IF=46.
297, and 62 of them have a score of 5 or more, creating a historical high in both quantity and quality! In these studies, Baiqu provided researchers with discovery metabolomics, GC-MS non-target metabolomics, 600MRM, proteomics, traditional Chinese medicine non-target metabolomics, plant MRM Aquguang Target® metabolomics , target metabolic flux, macrovirome and other services
.
Article/Aqu Metabolomics