Dataset Information

Plasma functionalization of PCL nanofibers changes protein interactions with cells resulting in increased cell viability

ABSTRACT: The surface properties of electrospun scaffolds can greatly influence protein adsorption and thus strongly dictate cell-material interactions. In this study, we aim to investigate possible correlations between the surface properties of argon, nitrogen and ammonia/helium plasma-functionalized polycaprolactone (PCL) nanofibers and their cellular interactions by examining the protein corona patterns of the plasma-treated nanofibers as well as the cell membrane proteins involved in cell proliferation. As a result of the performed plasma treatments, PCL nanofiber morphology was preserved while wettability was improved profoundly after all treatments because of the incorporation of polar surface groups. Depending on the discharge gas, different types of groups are incorporated which influenced the resultant cell-material interactions. Argon plasma-functionalized PCL nanofibers, only enriched by oxygen-containing functional groups, were found to show the best cell-material interactions, followed by N2 and He/NH3 plasma-treated samples. SDS-PAGE and LC-MS clearly indicated an increased protein retention compared to non-treated PCL NFs. The most differential proteins surface a distinct molecular machinery mediating the increased proliferation and viability on plasma treated NF. Finally, differential protein analysis between the different plasma’s gives a first hint into the molecular underpinning of the superior performance of Argon NF.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture, Fibroblast

SUBMITTER: Maarten Dhaenens

LAB HEAD: Dieter Deforce

PROVIDER: PXD010910 | Pride | 2018-08-29

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	170627_MS_Mahtab_Ar_Cell_a.raw.zip	Raw
	170627_MS_Mahtab_Ar_Cell_b.raw.zip	Raw
	170627_MS_Mahtab_Ar_Cell_c.raw.zip	Raw
	170627_MS_Mahtab_Cell_QCb.raw.zip	Raw
	170627_MS_Mahtab_Cell_QCc.raw.zip	Raw

Items per page:

1 - 5 of 17

Publications

Plasma Functionalization of Polycaprolactone Nanofibers Changes Protein Interactions with Cells, Resulting in Increased Cell Viability.

Asadian Mahtab M Dhaenens Maarten M Onyshchenko Iuliia I De Waele Stijn S Declercq Heidi H Cools Pieter P Devreese Bart B Deforce Dieter D Morent Rino R De Geyter Nathalie N

ACS applied materials & interfaces 20181129 49

The surface properties of electrospun scaffolds can greatly influence protein adsorption and, thus, strongly dictate cell-material interactions. In this study, we aim to investigate possible correlations between the surface properties of argon, nitrogen, and ammonia and helium plasma-functionalized polycaprolactone (PCL) nanofibers (NFs) and their cellular interactions by examining the protein corona patterns of the plasma-treated NFs as well as the cell membrane proteins involved in cell prolif ...[more]

PMID: 30444341

Similar Datasets

Project description:Clonorchis sinensis is a zoonotic parasite causing clonorchiasis associated with human diseases such as biliary calculi, cholecystitis, liver cirrhosis, and is classified as carcinogenic to humans for cholangiocarcinoma. MicroRNAs (miRNAs) are non-coding, regulating small RNA molecules essential for the complex life cycle of parasites and involved in parasitic infections. To identify and characterize miRNAs expressed in adult C. sinensis residing chronically in the biliary tract, we developed an integrative approach combining deep sequencing, bioinformatic predictions with stem-loop real-time PCR analysis. Here we report the use of this approach to identify and clone 6 new and 62,512 conserved C. sinensis miRNAs which belong to 284 families. There is strong bias on families, family members and sequence nucleotides in C. sinensis. Uracil is the dominant nucleotide, particularly at positions 1, 14 and 22, which were located approximately at the beginning, middle and the end of conserved miRNAs. There is no significant M-bM-^@M-^\seed regionM-bM-^@M-^] at the first and ninth positions commonly found in human, animals and plants. Categorization of conserved miRNAs indicated that miRNAs of C. sinensis are still innovated and concentrated along three branches of the phylogenetic tree leading to bilaterians, insects and coelomates. There are two miRNA strategies in C. sinensis for its parasitic life: keeping a large category of miRNA families of different animals and keeping a stringent conserved seed region with high active innovation in other place of miRNA mainly in the middle and the end, which are perfect for the parasite to perform its complex life style and for host changes. The present study represents the first large scale characterization of C. sinensis miRNAs, which have implications for understanding the complex biology of this zoonotic parasite, as well as the miRNA studies of other related species such as Opisthorchis felineus and O. viverrini of human and animal health significance. Analysis of miRNA profile in parasite of C. sinensis

Project description:MicroRNAs (miRNAs) regulate many genes critical for tumorigenesis. We profiled miRNAs from 11 normal breast tissues, 17 non-invasive, 151 invasive breast carcinomas, and 6 cell lines by in-house-developed barcoded Solexa sequencing. miRNAs were organized in genomic clusters representing promoter-controlled miRNA expression and sequence families representing seed-sequence-dependent miRNA-target regulation. Unsupervised clustering of samples by miRNA sequence families best reflected the clustering based on mRNA expression available for this sample set. Clustering and comparative analysis of miRNA read frequencies showed that normal breast samples were separated from most non-invasive ductal carcinoma in situ and invasive carcinomas by increased miR-21 (the most abundant miRNA in carcinomas) and multiple decreased miRNA families (including mir-98/let-7), with most miRNA changes apparent already in the non-invasive carcinomas. In addition, patients that went on to develop metastasis demonstrated increased expression of mir-423, and triple negative breast carcinomas were most distinct from other tumor subtypes due to up-regulation of the mir-17~92 cluster. However, absolute miRNA levels between normal breast and carcinomas did not reveal any significant differences. We also discovered two polymorphic nucleotide variations among the more abundant miRNAs miR-181a (T19G) and miR-185 (T16G), but we did not identify nucleotide variations expected for classical tumor suppressor function associated with miRNAs. The differentiation of tumor subtypes and prediction of metastasis based on miRNA levels is statistically possible, but is not driven by deregulation of abundant miRNAs, implicating far fewer miRNAs in tumorigenic processes than previously suggested. 21 barcoded sequencing runs, including 185 unique samples and 54 samples in replicate (6 in triplicate and the remaining in duplicate). The details of each sample can be found in Supplementary Tables S1 and S2.