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      Surface Functional Modification by Ti 3C 2T x MXene on PLLA Nanofibers for Optimizing Neural Stem Cell Engineering

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          Abstract

          Optimizing cell substrates by surface modification of neural stem cells (NSCs), for efficient and oriented neurogenesis, represents a promising strategy for treating neurological diseases. However, developing substrates with the advanced surface functionality, conductivity, and biocompatibility required for practical application is still challenging. Here, Ti 3C 2T x MXene is introduced as a coating nanomaterial for aligned poly( l‐lactide) (PLLA) nanofibers (M‐ANF) to enhance NSC neurogenesis and simultaneously tailor the cell growth direction. Ti 3C 2T x MXene treatment provides a superior conductivity substrate with a surface rich in functional groups, hydrophilicity, and roughness, which can provide biochemical and physical cues to support NSC adhesion and proliferation. Moreover, Ti 3C 2T x MXene coating significantly promotes NSC differentiation into both neurons and astrocytes. Interestingly, Ti 3C 2T x MXene acts synergistically with the alignment of nanofibers to promote the growth of neurites, indicating enhanced maturation of these neurons. RNA sequencing analysis further reveals the molecular mechanism by which Ti 3C 2T x MXene modulates the fate of NSCs. Notably, surface modification by Ti 3C 2T x MXene mitigates the in vivo foreign body response to implanted PLLA nanofibers. This study confirms that Ti 3C 2T x MXene provides multiple advantages for decorating the aligned PLLA nanofibers to cooperatively improve neural regeneration.

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          Most cited references72

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          Efficient iterative schemes forab initiototal-energy calculations using a plane-wave basis set

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            Is Open Access

            fastp: an ultra-fast all-in-one FASTQ preprocessor

            Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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              From ultrasoft pseudopotentials to the projector augmented-wave method

              Physical Review B, 59(3), 1758-1775
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Advanced Healthcare Materials
                Adv Healthcare Materials
                Wiley
                2192-2640
                2192-2659
                October 2023
                July 06 2023
                October 2023
                : 12
                : 25
                Affiliations
                [1 ] Shanghai Key Laboratory of Sleep Disordered Breathing Department of Otolaryngology‐Head and Neck Surgery Otolaryngology Institute of Shanghai JiaoTong University Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai 200233 China
                [2 ] School of Chemistry and Chemical Engineering Nanjing University of Science and Technology Nanjing 210094 China
                [3 ] Department of Pharmacy Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai 200233 China
                Article
                10.1002/adhm.202300731
                6b2eef8c-226a-4f80-a89f-972d7d49c11b
                © 2023

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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