4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Microcarriers promote the through interface movement of mouse trophoblast stem cells by regulating stiffness

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mechanical force is crucial in the whole process of embryonic development. However, the role of trophoblast mechanics during embryo implantation has rarely been studied. In this study, we constructed a model to explore the effect of stiffness changes in mouse trophoblast stem cells (mTSCs) on implantation: microcarrier was prepared by sodium alginate using a droplet microfluidics system, and mTSCs were attached to the microcarrier surface with laminin modifications, called T(micro). Compared with the spheroid, formed by the self-assembly of mTSCs (T(sph)), we could regulate the stiffness of the microcarrier, making the Young's modulus of mTSCs (367.70 ± 79.81 Pa) similar to that of the blastocyst trophoblast ectoderm (432.49 ± 151.90 Pa). Moreover, T(micro) contributes to improve the adhesion rate, expansion area and invasion depth of mTSCs. Further, T(micro) was highly expressed in tissue migration-related genes due to the activation of the Rho-associated coiled-coil containing protein kinase (ROCK) pathway at relatively similar modulus of trophoblast. Overall, our study explores the embryo implantation process with a new perspective, and provides theoretical support for understanding the effect of mechanics on embryo implantation.

          Graphical abstract

          Schematic of microcarriers promote the through interface movement of mouse trophoblast stem cells by regulating stiffness. Through droplet microfluidics, we fabricate microcarriers with controllable stiffness to regulate the modulus of mTSCs. As microcarriers provide similar stiffness support to mouse trophoblast, extracellular mechanical signals are transmitted to FAK via integration, activating the RHO/ROCK signaling pathway and promoting through interface movement in mTSCs by regulating cytoskeletal reorganization.

          Highlights

          • We efficiently constructed a blastocyst implantation model, called T(micro), using droplet microfluidics. Our model has greater similarity to the mouse blastoderm trophoblast in terms of stiffness.

          • The implantation capability of mTSCs can be regulated in our model by changing the modulus of the microcarrier.

          • We provide an explanation for how stiffness influences mTSCs implantation, which broadens our understanding of embryo implantation from a biomechanical perspective and provides a criterion for evaluating embryo implantation capacity in vivo.

          Related collections

          Most cited references55

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

            Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

              Summary Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconductor package, clusterProfiler 4.0. This package has been enhanced considerably compared with its original version published 9 years ago. The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases. It also extends the dplyr and ggplot2 packages to offer tidy interfaces for data operation and visualization. Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists. We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms.
                Bookmark

                Author and article information

                Contributors
                Journal
                Bioact Mater
                Bioact Mater
                Bioactive Materials
                KeAi Publishing
                2452-199X
                24 May 2023
                October 2023
                24 May 2023
                : 28
                : 196-205
                Affiliations
                [a ]State Key Laboratory of Membrane Biology, The State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, PR China
                [b ]Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, PR China
                [c ]University of Chinese Academy of Sciences, Beijing, 100049, PR China
                [d ]Department of Chemistry and Biological Engineering, University of Science and Technology, Beijing, 100083, PR China
                [e ]School of Life Sciences, Northeast Agricultural University, Harbin, 150030, PR China
                Author notes
                []Corresponding author. State Key Laboratory of Membrane Biology, The State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, PR China. qgu@ 123456ioz.ac.cn
                [1]

                These authors contributed equally to work.

                Article
                S2452-199X(23)00152-4
                10.1016/j.bioactmat.2023.05.007
                10220236
                a07b6182-9868-4f60-8ac4-09f97b744b5c
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 19 January 2023
                : 20 April 2023
                : 9 May 2023
                Categories
                Article

                biomechanics,microcarriers,embryo implantation,cell migration

                Comments

                Comment on this article