Literature DB >> 33415310

Microrheology for biomaterial design.

Katherine Joyner1, Sydney Yang1, Gregg A Duncan.   

Abstract

Microrheology analyzes the microscopic behavior of complex materials by measuring the diffusion and transport of embedded particle probes. This experimental method can provide valuable insight into the design of biomaterials with the ability to connect material properties and biological responses to polymer-scale dynamics and interactions. In this review, we discuss how microrheology can be harnessed as a characterization method complementary to standard techniques in biomaterial design. We begin by introducing the core principles and instruments used to perform microrheology. We then review previous studies that incorporate microrheology in their design process and highlight biomedical applications that have been supported by this approach. Overall, this review provides rationale and practical guidance for the utilization of microrheological analysis to engineer novel biomaterials. © Author(s).

Entities:  

Year:  2020        PMID: 33415310      PMCID: PMC7775114          DOI: 10.1063/5.0013707

Source DB:  PubMed          Journal:  APL Bioeng        ISSN: 2473-2877


  116 in total

Review 1.  Tissue cells feel and respond to the stiffness of their substrate.

Authors:  Dennis E Discher; Paul Janmey; Yu-Li Wang
Journal:  Science       Date:  2005-11-18       Impact factor: 47.728

2.  Enzyme-catalysed assembly of DNA hydrogel.

Authors:  Soong Ho Um; Jong Bum Lee; Nokyoung Park; Sang Yeon Kwon; Christopher C Umbach; Dan Luo
Journal:  Nat Mater       Date:  2006-09-24       Impact factor: 43.841

3.  Single-Particle Diffusion Characterization by Deep Learning.

Authors:  Naor Granik; Lucien E Weiss; Elias Nehme; Maayan Levin; Michael Chein; Eran Perlson; Yael Roichman; Yoav Shechtman
Journal:  Biophys J       Date:  2019-06-22       Impact factor: 4.033

4.  Using μ2rheology to quantify rheological properties during repeated reversible phase transitions of soft matter.

Authors:  Matthew D Wehrman; Melissa J Milstrey; Seth Lindberg; Kelly M Schultz
Journal:  Lab Chip       Date:  2017-06-13       Impact factor: 6.799

5.  Convolutional neural networks automate detection for tracking of submicron-scale particles in 2D and 3D.

Authors:  Jay M Newby; Alison M Schaefer; Phoebe T Lee; M Gregory Forest; Samuel K Lai
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-22       Impact factor: 11.205

6.  TrackMate: An open and extensible platform for single-particle tracking.

Authors:  Jean-Yves Tinevez; Nick Perry; Johannes Schindelin; Genevieve M Hoopes; Gregory D Reynolds; Emmanuel Laplantine; Sebastian Y Bednarek; Spencer L Shorte; Kevin W Eliceiri
Journal:  Methods       Date:  2016-10-03       Impact factor: 3.608

Review 7.  Mucus models to evaluate the diffusion of drugs and particles.

Authors:  Jaclyn Y Lock; Taylor L Carlson; Rebecca L Carrier
Journal:  Adv Drug Deliv Rev       Date:  2017-11-05       Impact factor: 15.470

8.  Modulation of Viscoelasticity and HIV Transport as a Function of pH in a Reversibly Crosslinked Hydrogel.

Authors:  Julie I Jay; Shetha Shukair; Kristofer Langheinrich; Melissa C Hanson; Gianguido C Cianci; Todd J Johnson; Meredith R Clark; Thomas J Hope; Patrick F Kiser
Journal:  Adv Funct Mater       Date:  2009-09-23       Impact factor: 18.808

Review 9.  Implications of the tumor immune microenvironment for staging and therapeutics.

Authors:  Janis M Taube; Jérôme Galon; Lynette M Sholl; Scott J Rodig; Tricia R Cottrell; Nicolas A Giraldo; Alexander S Baras; Sanjay S Patel; Robert A Anders; David L Rimm; Ashley Cimino-Mathews
Journal:  Mod Pathol       Date:  2017-12-01       Impact factor: 7.842

Review 10.  Micro- and macrorheology of mucus.

Authors:  Samuel K Lai; Ying-Ying Wang; Denis Wirtz; Justin Hanes
Journal:  Adv Drug Deliv Rev       Date:  2009-01-03       Impact factor: 15.470

View more
  4 in total

Review 1.  Passive and Active Microrheology for Biomedical Systems.

Authors:  Yating Mao; Paige Nielsen; Jamel Ali
Journal:  Front Bioeng Biotechnol       Date:  2022-07-05

2.  Machine learning-informed predictions of nanoparticle mobility and fate in the mucus barrier.

Authors:  Logan Kaler; Katherine Joyner; Gregg A Duncan
Journal:  APL Bioeng       Date:  2022-06-21

3.  Influenza A virus diffusion through mucus gel networks.

Authors:  Logan Kaler; Ethan Iverson; Shahed Bader; Daniel Song; Margaret A Scull; Gregg A Duncan
Journal:  Commun Biol       Date:  2022-03-22

4.  Membrane-Tethered Mucin 1 Is Stimulated by Interferon and Virus Infection in Multiple Cell Types and Inhibits Influenza A Virus Infection in Human Airway Epithelium.

Authors:  Ethan Iverson; Kira Griswold; Daniel Song; Talita B Gagliardi; Kajal Hamidzadeh; Mehmet Kesimer; Sanju Sinha; Melissa Perry; Gregg A Duncan; Margaret A Scull
Journal:  mBio       Date:  2022-06-14       Impact factor: 7.786

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.