Masayoshi Nishiyama

Dr. Masayoshi Nishiyama


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 September 2002 in Nature Cell Biology
Verified
Journal Article
Closed access
MNMasayoshi Nishiyama
Masayoshi Nishiyama
HHHideo Higuchi
Hideo Higuchi
TYToshio Yanagida
Toshio Yanagida

19 January 2020 in Genes to Cells
Verified
Journal Article
Open access
PDF file
Makoto MiyataMakoto Miyata
Makoto Miyata
RRRobert C. Robinson
Robert C. Robinson
TUTaro Uyeda
Taro Uyeda
YFYoshihiro Fukumori
Yoshihiro Fukumori
SFShun‐Ichi Fukushima
Shun‐Ichi Fukushima
KWKen‐Ichi Wakabayashi
Ken‐Ichi Wakabayashi
Motility often plays a decisive role in the survival of species. Five systems of motility have been studied in depth: those propelled by bacterial flagella, eukaryotic actin polymerization and the eukaryotic motor proteins myosin, kinesin and dynein. However, many organisms exhibit surprisingly diverse motilities, and advances in genomics, molecular biology and imaging have showed that those motilities have inherently independent mechanisms. This makes defining the breadth of motility nontrivial, because novel motilities may be driven by unknown mechanisms. Here, we classify the known motilities based on the unique classes of movement‐producing protein architectures. Based on this criterion, the current total of independent motility systems stands at 18 types. In this perspective, we discuss these modes of motility relative to the latest phylogenetic Tree of Life and propose a history of motility. During the ~4 billion years since the emergence of life, motility arose in Bacteria with flagella and pili, and in Archaea with archaella. Newer modes of motility became possible in Eukarya with changes to the cell envelope. Presence or absence of a peptidoglycan layer, the acquisition of robust membrane dynamics, the enlargement of cells and environmental opportunities likely provided the context for the (co)evolution of novel types of motility.

19 March 2001 in Nature Cell Biology
Verified
Journal Article
Closed access
MNMasayoshi Nishiyama
Masayoshi Nishiyama
EMEtsuko Muto
Etsuko Muto
YIYuichi Inoue
Yuichi Inoue
TYToshio Yanagida
Toshio Yanagida
HHHideo Higuchi
Hideo Higuchi

9 October 2005 in Nature Chemical Biology
Verified
Journal Article
Closed access
YTYuichi Taniguchi
Yuichi Taniguchi
MNMasayoshi Nishiyama
Masayoshi Nishiyama
YIYoshiharu Ishii
Yoshiharu Ishii
TYToshio Yanagida
Toshio Yanagida

1 June 2009 in Biosensors and Bioelectronics
Verified
Journal Article
Open access
HOHirotsugu Ogi
Hirotsugu Ogi
YFYuji Fukunishi
Yuji Fukunishi
HNHironao Nagai
Hironao Nagai
KOKen Okamoto
Ken Okamoto
MHMasahiko Hirao
Masahiko Hirao
MNMasayoshi Nishiyama
Masayoshi Nishiyama
The nonspecific binding ability of polyethylenglycol (PEG) and bovine serum albumin (BSA) on modified and unmodified surfaces is quantitatively studied by a wireless-electrodeless quartz crystal microbalance (WE-QCM). PEG and BSA are important blocking materials in biosensors, but their affinities for proteins and uncoated substrates have not been known quantitatively. The WE-QCM allows quantitative analysis of the adsorption behavior of proteins on the electrodeless surfaces. Affinities of PEG, BSA, human immunoglobulin G (hIgG), and Staphylococcus protein A (SPA) for alpha-SiO(2)(quartz), Au thin film, PEG, and BSA are systematically studied by the homebuilt flow-injection system. PEG shows low affinities for the SiO(2) surface (K(A)=4.2x10(4) M(-1)) and the Au surface (K(A)=6.6x10(4) M(-1)), but BSA shows higher affinity for the SiO(2) surface (K(A)=1.4x10(6) M(-1)). Both PEG and BSA show low affinities for hIgG (K(A) approximately 1.5x10(5) M(-1)). However, the number of binding sites of PEG to hIgG is significantly larger than that of BSA, indicating that blocking for hIgG is favorably achieved by BSA, rather than PEG.

6 April 2016 in Langmuir
Verified
Journal Article
Open access
MHMasahito Hayashi
Masahito Hayashi
MNMasayoshi Nishiyama
Masayoshi Nishiyama
YKYuki Kazayama
Yuki Kazayama
TTTaro Toyota
Taro Toyota
YHYoshie Harada
Yoshie Harada
KTKingo Takiguchi
Kingo Takiguchi
To develop an artificial cell-like chemical-machinery, liposomes encapsulating cytoskeletons have drawn much recent attention. However, as far as we know, there has been no report showing isothermally reversible morphological changes of liposomes containing cytoskeletons because the sets of various regulatory factors, i.e., their interacting proteins, are required to control the state of every reaction system of cytoskeletons. Here we focused on hydrostatic pressure to control the polymerization state of microtubules (MTs) within cell-sized giant liposomes (diameters ~ 10 μm). MT is the cytoskeleton formed by the polymerization of tubulin, and cytoskeletal systems consisting of MTs are very dynamic and play many important roles in living cells, such as the morphogenesis of nerve cells and formation of the spindle apparatus during mitosis. Using real-time imaging with a high-pressure microscope, we examined the effects of hydrostatic pressure on the morphology of tubulin-encapsulating giant liposomes. At ambient pressure (0.1 MPa), many liposomes formed protrusions due to tubulin polymerization within them. When high pressure (60 MPa) was applied, the protrusions shrank within several tens of seconds. This process was repeatedly inducible (around three times), and after the pressure was released, the protrusions regenerated within several minutes. These deformation rates of the liposomes are close to the velocities of migrating or shape-changing living cells rather than the shortening and elongation rates of the single MTs which have been previously measured. These results demonstrate that the elongation and shortening of protrusions of giant liposomes is repeatedly controllable by regulating the polymerization state of MTs within them by applying and releasing hydrostatic pressure.