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Methods Mol Biol. 2022;2450:51-67. doi: 10.1007/978-1-0716-2172-1_3.
2
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本文引用的文献

1
Mechanosensation Mediates Long-Range Spatial Decision-Making in an Aneural Organism.机械感觉介导无神经生物的长程空间决策。
Adv Mater. 2021 Aug;33(34):e2008161. doi: 10.1002/adma.202008161. Epub 2021 Jul 15.
2
Remarkable problem-solving ability of unicellular amoeboid organism and its mechanism.单细胞变形虫类生物卓越的问题解决能力及其机制。
R Soc Open Sci. 2018 Dec 19;5(12):180396. doi: 10.1098/rsos.180396. eCollection 2018 Dec.
3
Slime mould: The fundamental mechanisms of biological cognition.黏菌:生物认知的基本机制。
Biosystems. 2018 Mar;165:57-70. doi: 10.1016/j.biosystems.2017.12.011. Epub 2018 Jan 8.
4
Mechanism of signal propagation in .……中信号传播的机制
Proc Natl Acad Sci U S A. 2017 May 16;114(20):5136-5141. doi: 10.1073/pnas.1618114114. Epub 2017 May 2.
5
Plant regeneration: cellular origins and molecular mechanisms.植物再生:细胞起源与分子机制
Development. 2016 May 1;143(9):1442-51. doi: 10.1242/dev.134668.
6
Habituation in non-neural organisms: evidence from slime moulds.非神经生物的习惯化:来自黏菌的证据。
Proc Biol Sci. 2016 Apr 27;283(1829). doi: 10.1098/rspb.2016.0446.
7
Decision-making ability of Physarum polycephalum enhanced by its coordinated spatiotemporal oscillatory dynamics.多头绒泡菌的时空振荡动力学协调增强其决策能力。
Bioinspir Biomim. 2016 Apr 12;11(3):036001. doi: 10.1088/1748-3190/11/3/036001.
8
Towards a Physarum learning chip.迈向黏菌学习芯片。
Sci Rep. 2016 Feb 3;6:19948. doi: 10.1038/srep19948.
9
The Physarum polycephalum Genome Reveals Extensive Use of Prokaryotic Two-Component and Metazoan-Type Tyrosine Kinase Signaling.多头绒泡菌基因组揭示了原核双组分信号传导和后生动物型酪氨酸激酶信号传导的广泛应用。
Genome Biol Evol. 2015 Nov 27;8(1):109-25. doi: 10.1093/gbe/evv237.
10
A linear-encoding model explains the variability of the target morphology in regeneration.线性编码模型解释了再生中目标形态的可变性。
J R Soc Interface. 2014 Jan 8;11(92):20130918. doi: 10.1098/rsif.2013.0918. Print 2014 Mar 6.

利用多头绒泡菌研究原生动物 WBR 和修复。

Studying Protista WBR and Repair Using Physarum polycephalum.

机构信息

Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA.

Department of Biology, Tufts University, Medford, MA, USA.

出版信息

Methods Mol Biol. 2022;2450:51-67. doi: 10.1007/978-1-0716-2172-1_3.

DOI:10.1007/978-1-0716-2172-1_3
PMID:35359302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9761523/
Abstract

Physarum polycephalum is a protist slime mould that exhibits a high degree of responsiveness to its environment through a complex network of tubes and cytoskeletal components that coordinate behavior across its unicellular, multinucleated body. Physarum has been used to study decision making, problem solving, and mechanosensation in aneural biological systems. The robust generative and repair capacities of Physarum also enable the study of whole-body regeneration within a relatively simple model system. Here we describe methods for growing, imaging, quantifying, and sampling Physarum that are adapted for investigating regeneration and repair.

摘要

多头绒泡菌是一种原生质黏菌,通过复杂的管网和细胞骨架组件网络对环境表现出高度的响应性,从而协调其单细胞、多核体的行为。多头绒泡菌已被用于研究无神经生物系统中的决策制定、问题解决和机械感觉。多头绒泡菌强大的生成和修复能力还使人们能够在相对简单的模型系统中研究全身再生。在这里,我们描述了适应于研究再生和修复的多头绒泡菌的培养、成像、定量和采样方法。