Molecular communication for nanomachines using intercellular calcium signaling

By T. Nakano, T. Suda, M. Moore, R. Egashira, A. Enomoto, K. Arima, Donald Bren. 5th IEEE Conference on Nanotechnology, 2005., 2005

249 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8183e9bd711e75535a927771f6fd09a109c18005

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Ian F. Akyildiz
2. Huseyin Birkan Yilmaz
3. Massimiliano Pierobon
4. Tuna Tugcu
5. Mehmet Sükrü Kuran
6. Andrew W. Eckford
7. Ö. Akan
8. Falko Dressler

In Cellular and Molecular Neuroscience

1. Ian F. Akyildiz
2. Athanasios V. Vasilakos
3. Josep Miquel Jornet

In Molecular Biology

1. Ian F. Akyildiz
2. Massimiliano Pierobon
3. Huseyin Birkan Yilmaz
4. Josep Miquel Jornet
5. Shuai Nie

Citations in the corpus

• Diffusion-Based Noise Analysis for Molecular Communication in Nanonetworks (2011, background): “Another example is calcium signaling among cells [7].”
• Molecular Communication and Networking: Opportunities and Challenges (2012, background): “can be used as engineered guide molecules [16], [43], [44].”
• Molecular Communication in Fluid Media: The Additive Inverse Gaussian Noise Channel (2010, background): “The existing literature can be divided into two broad categories: in the first category, components and designs to implement molecular communication systems are described; for example, communications based on calcium ion exchange [3] and liposomes [4] have been proposed.”
• A physical end-to-end model for molecular communication in nanonetworks (2010, background): “Pheromonal communication, when pheromones are released into a fluidic medium [7], such as air or water, is an example of diffusion-based architecture.”
• Modulation Techniques for Communication via Diffusion in Nanonetworks (2011, background): “These systems can be categorized by their effective ranges as short range, e.g., molecular motors [2]), short to medium range, e.g., ion signaling [ 3 ], communication via diffusion [4]), and long range molecular communication systems, e.g., bacterium based communication [5], pheromone signaling [6]”
• Nanonetworks: A new communication paradigm (2008, background): “According to these observations, two potential types of carriers have been identified: the molecular motors and the calcium ions [50].”
• A survey on bio-inspired networking (2010, background): “[43], an autonomous molecular propagation system to transport information molecules using DNA hybridization and bio-molecular linear motors.”