Nature Biotechnology | 2023

Recording of cellular physiological histories along optically readable self-assembling protein chains

Changyang Linghu, Bobae An, Monika Shpokayte, Orhan T. Celiker, Nava Shmoel, Ruihan Zhang, Chi Zhang, Demian Park, Won Min Park, Steve Ramirez and Edward S. Boyden

Summary: biological information over time, such as gene expression history, can be recorded onto the ordered structure of intracellular protein self-assembly for scalable readout in large cell populations.

Methods in Molecular Biology | 2022

Single-cell resolution optogenetics via expression of soma-targeted rhodopsins

Changyang Linghu, I-Wen Chen, Dimitrii Tanese, Valeria Zampini and Or A. Shemesh

Summary: methods for temporally precise single-cell resolution optogenetics in tissue and in the living brain.

Cell | 2020 (featured in the cover image) 

Spatial multiplexing of fluorescent reporters for imaging signaling network dynamics

Changyang Linghu*, Shannon L. Johnson*, Pablo A. Valdes, Or A. Shemesh, Won Min Park, Demian Park, Kiryl D. Piatkevich, Asmamaw T. Wassie, Yixi Liu, Bobae An, Stephanie A. Barnes, Orhan T. Celiker, Chun-Chen Yao, Chih-Chieh (Jay) Yu, Ru Wang, Katarzyna P. Adamala, Mark F. Bear, Amy E. Keating and Edward S. Boyden (* co-first authors)

Summary: clustering fluorescent reporters at random points in cells enables many biological signals to be recorded at once.

Neuron | 2020

Precision calcium imaging of dense neural populations via a cell-body-targeted calcium indicator

Or A. Shemesh*, Changyang Linghu*, Kiryl D. Piatkevich*, Daniel Goodwin, Orhan Tunc Celiker, Howard J. Gritton, Michael F. Romano, Ruixuan Gao, Chih-Chieh (Jay) Yu, Hua-An Tseng, Seth Bensussen, Sujatha Narayan, Chao-Tsung Yang, Limor Freifeld, Cody A. Siciliano, Ishan Gupta, Joyce Wang, Nikita Pak, Young-Gyu Yoon, Jeremy F.P. Ullmann, Burcu Guner-Ataman, Habiba Noamany, Zoe R. Sheinkopf, Won Min Park, Shoh Asano, Amy E. Keating, James S. Trimmer, Jacob Reimer, Andreas S. Tolias, Mark F. Bear, Kay M. Tye, Xue Han, Misha B. Ahrens and Edward S. Boyden (* co-first authors)

Summary: restricting fluorescent reporters to the cell body reduces neuropil crosstalk, reduces artifactual spikes and correlations, and increases signal-to-noise ratio in calcium imaging of neural populations in vivo.

Nature Chemical Biology | 2018

A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters

Kiryl D. Piatkevich*, Erica E. Jung*, Christoph Straub, Changyang Linghu, Demian Park, Ho-Jun Suk, Daniel R. Hochbaum, Daniel Goodwin, Eftychios Pnevmatikakis, Nikita Pak, Takashi Kawashima, Chao-Tsung Yang, Jeffrey L. Rhoades, Or Shemesh, Shoh Asano, Young-Gyu Yoon, Limor Freifeld, Jessica L. Saulnier, Clemens Riegler, Florian Engert, Thom Hughes, Mikhail Drobizhev, Balint Szabo, Misha B. Ahrens, Steven W. Flavell, Bernardo L. Sabatini and Edward S. Boyden (* co-first authors)

Summary: a robotic multidimensional screening system for mammalian cells enables rapid developments of better fluorescent proteins and better fluorescent voltage indicators.

Nature Neuroscience | 2017

Temporally precise single-cell resolution optogenetics

Or A. Shemesh*, Dimitrii Tanese*, Valeria Zampini*, Changyang Linghu, Kiryl Piatkevich, Emiliano Ronzitti, Eirini Papagiakoumou, Edward S. Boyden+ and Valentina Emiliani+ (* co-first authors; + co-corresponding authors)

Summary: soma-targeted opsins, together with computer-generated holography systems, enable temporally precise, single-cell resolution optogenetics.

Chinese Physics B | 2013

Graphene applications in electronic and optoelectronic devices and circuits

Huaqiang Wu, Changyang Linghu, Hongming Lu and He Qian

Summary: a review of how the unique properties of graphene could be utilized for better electronic and optoelectronic devices.

Proceedings of International Conference on Simulation of Semiconductor Processes and Devices | 2012

Compact model of graphene field effect transistors and its application in circuit simulation of RF mixer consisting of GFETs and CMOS

Weinan Zhu, Changyang Linghu, Jinyu Zhang, Lei Zhang, and Zhiping Yu

Summary: modeling graphene-based transistors helps to design integrated circuits that contain both graphene-based transistors and conventional semiconductor transistors.