Literature DB >> 25429119

Microchip amplifier for in vitro, in vivo, and automated whole cell patch-clamp recording.

Reid R Harrison1, Ilya Kolb2, Suhasa B Kodandaramaiah3, Alexander A Chubykin4, Aimei Yang5, Mark F Bear6, Edward S Boyden3, Craig R Forest7.   

Abstract

Patch clamping is a gold-standard electrophysiology technique that has the temporal resolution and signal-to-noise ratio capable of reporting single ion channel currents, as well as electrical activity of excitable single cells. Despite its usefulness and decades of development, the amplifiers required for patch clamping are expensive and bulky. This has limited the scalability and throughput of patch clamping for single-ion channel and single-cell analyses. In this work, we have developed a custom patch-clamp amplifier microchip that can be fabricated using standard commercial silicon processes capable of performing both voltage- and current-clamp measurements. A key innovation is the use of nonlinear feedback elements in the voltage-clamp amplifier circuit to convert measured currents into logarithmically encoded voltages, thereby eliminating the need for large high-valued resistors, a factor that has limited previous attempts at integration. Benchtop characterization of the chip shows low levels of current noise [1.1 pA root mean square (rms) over 5 kHz] during voltage-clamp measurements and low levels of voltage noise (8.2 μV rms over 10 kHz) during current-clamp measurements. We demonstrate the ability of the chip to perform both current- and voltage-clamp measurement in vitro in HEK293FT cells and cultured neurons. We also demonstrate its ability to perform in vivo recordings as part of a robotic patch-clamping system. The performance of the patch-clamp amplifier microchip compares favorably with much larger commercial instrumentation, enabling benchtop commoditization, miniaturization, and scalable patch-clamp instrumentation.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  electronics; electrophysiology; in vitro; in vivo; patch clamp

Mesh:

Year:  2014        PMID: 25429119      PMCID: PMC4329443          DOI: 10.1152/jn.00629.2014

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  13 in total

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Journal:  Nature       Date:  1976-04-29       Impact factor: 49.962

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Journal:  Pflugers Arch       Date:  2002-04-17       Impact factor: 3.657

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Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

4.  A computer-assisted multi-electrode patch-clamp system.

Authors:  Rodrigo Perin; Henry Markram
Journal:  J Vis Exp       Date:  2013-10-18       Impact factor: 1.355

5.  Design of the EPC-9, a computer-controlled patch-clamp amplifier. 1. Hardware.

Authors:  F J SIGWorth
Journal:  J Neurosci Methods       Date:  1995-02       Impact factor: 2.390

6.  Activity-dependent regulation of NR2B translation contributes to metaplasticity in mouse visual cortex.

Authors:  Wendy S Chen; Mark F Bear
Journal:  Neuropharmacology       Date:  2006-08-08       Impact factor: 5.250

7.  Patch-clamp recordings from the soma and dendrites of neurons in brain slices using infrared video microscopy.

Authors:  G J Stuart; H U Dodt; B Sakmann
Journal:  Pflugers Arch       Date:  1993-06       Impact factor: 3.657

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Authors:  O P Hamill; A Marty; E Neher; B Sakmann; F J Sigworth
Journal:  Pflugers Arch       Date:  1981-08       Impact factor: 3.657

9.  Patch-clamp amplifiers on a chip.

Authors:  Pujitha Weerakoon; Eugenio Culurciello; Youshan Yang; Joseph Santos-Sacchi; Peter J Kindlmann; Fred J Sigworth
Journal:  J Neurosci Methods       Date:  2010-07-15       Impact factor: 2.390

10.  Automated whole-cell patch-clamp electrophysiology of neurons in vivo.

Authors:  Suhasa B Kodandaramaiah; Giovanni Talei Franzesi; Brian Y Chow; Edward S Boyden; Craig R Forest
Journal:  Nat Methods       Date:  2012-05-06       Impact factor: 28.547

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2.  Assembly and operation of the autopatcher for automated intracellular neural recording in vivo.

Authors:  Suhasa B Kodandaramaiah; Gregory L Holst; Ian R Wickersham; Annabelle C Singer; Giovanni Talei Franzesi; Michael L McKinnon; Craig R Forest; Edward S Boyden
Journal:  Nat Protoc       Date:  2016-03-03       Impact factor: 13.491

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Authors:  Andrew Alegria; Amey Joshi; Jacob O'Brien; Suhasa B Kodandaramaiah
Journal:  Bioelectron Med (Lond)       Date:  2020-09-17

4.  3D Image-Guided Automatic Pipette Positioning for Single Cell Experiments in vivo.

Authors:  Brian Long; Lu Li; Ulf Knoblich; Hongkui Zeng; Hanchuan Peng
Journal:  Sci Rep       Date:  2015-12-22       Impact factor: 4.379

5.  Multi-neuron intracellular recording in vivo via interacting autopatching robots.

Authors:  Suhasa B Kodandaramaiah; Francisco J Flores; Edward S Boyden; Craig R Forest; Gregory L Holst; Annabelle C Singer; Xue Han; Emery N Brown
Journal:  Elife       Date:  2018-01-03       Impact factor: 8.140

6.  Hard real-time closed-loop electrophysiology with the Real-Time eXperiment Interface (RTXI).

Authors:  Yogi A Patel; Ansel George; Alan D Dorval; John A White; David J Christini; Robert J Butera
Journal:  PLoS Comput Biol       Date:  2017-05-30       Impact factor: 4.475

7.  A miniaturized multi-clamp CMOS amplifier for intracellular neural recording.

Authors:  Siddharth Shekar; Krishna Jayant; M Angeles Rabadan; Raju Tomer; Rafael Yuste; Kenneth L Shepard
Journal:  Nat Electron       Date:  2019-08-15

8.  Single-component near-infrared optogenetic systems for gene transcription regulation.

Authors:  Andrii A Kaberniuk; Mikhail Baloban; Mikhail V Monakhov; Daria M Shcherbakova; Vladislav V Verkhusha
Journal:  Nat Commun       Date:  2021-06-23       Impact factor: 14.919

  8 in total

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