GECIs and GEFIs: A Guide for Choosing Fluorescent biosensors for fiber photometry

Updated on September 16, 2020

Fiber Photometry is a rapidly advancing field, with biosensors for more analytes and with better sensitivity being announced almost every month. We would like to share information about sensors that should be compatible with fiber photometry when using excitation with blue (~480 nm) light and measuring green (~525 nm) fluorescence. This is the most commonly used wavelength pair and is the one offered with TeleFipho wireless fiber photometry.

We will update this guide as more information becomes available.

Overview of Fluorescent indicators: Structure and considerations for use.

Genetically encoded fluorescent indicators (GEFIs) are used in conjunction with fiber photometry to report on changes in concentrations of molecules in vivo in real-time.

Most fluorescent biosensors consist of a fluorescent protein yoked to an analyte binding protein, constructed so that binding of the analyte causes a dramatic increase in fluorescence.

Akerboom, Rivera, Guilbe, Malavé, Hernandez, Tian, Hires, Marvin, Looger, Schreiter ER / CC BY (https://creativecommons.org/licenses/by/3.0)

Binding kinetics help determine the range of concentrations the sensor will respond to, as well as its ability to report fast events. A sensor with high affinity (low K_d) and a long dissociation time can measure very low concentrations of a molecule, but this happens at the expense of being able to resolve more frequent events and a narrower useful range of concentrations. Fast dissociation improves time resolution, but sensitivity usually suffers.

The brightness of the sensor, partially expressed as the ratio of the increase in fluorescence when bound to the analyte compared to baseline (∆F/F or ∆F/F0 ), is the other major factor to consider. Brighter sensors can generate a useful signal when expressed at lower levels or when used with less illumination when compared to less bright sensors.

Most biosensors are already available from AddGene: some as plasmids, others as aliquots of ready to use viral vectors. The newest biosensors listed here can be sourced directly from the laboratories which invented them. We included the best source we could find, as well as the original publication describing the sensor in the table below.

Calcium

jGCaMP7 is the latest generation of GCaMP sensors, introduced in 2019 as a collaborative effort between Loren Looger at Janelia as well as other research institutes. The jGCaMP7 GECIs have several-fold higher ∆F/F0 and a wider range of kinetics when compared to the earlier GCaMP6 sensors. Some GCaMP7 variants that will be of interest to fiber photometry users include jGCaMP7s (highest sensitivity, but slower kinetics), and jGCaMP7f which has the fastest kinetics. We hope to have calcium data generated using jGCaMP7s and TeleFipho wireless fiber photometry soon.

GCaMP-X The calmodulin GCaMP based calcium sensors have been shown to cause side effects during some in-vivo uses, such as interference with the function of L-type calcium channels, nuclear accumulation, and cytotoxicity. These issues are largely addressed by changes to the design of GCaMP-X.

Dopamine

Dopamine is rapidly becoming the second most common target for imaging and photometry in neuroscience thanks to two sensors introduced in 2018, dLight and GRABDA. The intensity of illumination used with dLight and GRABDA is typically 20 – 30 μW, the same range as is used with GCaMP6.

dLight1.1 and dLight1.2, developed by the Tian lab, have both been used extensively with fiber photometry, with settings similar to those used for GCaMP6.

GRAB_DA DA2M, DA2H

GRAB_DA (GPCR-Activation Based DA) was first introduced by Yulong Li’s lab in 2018 and has just been updated to increase Δf/f and increase the range of kinetics. The new versions are DA2H (high affinity) and DA2M (medium affinity). Both GRAB_DA2m and GRAB_DA2H have already been used with fiber photometry, but so far results have only been communicated via preprints.

Norepinephrine and Serotonin

More from the Yulong Li lab, though as of yet their characterization is only available through preprints. GRABNE1m and GRAB5-HT1.0 have both already been used to measure norepinephrine and serotonin via fiber photometry in mice.

Biosensors for endocannabinoids (GRABeCB), ATP, cholecystokinin (CCK), vasoactive intestinal peptide (VIP), somatostatin (SST), vasopressin/oxytocin, ghrelin, and orexin were also announced by the Li lab at Neuroscience 2019, and are still being validated. The best way to keep up with the Li lab may be checking #GRABSensors on Twitter!
More information on iSeroSnFr from the Tian lab should be available soon.

GABA

Glutamate

There are two main sensor types available for monitoring glutamate: iGluSnFR and iGlu. The original iGluSnFR has slower kinetics, while iGluf (fast) and iGluu (ultrafast) are much faster. The new SF-iGluSnFR variants offer higher brightness and a range of different kinetics compared to the original.

Acetylcholine

iACHSnFR is one of the most recent GEFIs created by the Loren Looger lab at Janelia, along with collaborators.

GACH and GRAB_ACh3.0
While the initial version of the GRAB type acetylcholine indicator (GACH) was not sensitive enough for measuring physiological levels of ACh using fiber photometry (personal communication), the version described in a preprint from Dec. 2019 (ACh3.0) has been used successfully with fiber photometry. The Li lab is also supplying researchers with an even newer version, ACh4.3.

Other Analytes

Adenosine
Peng et al. monitored adenosine in the mouse basal forebrain using fiber photometry and  GRABAdo, also called Ado1.0

Please let us know if you have any corrections or additions for this list!