Biology subjects

Goedhart, J.

Publications and source records attributed to Goedhart, J..

At least 19 recordsLinked to original sources

bioRxiv2026

Quantitative imaging of calcium dynamics with a green fluorescent biosensor and fluorescence lifetime imaging

Genetically encoded biosensors are GFP-based tools that can visualize the dynamics and spatial features of cellular processes. The design of a genetically encoded biosensor dictates the method that is used to measure the response. Common read-outs use some sort of fluorescence intensity measurement, which is subject to both technical and biological perturbations, including sample drift, excitation power fluctuations, changes in sample size/volume, or a change in expression level. Yet, the fluorescence lifetime of a fluorophore is not affected by the aforementioned perturbations. Therefore, biosensors that respond with a large lifetime change offer a more robust method of detecting cellular processes. Here, we report on protocols for calcium imaging using fluorescence lifetime imaging microscopy (FLIM) to measure the response of a genetically encoded lifetime biosensor. The protocols include details on biosensor production and purification, calibration of purified biosensor with FLIM, introduction of the plasmid in HeLa and endothelial cells, and timelapse analysis of FLIM data. In this chapter we use the green fluorescent biosensor G-Ca-FLITS as an example but the protocols can be generally applied to biosensors with lifetime contrast. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/717680v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@167f612org.highwire.dtl.DTLVardef@4c5603org.highwire.dtl.DTLVardef@1a2eb6borg.highwire.dtl.DTLVardef@10ddc63_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2025

Multiplexed imaging of G-proteins and ERK activity upon activation of CaSR

We have previously shown that the calcium sensing receptor (CaSR) activates different G proteins and second messengers in single cells, and that GPCR and G protein-mediated ERK activity can be highly dynamic and heterogeneous at the single cell level. Here, we attempted to investigate the CaSR-Gi-ERK signaling pathway in single cells with previously characterized biosensors. We developed a strategy to simultaneously track G-protein and ERK activities in a single cell, using FRET-based and translocation sensors, a novel large-Stokes-shift green fluorescent protein, and an imaging setup with a single detector and a single wavelength for excitation. Extensive characterization and optimization to unmix the signals showed that the differences in dynamic range and type of read-out obtained from these biosensors made it very challenging to obtain robust FRET-measurements in the developed setup. When focusing solely on ERK, we found signs of possible ERK activity in response to calcium stimulation via CaSR, as well as milder changes in the absence of calcium treatment. Further optimization of the model, probes, and image processing will be necessary to develop a setup to robustly measure FRET and translocation simultaneously in single cells. We present the challenges we encountered and discuss future developments that can overcome them.

cell biology↗

bioRxiv2025

Side-by-side systematic characterization of novel FPs in budding yeast

Fluorescent proteins (FPs) have become indispensable for biological research. Since the discovery of the first FP, Aequorea victoria green fluorescent protein (avGFP), new fluorescent proteins are continuously being developed. To achieve optimal experimental results, selecting an FP based on specific characteristics--such as brightness, photostability, photochromicity, monomericity, pH robustness, and fluorescence lifetime--is essential. However, a thorough side-by-side comparison of these characteristics is missing for the latest generation of FPs. Here, we provide a comprehensive characterization in yeast of the most recently developed FPs, including FPs that were codon-optimized for yeast. We believe this provides an excellent compendium for choosing the most suitable FP for research purposes.

molecular biology↗

bioRxiv2024

Exploration of mScarlet for development of a red lifetime sensor for calcium imaging

The past decades, researchers have worked on the development of genetically encoded biosensors, including over 60 genetically encoded calcium indicators (GECIs) containing a single fluorescent protein (FP). Red fluorescent GECIs provide advantages in terms of imaging depths and reduced cell toxicity. Most of GECIs respond with a fluorescence intensity change, and researchers have strived to improve the sensors in terms of brightness and fold-change. Unfortunately, fluorescence intensity is influenced by many factors other than the desired sensor response. GECIs with a fluorescence lifetime contrast overcome this drawback, but so far, no bright red GECI has been developed that shows a fluorescence lifetime contrast. We tried to tackle this challenge by using the brightest red fluorescent proteins from the mScarlet family to develop a new sensor. We did succeed in creating remarkable bright probes, but the fluorescence lifetime contrast we observed in bacterial lysates was lost in mammalian cells. Based on our results, and the success of others to develop a pH and a voltage sensor of mScarlet, we are confident that a GECI with mScarlet is feasible. To this end, we propose to continue development using a mammalian cell-based screening, instead of screening in bacterial lysates.

cell biology↗

bioRxiv2024

An mTurquoise2-based glucose biosensor

Glucose is an important substrate for organisms to acquire energy needed for cellular growth. Despite the importance of this metabolite, single-cell information at a fast time-scale about the dynamics of intracellular glucose levels is difficult to obtain as the current available sensors have drawbacks in terms of pH sensitivity or unmatched glucose affinity. To address this, we developed a convenient method to create and screen biosensor libraries using yeast as workhorse. This resulted in TINGL (Turquoise INdicator for GLucose), a robust and specific biosensor with an affinity that is compatible with intracellular glucose detection. We calibrated the sensor in vivo through equilibration of internal and external glucose in a yeast mutant unable to phosphorylate glucose. Using this method, we measured dynamic glucose levels in budding yeast during transitions to glucose. We found that glucose concentrations reached levels up to 1 mM as previously determined biochemically. Furthermore, the sensor showed that intracellular glucose dynamics differ based on whether cells are glucose-repressed or not. Finally, the human codon-optimized version (THINGL, Turquoise Human INdicator for GLucose), also showed a robust response after glucose addition to starved human cells, showing the versatility of the sensors. We believe that this sensor can aid researchers interested in cellular carbohydrate metabolism.

biochemistry↗

bioRxiv2024

A green lifetime biosensor for calcium that remains bright over its full dynamic range

Fluorescent biosensors toggle between two states and for the vast majority of biosensors one state is bright and the other state is dim. As a consequence, there is a substantial difference in the signal-to-noise ratio (SNR) for the two states. The dim state has a low signal-to-noise ratio, which is problematic when precise, quantitative measurements are needed. During the engineering of a red-shifted variant of an mTurquoise-based calcium sensor, we serendipitously generated a green-emitting sensor that shows high brightness in both the calcium-bound and -unbound state, while still showing a calcium dependent lifetime change of >1 nanosecond. This sensor, named G-Ca-FLITS, is comparable in brightness to the bright state of GCaMP3 and jGCaMP7c in mammalian cells. The calcium induced loss in fluorescence intensity is only around 30% and therefore we observe little variation in the SNR when calcium levels change. G-Ca-FLITS shows negligible sensitivity to pH in the physiological range, like its turquoise parent. Using fluorescence lifetime imaging (FLIM), we measured the calcium concentration with G-Ca-FLITS in various organelles and observed in HeLa cells transient and spatially heterogeneous calcium elevations in mitochondria. Finally, we evaluated the use of G-Ca-FLITS and its turquoise predecessor for two-photon FLIM in Drosophila brains. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/622032v2_ufig1.gif" ALT="Figure 1"> View larger version (55K): org.highwire.dtl.DTLVardef@1caf016org.highwire.dtl.DTLVardef@586996org.highwire.dtl.DTLVardef@7c15cdorg.highwire.dtl.DTLVardef@7b6f03_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2024

Leukocytes use endothelial membrane tunnels to extravasate the vasculature

Upon inflammation, leukocytes extravasate through endothelial cells. When they extravasate in a paracellular manner, it is generally accepted that neighbouring endothelial cells physically disconnect to open cell-cell junctions, allowing leukocytes to cross. When carefully examining endothelial junctions, we found a partial membrane overlap of endothelial cells beyond VE-cadherin distribution. These overlaps are regulated by actin polymerization and, although marked by, do not require PECAM-1, nor VE-cadherin. Neutrophils prefer wider membrane overlaps as exit sites. Detailed 3D analysis of endothelial membrane dynamics during paracellular neutrophil transmigration in real-time, at high spatiotemporal resolution using resonant confocal and lattice light-sheet imaging, revealed that overlapping endothelial membranes form a tunnel during neutrophil transmigration. These tunnels are formed by the neutrophil lifting the membrane of the upper endothelial cell while indenting and crawling over the membrane of the underlying endothelial cell. Our work shows that endothelial cells do not simply retract upon passage of neutrophils but provide membrane tunnels, allowing neutrophils to extravasate. This discovery defines the 3D multicellular architecture in which the paracellular transmigration of neutrophils occurs.

cell biology↗

bioRxiv2024

Biosensor imaging of G protein mediated Signaling Pathways Activated Immediately Downstream of CaSR

Genetically encoded biosensors allow us to study events in single cells in real time. Here, we used biosensors with a read-out based on Forster resonance energy transfer (FRET) or intensity to investigate the main signaling pathways activated immediately downstream of the calcium sensing receptor (CaSR) in HEK-293 cells. CaSR responds to its endogenous ligand, calcium, to activate Gq and Gi protein dependent pathways. We demonstrate that CaSR activates Gq to promote intracellular calcium mobilization, and we monitored these two events simultaneously in the same cells. We also observed that CaSR activates the 3 Gi subtypes and decreases cAMP levels in a Gi-dependent manner. Moreover, the use of negative allosteric modulator NPS-2143 can inhibit these signaling events and also rapidly disrupts them if added after receptor activation by calcium stimulation. In addition, the increases in calcium and cAMP levels were respectively enhanced when activation of Gi or Gq proteins was prevented. Finally, we provide evidence that CaSR does not couple to G13 proteins, and that activation of RhoA by CaSR is solely dependent on Gq/G11 activity.

cell biology↗

bioRxiv2024

EzReverse - a Web Application for Background Adjustment of Color Images

Fluorescence imaging is extensively utilized in biological research to study biomolecules at the single-cell level. Fluorescence images have a black background due to the inherent nature of fluorescence imaging. The black background fits well with dark themes that are used on screens and presentations. On the other hand, inverting the color images to display the signals on a white background can aid the human visual system in capturing detailed information or subtle features. In addition, white backgrounds match better with printed media. However, current methods to invert or change the background of color images require multiple steps or do not offer flexibility in the adjustment which is important when dealing with complex images without raw data. To facilitate easy access to background inversion and flexible modifications, ezReverse was developed. Two methods are implemented, the first based on color space transformation followed by inverting the lightness, while the second method identifies grayscale values which are subsequently modified. The web app ezReverse is a versatile tool, that accommodates multiple color spaces, kernel filters, and gamma correction for optimal inversion of color images. It is hosted on the Shiny Python platform and can be conveniently accessed online: https://amsterdamstudygroup.shinyapps.io/ezreverse/ O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/594095v1_ufig1.gif" ALT="Figure 1"> View larger version (50K): org.highwire.dtl.DTLVardef@7a0901org.highwire.dtl.DTLVardef@1e53776org.highwire.dtl.DTLVardef@19c6593org.highwire.dtl.DTLVardef@d0a722_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2023

Studentsourcing - aggregating and re-using data from a practical cell biology course

Practical courses mimic experimental research and may generate valuable data. Yet, data that is generated by students during a course is often lost as there is no centrally organized collection and storage of the data. The loss of data prevents its re-use. To provide access to these data, I present an approach that I call studentsourcing. It collects, aggregates and reuses data that is generated by students in a practical course on cell biology. The course runs annually, and I have recorded the data that was generated by >100 students over 3 years. Two use cases illustrate how the data can be aggregated and re-used either for the scientific record or for teaching. As the data is obtained by different students, in different groups, over different years, it is an excellent opportunity to discuss experimental design and modern data visualization methods such as the superplot. The first use case demonstrates how the data can be presented as an online, interactive dashboard, providing real-time data of the measurements. The second use case shows how central data storage provides a unique opportunity to get precise quantitative data due to the large sample size. Both use cases illustrate how data can be effectively aggregated and re-used. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=169 SRC="FIGDIR/small/561479v2_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@13c8973org.highwire.dtl.DTLVardef@1641e47org.highwire.dtl.DTLVardef@1fff83eorg.highwire.dtl.DTLVardef@2c1ef_HPS_FORMAT_FIGEXP M_FIG C_FIG

scientific communication and education↗

bioRxiv2023

Trade-offs between cost and information in cellular prediction

Living cells can leverage correlations in environmental fluctuations to predict the future environment and mount a response ahead of time. To this end, cells need to encode the past signal into the output of the intracellular network from which the future input is predicted. Yet, storing information is costly while not all features of the past signal are equally informative on the future input signal. Here, we show, for two classes of input signals, that cellular networks can reach the fundamental bound on the predictive information as set by the information extracted from the past signal: pushpull networks can reach this information bound for Markovian signals, while networks that take a temporal derivative can reach the bound for predicting the future derivative of non-Markovian signals. However, the bits of past information that are most informative about the future signal are also prohibitively costly. As a result, the optimal system that maximizes the predictive information for a given resource cost is, in general, not at the information bound. Applying our theory to the chemotaxis network of Escherichia coli reveals that its adaptive kernel is optimal for predicting future concentration changes over a broad range of background concentrations, and that the system has been tailored to predicting these changes in shallow gradients.

biophysics↗

bioRxiv2022

iLID-antiGFP-nanobody is a flexible targeting strategy for recruitment to GFP-tagged proteins

Optogenetics is a fast-growing field, that applies light-sensitive proteins to manipulate cellular processes. A popular optogenetics tool is the improved light-induced dimer (iLID). It comprises two components, iLID and SspB, which heterodimerize upon illumination with blue light. This system is often used to recruit proteins to a specific subcellular location, e.g. by targeting the iLID to the plasma membrane. The targeting requires modification of the iLID with a targeting sequence. To skip the modification of the iLID and use existing GFP fusion as targets, we fuse an antiGFP nanobody to the iLID. We show that the antiGFP nanobody is able to locate iLID to GFP-tagged proteins. Plus, the light-dependent recruitment of SspB to iLID, localized by the antiGFP nanobody to a GFP-tagged protein, is still functioning efficiently. This approach increases flexibility, enabling the recruitment of any GFP-tagged protein, without the necessity of protein engineering.

cell biology↗

bioRxiv2022

Opto-RhoGEFs: an optimized optogenetic toolbox to reversibly control Rho GTPase activity on a global to subcellular scale, enabling precise control over vascular endothelial barrier strength

The inner layer of blood vessels consists of endothelial cells, which form the physical barrier between blood and tissue. This vascular barrier is tightly regulated to allow the passage of essential molecules like oxygen, carbon-dioxide, water, ions, and nutrients. The vascular endothelial barrier is defined by cell-cell contacts through adherens and tight junctions. To further investigate the signaling in the endothelium that regulates vascular barrier strength, we focused on Rho GTPases, regulators of the actin cytoskeleton and known to control junction integrity. Rho GTPase signaling is confined in space and time. To manipulate the signaling in a temporal and spatial manner we applied optogenetics. Guanine exchange factor (GEF) domains from ITSN1, TIAM1 and p63RhoGEF, activating Cdc42, Rac and Rho respectively, were integrated into the optogenetic recruitment tool iLID. This tool allows for activation at the subcellular level in a reversible and non-invasive manner and thereby to recruit a GEF to local areas at the plasma membrane, enabling the local activation of specific Rho GTPases. The membrane tag of iLID was optimized and a HaloTag was applied to gain more flexibility for multiplex imaging. The resulting Opto-RhoGEFs were tested in an endothelial cell monolayer and demonstrated precise temporal control of vascular barrier strength by a cell-cell overlap-dependent, VE-cadherin-independent, mechanism. Furthermore, Opto-RhoGEFs enabled precise optogenetic control in endothelial cells over morphological features such as cell-size, -roundness, local extension, and cell contraction. In conclusion, we have optimized and applied the optogenetic iLID GEF recruitment tool i.e. Opto-RhoGEFs, to study the role of Rho GTPases in the vascular barrier of the endothelium and found that membrane protrusions at the junction region can rapidly increase barrier integrity independent of VE-cadherin.

cell biology↗

bioRxiv2022

A systematic, cell-based comparison of G-protein binding domains for their potential as localization-based, genetically encoded biosensors of Cdc42 or Rac activity

Rac and Cdc42 are Rho GTPases which regulate the formation of lamellipoda and filopodia and are therefore crucial in processes such as cell migration. Relocation-based biosensors for Rac and Cdc42 have not been characterized well in terms of their specificity or affinity. In this study, we identify relocation sensor candidates for either Rac or Cdc42. We compared their (i) ability to bind the constitutively active Rho GTPases, (ii) specificity for Rac and Cdc42 and (iii) relocation efficiency in cell-based assays. Subsequently, the relocation efficiency was improved by a multi-domain approach. For Rac1 we found a sensor candidate with low relocation efficiency. For Cdc42 we found several sensors with sufficient relocation efficiency and specificity. These optimized sensors enable the wider application of Rho GTPase relocation sensors, which was showcased by the detection of local endogenous Cdc42 activity at assembling invadopodia. Moreover, we tested several fluorescent proteins and HaloTag for their influence on the recruitment efficiency of the Rho location sensor, to find optimal conditions for a multiplexing experiment. The characterization and optimization of relocation sensors will broaden their application and acceptance.

cell biology↗

bioRxiv2022

SUMO Activated Target Traps (SATTs) enable the identification of a comprehensive E3-specific SUMO proteome.

Ubiquitin and ubiquitin-like conjugation cascades consist of dedicated E1, E2 and E3 enzymes with E3s providing substrate specificity. Mass spectrometry-based approaches have enabled the identification of more than 60,000 acceptor sites for ubiquitin and 40,000 acceptor sites for SUMO2/3. However, E3-to-target wiring is poorly understood. The limited number of SUMO E3s provides the unique opportunity to systematically study E3-substrate wiring. We developed SUMO Activated Target Traps (SATTs) and systematically identified substrates for eight different SUMO E3s, PIAS1, PIAS2, PIAS3, PIAS4, NSMCE2, ZNF451, LAZSUL(ZNF451-3) and ZMIZ2. SATTs enabled us to identify 590 SUMO1 and 1195 SUMO2/3 targets in an E3-specific manner. We found pronounced E3 substrate preference, even at the substrate isoform level. Quantitative proteomics enabled us to measure substrate specificity of E3s, quantified using the SATT index. Furthermore, we developed the Polar SATTs web-based tool (https://amsterdamstudygroup.shinyapps.io/PolaRVolcaNoseR/) to browse the dataset in an interactive manner, increasing the accessibility of this resource for the community. Overall, we uncover E3-to-target wiring of 1681 SUMO substrates, highlighting unique and overlapping sets of substrates for eight different SUMO E3 ligases.

molecular biology↗

bioRxiv2022

ARHGAP17 regulates the spatiotemporal activity of Cdc42 at invadopodia

Invadopodia formation is regulated by Rho GTPases. However, the molecular mechanisms that control Rho GTPase signaling at invadopodia remain poorly understood. Here, we have identified ARHGAP17, a Cdc42-specific RhoGAP, as a key regulator of invadopodia in breast cancer cells and by RhoGAPs characterized a novel ARHGAP17-mediated signaling pathway that controls the spatiotemporal activity of Cdc42 during invadopodia turnover. Our results show that during invadopodia assembly, ARHGAP17 localizes to the invadopodia ring and restricts the activity of Cdc42 to the invadopodia core, where it promotes invadopodia growth. Invadopodia disassembly starts when ARHGAP17 translocates from the invadopodia ring to the core, in a process that is mediated by its interaction with the Cdc42 effector CIP4. Once at the core, ARHGAP17 inactivates Cdc42 to promote invadopodia disassembly. Our results in invadopodia provide new insights on the coordinated transition between the activation and inactivation of Rho GTPases.

cell biology↗

bioRxiv2022

Endothelial transmigration hotspots limit vascular leakage through heterogeneous expression of ICAM1

Upon inflammation, leukocytes leave the circulation by crossing the endothelial monolayer at specific transmigration hotspot regions. Although these regions support leukocyte transmigration, their functionality is not clear. We found that endothelial hotspots function to limit vascular leakage during transmigration events. Using the photo-convertible probe mEos4b, we traced back and identified original endothelial transmigration hotspots. Using this method, we show that the heterogeneous distribution of ICAM-1 determines the location of the transmigration hotspot. Interestingly, loss of ICAM-1 heterogeneity either by CRISPR/Cas9-induced knockout of ICAM-1 or equalizing the distribution of ICAM-1 in all endothelial cells results in loss of TEM hotspots but not necessarily in reduced TEM events. Functionally, loss of endothelial hotspots results in increased vascular leakage during TEM. Mechanistically, we demonstrate that the 3 extracellular Ig-like domains of ICAM-1 are crucial for hotspot recognition. However, the intracellular tail of ICAM-1 and the 4th Ig-like dimerization domain are not involved, indicating that intracellular signalling or ICAM-1 dimerization is not required for hotspot recognition. Together, we discovered that hotspots function to limit vascular leakage during inflammation-induced extravasation.

immunology↗

bioRxiv2021

Heterogeneity and dynamics of ERK and Akt activation by G protein-coupled receptors depend on the activated heterotrimeric G proteins

Kinases are fundamental regulators of cellular functions and play key roles in GPCR-mediated signaling pathways. Kinase activities are generally inferred from cell lysates, hiding the heterogeneity of the individual cellular responses to extracellular stimuli. Here, we study the dynamics and heterogeneity of ERK and Akt in genetically identical cells in response to activation of endogenously expressed GPCRs. We use kinase translocation reporters, high-content imaging, automated segmentation and clustering methods to assess cell-to-cell signaling heterogeneity. We observed ligand-concentration dependent response kinetics to histamine, a2-adrenergic, and S1P receptor stimulation that varied between cells. By using G protein inhibitors, we observed that Gq mediated the ERK and Akt responses to histamine. In contrast, Gi was necessary for ERK and Akt activation in response to 2-adrenergic receptor activation. ERK and Akt were also strongly activated by S1P, showing high heterogeneity at the single cell level, especially for ERK. In all cases, the cellular heterogeneity was not explained by distinct pre-stimulation levels or saturation of the measured response. Cluster analysis of time-series derived from 68,000 cells obtained under the different conditions revealed several distinct populations of cells that display similar response dynamics. The single-cell ERK responses to histamine and brimonidine showed remarkably similar dynamics, despite the activation of different heterotrimeric G proteins. In contrast, the ERK response dynamics to S1P showed high heterogeneity, which was reduced by the inhibition of Gi. To conclude, we have set up an imaging and analysis strategy that reveals substantial cell-to-cell heterogeneity in kinase activity driven by GPCRs. O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

cell biology↗