Dataset Information

A biosensor for fluorescent determination of ADP with high time resolution.

ABSTRACT: Nearly every cellular process requires the presence of ATP. This is reflected in the vast number of enzymes like kinases or ATP hydrolases, both of which cleave the terminal phosphate from ATP, thereby releasing ADP. Despite the fact that ATP hydrolysis is one of the most fundamental reactions in biological systems, there are only a few methods available for direct measurements of enzymatic-driven ATP conversion. Here we describe the development of a reagentless biosensor for ADP, the common product of all ATPases and kinases, which allows the real-time detection of ADP, produced enzymatically. The biosensor is derived from a bacterial actin homologue, ParM, as protein framework. A single fluorophore (a diethylaminocoumarin), attached to ParM at the edge of the nucleotide binding site, couples ADP binding to a >3.5-fold increase in fluorescence intensity. The labeled ParM variant has high affinity for ADP (0.46 mum) and a fast signal response, controlled by the rate of ADP binding to the sensor (0.65 microm(-1)s(-1)). Amino acids in the active site were mutated to reduce ATP affinity and achieve a >400-fold discrimination against triphosphate binding. A further mutation ensured that the final sensor did not form filaments and, as a consequence, has extremely low ATPase activity. The broad applicability of N-[2-(1-maleimidyl)ethyl]-7-diethylaminocoumarin-3-carboxamide (MDCC)-ParM as a sensitive probe for ADP is demonstrated in real-time kinetic assays on two different ATPases and a protein kinase.

SUBMITTER: Kunzelmann S

PROVIDER: S-EPMC2785155 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A biosensor for fluorescent determination of ADP with high time resolution.

Kunzelmann Simone S Webb Martin R MR

The Journal of biological chemistry 20090929 48

Nearly every cellular process requires the presence of ATP. This is reflected in the vast number of enzymes like kinases or ATP hydrolases, both of which cleave the terminal phosphate from ATP, thereby releasing ADP. Despite the fact that ATP hydrolysis is one of the most fundamental reactions in biological systems, there are only a few methods available for direct measurements of enzymatic-driven ATP conversion. Here we describe the development of a reagentless biosensor for ADP, the common pro ...[more]

PMID: 19801632

Similar Datasets

Project description:For many reaction processes, such as catalysis, phase transformations, nanomaterial synthesis etc., nanoscale observations at high spatial (sub-nanometer) and temporal (millisecond) resolution are required to characterize and comprehend the underlying factors that favor one reaction over another. The combination of such spatial and temporal resolution (up to 600 µs), while rich in information, produces a large number of snapshots, each of which must be analyzed to obtain the structural (and thereby chemical) information. Here we present a methodology for automated quantitative measurement of real-time atomic position fluctuations in a nanoparticle. We leverage a combination of several image processing algorithms to precisely identify the positions of the atomic columns in each image. A geometric model is then used to measure the time-evolution of distances and angles between neighboring atomic columns to identify different phases and quantify local structural fluctuations. We apply this technique to determine the atomic-level fluctuations in the relative fractions of metal and metal-carbide phases in a cobalt catalyst nanoparticle during single-walled carbon nanotube (SWCNT) growth. These measurements provided a means to obtain the number of carbon atoms incorporated into and released from the catalyst particle, thereby helping resolve carbon reaction pathways during SWCNT growth. Further we demonstrate the use of this technique to measure the reaction kinetics of iron oxide reduction. Apart from reducing the data analysis time, the statistical approach allows us to measure atomic distances with sub-pixel resolution. We show that this method can be applied universally to measure atomic positions with a precision of 0.01 nm from any set of atomic-resolution video images. With the advent of high time-resolution direct detection cameras, we anticipate such methods will be essential in addressing the metrology problem of quantifying large datasets of time-resolved images in future.

Project description:The extraction of fluorescence time course data is a major bottleneck in high-throughput live-cell microscopy. Here we present an extendible framework based on the open-source image analysis software ImageJ, which aims in particular at analyzing the expression of fluorescent reporters through cell divisions. The ability to track individual cell lineages is essential for the analysis of gene regulatory factors involved in the control of cell fate and identity decisions. In our approach, cell nuclei are identified using Hoechst, and a characteristic drop in Hoechst fluorescence helps to detect dividing cells. We first compare the efficiency and accuracy of different segmentation methods and then present a statistical scoring algorithm for cell tracking, which draws on the combination of various features, such as nuclear intensity, area or shape, and importantly, dynamic changes thereof. Principal component analysis is used to determine the most significant features, and a global parameter search is performed to determine the weighting of individual features. Our algorithm has been optimized to cope with large cell movements, and we were able to semi-automatically extract cell trajectories across three cell generations. Based on the MTrackJ plugin for ImageJ, we have developed tools to efficiently validate tracks and manually correct them by connecting broken trajectories and reassigning falsely connected cell positions. A gold standard consisting of two time-series with 15,000 validated positions will be released as a valuable resource for benchmarking. We demonstrate how our method can be applied to analyze fluorescence distributions generated from mouse stem cells transfected with reporter constructs containing transcriptional control elements of the Msx1 gene, a regulator of pluripotency, in mother and daughter cells. Furthermore, we show by tracking zebrafish PAC2 cells expressing FUCCI cell cycle markers, our framework can be easily adapted to different cell types and fluorescent markers.

Dataset Information

A biosensor for fluorescent determination of ADP with high time resolution.

Publications

A biosensor for fluorescent determination of ADP with high time resolution.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets