Chemotacting eukaryotic cells are able to detect very small chemical gradients (~1%) for a large range of background concentrations. For these chemical environments, fluctuations in the number of bound ligands will become important. Here, we investigate the effect of receptor noise in a simplified one-dimensional geometry. The auto-and cross-correlations of the noise sources at the front and the back of the cell are explicitly computed using an effective Monte Carlo simulation tool. The resulting stochastic equations for the investigated directional sensing model can be solved analytically in Fourier space. We determine the chemotactic efficiency, a measure of motility for the cell, as a function of several experimental parameters, leading to explicit experimental predictions.Chemotaxis, the directed movement of cells in response to external chemical gradients, plays an important role in a wide variety of biological processes including wound healing, fetal development, and cancer metastasis [1]. The externally diffusing chemoattractant molecules (ligands) bind to cell membrane receptors which activate second messenger signaling pathways. In the case of eukaryotic cells, the subject of this Letter, these pathways eventually leads to cell motion in the form of crawling up the gradient.Surprisingly, eukaryotic cells have been found to chemotax in gradients that are only 1%-2% across the cell body. Furthermore, Dictyostelium discoideum cells, a social amoeba, were found to be able to direct their motion even when the average external chemoattractant concentration was well below the dissociation constant K d (the value for which half the receptors are bound in equilibrium) [2]. In fact, at threshold the difference in the number of bound receptors at the front and the back can be estimated to be on the order of 20 while the total number of bound receptors is only a few hundred. This immediately raises the question of the effect of noise on chemotaxis, a topic that has been studied previously using a variety of approximative techniques [3][4][5][6]. What has been lacking, however, is a formalism that simulates quantitatively the receptor noise and its correlations and uses this as input for an intracellular chemotactic model.In this Letter, we will address the role of receptor noise in directional sensing, the first step in chemotaxis during which cells determine the direction of the gradient. We will use a simplified one-dimensional geometry, schematically shown in Fig. 1, which allows us to obtain analytical expressions for the diffusive part of the directional sensing model. Our 1D cell contains a front and a back, both considers to be points, connected by a line, representing the interior, or cytosol, of the cell. The input S at the front and back of the cell represents the number of bound receptors arising from the simple ligand-receptor interaction L + R 0 ⇌ R 1 . The forward rate k + [L], where [L] represents the ligand concentration, and backward rate k − determine the transitions between the unoccupie...