Abstract:Cells rely on the precise action of proteins that detect and repair DNA damage. However, gene expression noise causes fluctuations in protein abundances that may compromise repair. For the Ada protein in Escherichia coli, which induces its own expression upon repairing DNA alkylation damage, we found that undamaged cells on average produce one Ada molecule per generation. Because production is stochastic, many cells have no Ada molecules and cannot induce the damage response until the first expression event oc… Show more
“…Regardless of the underlying mechanism we have found that the slowing down of diffusion allows for visualization and even accurate counting of fluorescent proteins at exceptionally low abundances, using conventional TIRF microscopy setups 10,11 . As opposed to chemical fixation protocols, this mechanical fixation can be achieved with no loss of fluorescence, and extensive controls with photobleaching steps and tandem dimer FPs 11 suggest that we do detect close to all mature fluorescent molecules.…”
Section: Introductionmentioning
confidence: 90%
“…For instance, in bacteria, a large fraction of the proteome is present in just a handful copies per cell 8 . These proteins have been very difficult to analyze 9 , and include many key regulatory proteins that contribute greatly to the phenotypic heterogeneity of cells 10 . We recently developed a microfluidic platform, termed MACS for M icrofluidics- A ssisted C ell S creening, to address the limitations of flow cytometry and traditional microscopy 11 .…”
Section: Introductionmentioning
confidence: 99%
“…As opposed to chemical fixation, this procedure does not quench the fluorescence signal, and makes it possible to accurately identify single FPs in living cells. We previously quantified this effect by applying our method to single FPs as well as FP-FP fusions, by counting photobleaching steps 11 , and by comparing the results to other methods 10 , showing that the approach makes it possible to accurately count the number of fluorescent proteins per cell even when cells contain just one or two protein copies 10 . The flattening of cells in the z-dimension and widening in the x-y plane also helps with counting in three ways: (1) by reducing the projected autofluorescence per area unit and thereby increasing the signal-to-noise ratio for FP detection, (2) by further separating the proteins from each other to reduce the risk of spatial overlap, and (3) by making it possible to keep the whole cell in focus.…”
Section: Introductionmentioning
confidence: 99%
“…The MOPS-based rich defined medium EZRDM (Teknova) works even better for this purpose. By paying close attention to cleaning procedures at different stages, background fluorescence drops to as few as 0.3 spots/cell for a control strain that does not express any fluorescent proteins 10 .…”
Studies that rely on fluorescent imaging of non-adherent cells that are cultured in suspension, such as Escherichia coli, are often hampered by trade-offs that have to be made between data-throughput and imaging resolution.. We developed a platform for microfluidics-assisted cell screening (‘MACS’)that overcomes this trade-off by enabling high-throughput and automated single-cell microscopy for a wide range of types and sizes of cells. Since cells can be rapidly sampled directly from a suspension culture, MACS bypasses the need for sample preparation and chemical fixation and therefore allows measurements without perturbing the native cell physiology. The setup can also be integrated with complex growth chambers, and can be used to enrich or sort the imaged cells. Furthermore, MACS facilitates visualization of individual cytoplasmic proteins in Escherichia coli, allowing low-abundance proteins to be counted using standard total internal reflection fluorescence (TIRF) microscopy. Finally, MACS can be used to impart mechanical pressure for assessing structural integrity of individual cells and their response to mechanical perturbations, or to make cells take up chemicals that otherwise would not pass through the membrane. This protocol describes the assembly of electronic control circuitry, the construction of liquid handling components, and the creation of silicon masters used to cast the microfluidics chip (4-7 d). We describe in detail how to properly cast, cure and bond the two layers of the MACS microfluidics chip (1-4 d). The operation of MACS is described and automation software is provided to integrate MACS control with image acquisition. Finally, we provide instructions for extending MACS using an external growth chamber (1 d) and how to sort rare cells of interest.
“…Regardless of the underlying mechanism we have found that the slowing down of diffusion allows for visualization and even accurate counting of fluorescent proteins at exceptionally low abundances, using conventional TIRF microscopy setups 10,11 . As opposed to chemical fixation protocols, this mechanical fixation can be achieved with no loss of fluorescence, and extensive controls with photobleaching steps and tandem dimer FPs 11 suggest that we do detect close to all mature fluorescent molecules.…”
Section: Introductionmentioning
confidence: 90%
“…For instance, in bacteria, a large fraction of the proteome is present in just a handful copies per cell 8 . These proteins have been very difficult to analyze 9 , and include many key regulatory proteins that contribute greatly to the phenotypic heterogeneity of cells 10 . We recently developed a microfluidic platform, termed MACS for M icrofluidics- A ssisted C ell S creening, to address the limitations of flow cytometry and traditional microscopy 11 .…”
Section: Introductionmentioning
confidence: 99%
“…As opposed to chemical fixation, this procedure does not quench the fluorescence signal, and makes it possible to accurately identify single FPs in living cells. We previously quantified this effect by applying our method to single FPs as well as FP-FP fusions, by counting photobleaching steps 11 , and by comparing the results to other methods 10 , showing that the approach makes it possible to accurately count the number of fluorescent proteins per cell even when cells contain just one or two protein copies 10 . The flattening of cells in the z-dimension and widening in the x-y plane also helps with counting in three ways: (1) by reducing the projected autofluorescence per area unit and thereby increasing the signal-to-noise ratio for FP detection, (2) by further separating the proteins from each other to reduce the risk of spatial overlap, and (3) by making it possible to keep the whole cell in focus.…”
Section: Introductionmentioning
confidence: 99%
“…The MOPS-based rich defined medium EZRDM (Teknova) works even better for this purpose. By paying close attention to cleaning procedures at different stages, background fluorescence drops to as few as 0.3 spots/cell for a control strain that does not express any fluorescent proteins 10 .…”
Studies that rely on fluorescent imaging of non-adherent cells that are cultured in suspension, such as Escherichia coli, are often hampered by trade-offs that have to be made between data-throughput and imaging resolution.. We developed a platform for microfluidics-assisted cell screening (‘MACS’)that overcomes this trade-off by enabling high-throughput and automated single-cell microscopy for a wide range of types and sizes of cells. Since cells can be rapidly sampled directly from a suspension culture, MACS bypasses the need for sample preparation and chemical fixation and therefore allows measurements without perturbing the native cell physiology. The setup can also be integrated with complex growth chambers, and can be used to enrich or sort the imaged cells. Furthermore, MACS facilitates visualization of individual cytoplasmic proteins in Escherichia coli, allowing low-abundance proteins to be counted using standard total internal reflection fluorescence (TIRF) microscopy. Finally, MACS can be used to impart mechanical pressure for assessing structural integrity of individual cells and their response to mechanical perturbations, or to make cells take up chemicals that otherwise would not pass through the membrane. This protocol describes the assembly of electronic control circuitry, the construction of liquid handling components, and the creation of silicon masters used to cast the microfluidics chip (4-7 d). We describe in detail how to properly cast, cure and bond the two layers of the MACS microfluidics chip (1-4 d). The operation of MACS is described and automation software is provided to integrate MACS control with image acquisition. Finally, we provide instructions for extending MACS using an external growth chamber (1 d) and how to sort rare cells of interest.
“…As part of this focus, we have included materials based on the work of Vilar et al . (2003) and, more recently, Uphoff et al . (2016) on the roles of regulatory noise, including the stochastic processes that underlie DNA–protein interactions (Elowitz et al ., 2002; Maheshri and O’Shea, 2007).…”
Section: Process Description and Outcomesmentioning
We describe the recursive design process used to generate a nonsurvey introductory biology course built on a framework of evolutionary (social, sexual, natural, and nonadaptive) mechanisms, physicochemical processes and constraints, and systematic behaviors that shape all biological systems. The resulting narrative (based on a free text, Biofundamentals) and associated materials are described, and the ways in which they have been revised on the basis of students’ responses to drawing- and text-based formative assessments, interactive readings, and students’ response to exam questions are elaborated. Strategies to encourage student persistence through assessment strategies (such as “I know it now” tests) are described.
Bacterial transcription is highly complex. Producing a single RNA molecule requires thousands of molecular steps, each subject to cellular regulation. It is therefore peculiar that, for a long time, the kinetics of RNA production in E. coli were imagined to be extremely simple, frequently described as a Poisson process where the probability of making RNA from the gene is constant in time. However, as single-cell measurements have enabled the experimental interrogation of transcription, assumptions of simplicity have begun to fail. Thus, the Poissonian picture was upended by the observation that transcription from multiple E. coli promoters takes place in a pulsatile, bursty manner, a behavior later found in eukaryotes as well [1] .
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