This is the first study demonstrating a molecular makeup of the human thyroid circadian clock. Characterization of the thyroid clock machinery alterations upon thyroid nodule malignant transformation contributes to understanding the connections between circadian clocks and oncogenic transformation. Moreover, it might help in improving the thyroid nodule preoperative diagnostics.

SUMMARY Mycobacterium tuberculosis (Mtb) defends itself against host immunity and chemotherapy at several levels, including the repair or degradation of irreversibly oxidized proteins (IOPs). To investigate how Mtb deals with IOPs that can neither be repaired nor degraded, we used new chemical and biochemical probes and improved image analysis algorithms for time-lapse microscopy to reveal a defense against stationary phase stress, oxidants and antibiotics— the sequestration of IOPs into aggregates in association with the chaperone ClpB, followed by the asymmetric distribution of aggregates within bacteria and between their progeny. Progeny born with minimal IOPs grew faster and better survived a subsequent antibiotic stress than their IOP-burdened sibs. ClpB-deficient Mtb had a marked recovery defect from stationary phase or antibiotic exposure and survived poorly in mice. Treatment of tuberculosis might be assisted by drugs that cripple the pathway by which Mtb buffers, sequesters and asymmetrically distributes IOPs.

Microscopy of the beating heart in embryos provides key insights for the study of its development. However, achieving a sufficiently high framerate is difficult with conventional cameras. Here, we present a method to reconstruct an image sequence covering one heartbeat from images acquired over multiple cardiac cycles, with each image triggered at an arbitrary time, by sorting them according to their similarity. We formulate this task as a traveling salesman problem for which efficient solutions are available. We characterized our approach by evaluating its accuracy on synthetically generated data and sub-sampled high-speed movies of the beating heart in zebrafish larvae. We found that reconstructions are reliable when each phase produces a distinct image and when there are no abrupt cardiac motions, which amounts to collecting at least 100 images in a typical microscopy imaging scenario. We finally demonstrate that our method can be applied on data acquired with a fast confocal microscope, increasing its limited frame-rate by a factor 8.

Fluorescence laser-scanning microscopy is a wellestablished imaging technique in biology, available in many imaging facilities to investigate structures within live animal embryos such as zebrafish. Laser scanning microscopes (LSM) are limited when used to study dynamic heart morphology or function. Despite their ability to resolve static cardiac structures, the fast motion of the beating heart introduces severe artifacts in the scanned images and gating the acquisitions to the heartbeat is difficult to implement on traditional microscopes. Furthermore, although alternative high-speed imaging instruments exist, they are not widely available (due to cost or hardware complications), putting dynamic cardio-vascular imaging off-limits for many researchers. Here, we propose a method that allows imaging the beating heart on conventional LSMs. Our approach takes a set of images containing scanning aberrations, each triggered at an arbitrary time in the cardiac cycle, and assembles an image sequence that covers a single cardiac heartbeat. The steps are: (i) frame sorting by solving a traveling salesman problem; (ii) heartbeat duration estimation; and (iii) scan-delay compensation via space-time resampling. We characterize the performance of our method on synthetic data under several light intensities and scanning speeds. We further illustrate our method's applicability on experimental images acquired in live zebrafish larvae, and show that the reconstruction quality approaches that of fast, state-of-the-art microscopes. Our technique opens the possibility of using LSMs to carry out studies of cardiac dynamics, without the need for prospective gating or fast microscopes.

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