107 research outputs found
One Style is All you Need to Generate a Video
In this paper, we propose a style-based conditional video generative model.
We introduce a novel temporal generator based on a set of learned sinusoidal
bases. Our method learns dynamic representations of various actions that are
independent of image content and can be transferred between different actors.
Beyond the significant enhancement of video quality compared to prevalent
methods, we demonstrate that the disentangled dynamic and content permit their
independent manipulation, as well as temporal GAN-inversion to retrieve and
transfer a video motion from one content or identity to another without further
preprocessing such as landmark points
Unpaired Image-to-Image Translation with Limited Data to Reveal Subtle Phenotypes
Unpaired image-to-image translation methods aim at learning a mapping of
images from a source domain to a target domain. Recently, these methods proved
to be very useful in biological applications to display subtle phenotypic cell
variations otherwise invisible to the human eye. However, current models
require a large number of images to be trained, while mostmicroscopy
experiments remain limited in the number of images they can produce. In this
work, we present an improved CycleGAN architecture that employs self-supervised
discriminators to alleviate the need for numerous images. We demonstrate
quantitatively and qualitatively that the proposed approach outperforms the
CycleGAN baseline, including when it is combined with differentiable
augmentations. We also provide results obtained with small biological datasets
on obvious and non-obvious cell phenotype variations, demonstrating a
straightforward application of this method
Monitored eCLIP: high accuracy mapping of RNA-protein interactions
International audienceCLIP-seq methods provide transcriptome-wide snapshots of RNA-protein interactions in live cells. Reverse transcriptases stopping at cross-linked nucleotides sign for RNA-protein binding sites. Reading through cross-linked positions results in false binding site assignments. In the 'monitored enhanced CLIP' (meCLIP) method, a barcoded biotiny-lated linker is ligated at the 5 end of cross-linked RNA fragments to purify RNA prior to the reverse transcription. cDNAs keeping the barcode sequence correspond to reverse transcription read-throughs. Read through occurs in unpredictable proportions, representing up to one fourth of total reads. Filtering out those reads strongly improves reliability and precision in protein binding site assignment
Weakly supervised cross-modal learning in high-content screening
With the surge in available data from various modalities, there is a growing
need to bridge the gap between different data types. In this work, we introduce
a novel approach to learn cross-modal representations between image data and
molecular representations for drug discovery. We propose EMM and IMM, two
innovative loss functions built on top of CLIP that leverage weak supervision
and cross sites replicates in High-Content Screening. Evaluating our model
against known baseline on cross-modal retrieval, we show that our proposed
approach allows to learn better representations and mitigate batch effect. In
addition, we also present a preprocessing method for the JUMP-CP dataset that
effectively reduce the required space from 85Tb to a mere usable 7Tb size,
still retaining all perturbations and most of the information content
Telomere tethering at the nuclear periphery is essential for efficient DNA double strand break repair in subtelomeric region
In the yeast Saccharomyces cerevisiae that lacks lamins, the nuclear pore complex (NPC) has been proposed to serve a role in chromatin organization. Here, using fluorescence microscopy in living cells, we show that nuclear pore proteins of the Nup84 core complex, Nup84p, Nup145Cp, Nup120p, and Nup133p, serve to anchor telomere XI-L at the nuclear periphery. The integrity of this complex is shown to be required for repression of a URA3 gene inserted in the subtelomeric region of this chromosome end. Furthermore, altering the integrity of this complex decreases the efficiency of repair of a DNA double-strand break (DSB) only when it is generated in the subtelomeric region, even though the repair machinery is functional. These effects are specific to the Nup84 complex. Our observations thus confirm and extend the role played by the NPC, through the Nup84 complex, in the functional organization of chromatin. They also indicate that anchoring of telomeres is essential for efficient repair of DSBs occurring therein and is important for preserving genome integrity
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