S. Ali Shariati

Codon-dependent regulation of mRNA translation and stability by ZC3H7A and ZC3H7B RNA-binding proteins

This study identifies ZC3H7A and ZC3H7B as RNA-binding proteins that regulate mRNA stability and translation by targeting non-optimal A/U3 codons.

Quantitative CDK2 Dynamics Are Linked to Cell Fate Decisions in Differentiating Trophoblast Stem Cells

The paper shows CDK2 activity levels correlate with different cell fate outcomes in differentiating trophoblast stem cells.

Direct Mapping of CDK2 Substrates in Embryonic Stem Cells Uncovers an AP-Site Repair Mechanism via HMCES Phosphorylation

The paper identifies CDK2 substrates in mouse ESCs, revealing HMCES phosphorylation's role in AP-site repair and ESC proliferation.

Spatially defined axonal guidance in neural organoids with micropatterned microfluidic channels

This paper introduces a microfluidic platform called directoids to study directional axonal growth between neural organoids, showing robust directional bias in axon outgrowth.

E2F1 induces a G0-G1 reentry transcriptional program without changing chromatin accessibility

The paper shows E2F1 induces cell-cycle reentry without changing chromatin accessibility by using pre-existing regulatory elements.

Enhanced Cell Tracking Using A GAN-based Super-Resolution Video-to-Video Time-Lapse Microscopy Generative Model

This paper introduces tGAN, a GAN-based model that generates synthetic time-lapse microscopy data to improve cell tracking by reducing reliance on manual annotations.

Enhanced cell segmentation with limited annotated data using generative adversarial networks

This paper proposes a customized CycleGAN to enhance cell segmentation with limited annotated data, showing improved performance over conventional methods.

Self-organization of embryonic stem cells into a reproducible embryo model through epigenome editing

This paper shows that CRISPRa activation of two endogenous regulatory elements can self-organize ESCs into embryo-like structures with spatial and molecular features similar to pre-gastrulation mouse embryos.

DeepSea: An efficient deep learning model for single-cell segmentation and tracking of time-lapse microscopy images

DeepSea is a deep learning model for segmenting and tracking single cells in time-lapse microscopy images, showing cell size control in embryonic stem cells during G1 phase.

Reversible disruption of specific transcription factor-DNA interactions using CRISPR/Cas9

This study develops a CRISPR/Cas9 method to reversibly disrupt specific transcription factor-DNA interactions and assess their functional impact on gene expression and cell division.