Suliana Manley

MTERF1 loss buffers against pathogenic mtDNA deletions through transcriptional regulation

The paper identifies MTERF1 as a suppressor of mtDNA deletion pathologies by showing its loss enhances mitochondrial function through transcriptional relief.

Asymmetric mitochondrial trafficking maintains network morphology by balancing perinuclear biogenesis

The paper investigates asymmetric mitochondrial trafficking in cultured cells, showing it maintains mitochondrial network morphology by balancing perinuclear biogenesis.

Pearling Drives Mitochondrial DNA Nucleoid Distribution

The paper shows that mitochondrial DNA nucleoid distribution is controlled by pearling and cristae structure, revealing a mechanism for nucleoid spacing and segregation.

Quantitative Expansion Microscopy for In Situ Estimation of Endogenous Target Abundance

This paper introduces qExM, a method to estimate endogenous protein abundance in expanded samples, achieving a 9.4% mean percent error in nuclear pore complex subunit stoichiometry.

Smart hybrid microscopy for cell-friendlydetection of rare events

This paper introduces hybrid-EDA, a microscopy framework that reduces phototoxicity while capturing rare biological events using event-driven fluorescence acquisitions.

The biophysical mechanism of mitochondrial pearling

This study identifies a biophysical mechanism for mitochondrial pearling, showing it occurs spontaneously in various cell types and is driven by internal pressure or external tension.

An updated inventory of genes essential for oxidative phosphorylation identifies a mitochondrial origin in familial Meniere disease

Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression

Spotiflow improves spot detection in microscopy images using deep learning, achieving subpixel accuracy and efficiency across diverse datasets.

Surface passivation and functionalization for interferometric scattering microscopy

This paper describes surface passivation and functionalization methods for interferometric scattering microscopy to reduce non-specific binding and enable single-molecule experiments.

An unsupervised deep learning framework encodes super-resolved image features to decode bacterial cell cycle

Enso decodes bacterial cell cycle and cell type from static SMLM images using unsupervised deep learning without prior knowledge.

Single-molecule dynamics and genome-wide transcriptomics reveal that NF-kB (p65)-DNA binding times can be decoupled from transcriptional activation

The paper investigates how NF-kB (p65) DNA binding time relates to transcriptional activation by analyzing mutants affecting DNA binding and protein-protein interaction domains.