Biology subjects

Jang, S. S.

Publications and source records attributed to Jang, S. S..

4 recordsLinked to original sources

bioRxiv2025

A covalent recognition strategy enables conspecific mate identification

Reproductive success across animal taxa relies on the unequivocal identification of volatile chemical cues used for sexual communication. These chemical signals, called pheromones, are often structurally nearly identical, sometimes differing only by the oxidation state of a functional group, yet elicit vastly different behaviors. The structural mechanisms driving this exquisite selectivity remain elusive, hindering the rational development of tools to modulate these pathways. Here, we decode the structural logic of pheromone recognition to rationally manipulate insect behavior. Using cryo-electron microscopy and functional mutagenesis, we show that the silkmoth Bombyx mori distinguishes between two highly similar compounds through the selective formation of a thio-hemiaminal, an uncommon covalent bond between the receptor and the pheromone. We leveraged these structural insights to undertake the first rational design of small molecules to disrupt insect mating. By engineering targeted electrophiles that irreversibly anchor to this reactive pocket, we successfully abolished long-range mate-tracking behavior in an agricultural pest model in vivo. This work identifies an unrecognized chemical strategy driving olfactory specificity and provides a blueprint for the rational design of airborne behavior modulators.

neuroscience↗

bioRxiv2024

RNA adapts its flexibility to efficiently fold and resist unfolding

Recent studies have demonstrated that the mechanisms through which biopolymers like RNA interconvert between multiple folded structures are critical for their cellular functions. A major obstacle to elucidating these mechanisms is the lack of experimental approaches that can resolve these interconversions between functionally relevant biomolecular structures. Here, we dissect the complete set of structural rearrangements executed by an ultra-stable RNA, the UUCG stem-loop, at the single-molecule level using a nano-electronic device with microsecond time resolution. We show that the stem-loop samples at least four conformations along two folding pathways leading to two distinct folded structures, only one of which has been previously observed. By modulating its flexibility, the stem-loop can adaptively select between these pathways, enabling it to both fold rapidly and resist unfolding. This paradigm of stabilization through compensatory changes in flexibility broadens our understanding of stable RNA structures and is expected to serve as a general strategy employed by all biopolymers.

biophysics↗

bioRxiv2022

Persistent post-COVID-19 smell loss is associated with inflammatory infiltration and altered olfactory epithelial gene expression

Most human subjects infected by SARS-CoV-2 report an acute alteration in their sense of smell, and more than 25% of COVID patients report lasting olfactory dysfunction. While animal studies and human autopsy tissues have suggested mechanisms underlying acute loss of smell, the pathophysiology that underlies persistent smell loss remains unclear. Here we combine objective measurements of smell loss in patients suffering from post-acute sequelae of SARS-CoV-2 infection (PASC) with single cell sequencing and histology of the olfactory epithelium (OE). This approach reveals that the OE of patients with persistent smell loss harbors a diffuse infiltrate of T cells expressing interferon-gamma; gene expression in sustentacular cells appears to reflect a response to inflammatory signaling, which is accompanied by a reduction in the number of olfactory sensory neurons relative to support cells. These data identify a persistent epithelial inflammatory process associated with PASC, and suggests mechanisms through which this T cell-mediated inflammation alters the sense of smell.

neuroscience↗

bioRxiv2022

Characterizing the conformational free-energy landscape of RNA using single-molecule field-effect transistors

We have developed and used high-time-resolution, single-molecule field-effect transistors (smFETs) to characterize the conformational free-energy landscape of RNA stem-loops. Stem-loops are some of the most common RNA structural motifs and serve as building blocks for the formation of more complex RNA structures. Given their prevalence and integral role in RNA folding, the kinetics of stem-loop (un)folding has been extensively characterized using both experimental and computational approaches. Interestingly, these studies have reported vastly disparate timescales of (un)folding, which has been recently interpreted as evidence that (un)folding of even simple stem-loops occurs on a highly rugged conformational energy landscape. Because smFETs do not rely on fluorophore reporters of conformation or on the application of mechanical (un)folding forces, they provide a unique and complementary approach that has allowed us to directly monitor tens of thousands of (un)folding events of individual stem-loops at a 200 s time resolution. Our results show that under our experimental conditions, stem-loops fold and unfold over a 1-200 ms timescale during which they transition between ensembles of unfolded and folded conformations, the latter of which is composed of at least two sub-populations. The 1-200 ms timescale of (un)folding we observe here indicates that smFETs report on complete (un)folding trajectories in which unfolded conformations of the RNA spend long periods of time wandering the free-energy landscape before sampling one of several misfolded conformations or, alternatively, the natively folded conformation. Our findings demonstrate how the combination of single-molecule sensitivity and high time resolution makes smFETs unique and powerful tools for characterizing the conformational free-energy landscape of RNA and highlight the extremely rugged landscape on which even the simplest RNA structural elements fold.

biophysics↗