Biology subjects

Jhunjhunwala, A.

Publications and source records attributed to Jhunjhunwala, A..

4 recordsLinked to original sources

bioRxiv2024

Magnetically Steered Cell Therapy For Functional Restoration Of Intraocular Pressure Control In Open-Angle Glaucoma

Trabecular meshwork (TM) cell therapy has been proposed as a next-generation treatment for elevated intraocular pressure (IOP) in glaucoma, the most common cause of irreversible blindness. Using a magnetic cell steering technique with excellent efficiency and tissue-specific targeting, we delivered two types of cells into a mouse model of glaucoma: either human adipose-derived mesenchymal stem cells (hAMSCs) or induced pluripotent cell derivatives (iPSC-TM cells). We observed a 4.5 [3.1, 6.0] mmHg or 27% reduction in intraocular pressure (IOP) for nine months after a single dose of only 1500 magnetically-steered hAMSCs, explained by increased outflow through the conventional pathway and associated with an higher TM cellularity. iPSC-TM cells were also effective, but less so, showing only a 1.9 [0.4, 3.3] mmHg or 13% IOP reduction and increased risk of tumorigenicity. In both cases, injected cells remained detectable in the iridocorneal angle three weeks post-transplantation. Based on the locations of the delivered cells, the mechanism of IOP lowering is most likely paracrine signaling. We conclude that magnetically-steered hAMSC cell therapy has potential for long-term treatment of ocular hypertension in glaucoma. One Sentence SummaryA novel magnetic cell therapy provided effective intraocular pressure reduction in a mouse model, motivating future translational studies.

bioengineering↗

bioRxiv2022

Occurrence and classification of T-shaped interactions between nucleobases in RNA structures

Understanding the frequency and structural context of discrete noncovalent interactions between nucleotides is of pivotal significance in establishing the rules that govern RNA structure and dynamics. Although T-shaped contacts (i.e., perpendicular stacking contacts) between aromatic amino acids and nucleobases at the nucleic acid-protein interface have recently garnered attention, the analogous contacts within the nucleic acid structures have not been discussed. In this work, we have developed an automated method for identifying and unambiguously classifying T-shaped interactions between nucleobases. Using this method, we identified a total of 3262 instances of T-shaped (perpendicular stacking) contacts between two nucleobases in an array of RNA structures from an up-to-date dataset of high-resolution crystal structures deposited in the Protein Databank. These analyses add to the understanding of the physicochemical forces that are responsible for structure and dynamics of RNA.

biophysics↗

bioRxiv2021

Occurrences of protonated base triples in RNA are determined by their cooperative binding energies and specific functional requirements

With wide ranging diversity in their geometries, binding strengths and chemical properties, noncanonical base pairs are equipped to intricately regulate and control the structural dynamics of RNA molecules. Protonation of nucleobases adds to the diversity. Compared to the unprotonated scenario, on one hand they open up new alternatives for base pairing interactions (Class I) while on the other, they modulate the geometry and stability of existing base pairing interactions (Class II). In both cases, compensation of the energetic cost associated with nucleobase protonation at physiological pH, can be understood in terms of protonation induced restructuring of charge distribution. This not only leads to modifications in existing base-base interactions but often also leads to additional stabilizing interactions, resulting in the formation of protonated base triples. Here we report our detailed quantum chemical studies, in conjunction with structural bioinformatics based analysis of RNA crystal and NMR structure datasets, probing into the contribution of such protonated triples in the structural dynamics of RNA. Our studies revealed more than 55 varieties of protonated triples in RNA, some of which occur recurrently within conserved structural motifs present in rRNAs, tRNAs and in other synthetic RNAs. Our studies suggest that high occurrence frequencies are associated with protonated triples which satisfy the specific structural requirements of conserved motifs where they occur. For example, protonated triples with flexible geometries are involved in the formation of tertiary contacts between different distant motifs. Stabilization of protonated base pairs, through the induction of additional energetically cooperative interactions, appears to be another factor. These results provide significant insights into the sequence-structure-function relationships in RNA.

biophysics↗

bioRxiv2020

A Comprehensive Survey on the Nature of Ring:Ring Nucleobase Stacking Interactions in RNA: Occurrence, Structural Variability and Classification of the Associated Contacts

The astonishing diversity in folding patterns of RNA 3D structures is crafted by myriads of noncovalent contacts, of which base pairing and stacking are the most prominent. Although the classification scheme proposed by Leontis and Westhof (RNA (2001), 7, 499) has been widely accepted for the annotation of RNA base pairs, the absence of an unambiguous classification system for base stacks appears to be a roadblock for exploring the stacking diversity in RNA. Here we provide an unambiguous and structurally-intuitive scheme for a geometry cum topology based classification of base stacking, where a stack is essentially classified in terms of the topology of the interacting nucleobase faces and the geometry described by the relative orientation of the glycosidic bonds. For heterodimeric stacks, this generates eight basic stacking geometric families, whereas for homodimeric stacks, this generates six of those. Further annotation in terms of the identity of the bases and the region of involvement of purines (5-membered, 6-membered or both rings), leads to the enumeration of 384 distinct RNA base stacks. Based on our classification scheme, we also present an algorithm for automated identification of stacks in RNA crystal structures. Overall, the work described here is expected to greatly facilitate structure-based RNA research.

bioinformatics↗