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Dharsan Soundarrajan

Researcher at University of Notre Dame

Publications -  9
Citations -  111

Dharsan Soundarrajan is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Calcium signaling & Cell signaling. The author has an hindex of 3, co-authored 7 publications receiving 66 citations. Previous affiliations of Dharsan Soundarrajan include Auburn University.

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Effects of Iron-Oxide Nanoparticle Surface Chemistry on Uptake Kinetics and Cytotoxicity in CHO-K1 Cells

TL;DR: Interestingly, 2k Da PEG-modifed SPIONs displayed the lowest cellular uptake and cytotoxicity among all studied particles, emphasizing the importance of surface coatings when engineering nanoparticles for biomedical applications.
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Decoding Calcium Signaling Dynamics during Drosophila Wing Disc Development.

TL;DR: This work designed a quantitative image-analysis pipeline for decoding organ-level calcium signaling, and extracted spatiotemporal features of calcium signaling dynamics during the development of the Drosophila larval wing disc, a genetic model for organogenesis.
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Interplay between morphogen-directed positional information systems and physiological signaling

TL;DR: This short review highlights a selective set of studies that have investigated the roles of physiological signaling in modulating and mediating morphogen‐based pattern formation and concludes that mounting evidence demonstrates that physiological signaling plays a role in ensuring robustness of morphogen-based signaling.
Posted ContentDOI

From spikes to intercellular waves: tuning the strength of calcium stimulation modulates organ size control

TL;DR: A generalized multicellular model of Ca2+ is developed that captures all the key categories ofCa2+ activity as a function of key hormonal signals and reveals that a “goldilocks zone” of optimal Ca2+.
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From spikes to intercellular waves: Tuning intercellular calcium signaling dynamics modulates organ size control.

TL;DR: In this article, the authors used a combination of computational modeling and experimental approaches to identify two different populations of cells within tissues that are connected by gap junction proteins, termed as initiator cells and standby cells.