Biology subjects

Krishnamurthy, S. R.

Publications and source records attributed to Krishnamurthy, S. R..

4 recordsLinked to original sources

bioRxiv2026

A defined multi-kingdom microbial consortium naturalizes the immune system of laboratory mice

Dirty mice experiments suggest that laboratory mice fail to model certain human immune responses due to their limited microbial exposure. The identity, nature, and number of microbes required to normalize the immune system are unknown. Through systematic screening, we uncovered unexpected cross-kingdom microbial interactions and identified four enteric microbes spanning viruses, fungi, and protists sufficient to reproduce key immunological features of pet store mice and adult humans. This consortium also altered cancer outcomes, shifting tumorigenesis toward the anatomical pattern of human familial adenomatous polyposis in ApcMin/+ mice and recapitulating the imperfect response of many patients to chimeric antigen receptor (CAR) T cell therapy. Thus, surprisingly few microbes can profoundly reshape immune states and disease responses, providing a tractable approach to naturalize laboratory mouse immunity.

immunology↗

bioRxiv2025

Endogenous retroelements promote tolerance to dietary antigens

Retroelements are transposable elements that represent a significant portion of eukaryotic genomes. Here, we show that constitutive expression of endogenous retroelements play a key regulatory role in the acquisition of food tolerance. Specifically, inhibition of retroelement reverse transcription abolishes tolerance to dietary antigens and promotes allergic responses. This phenomenon is associated with impaired regulatory T cell differentiation/accumulation and altered dendritic cell tolerogenic function. Mechanistically, innate sensing of retroelement-derived cDNA via cGAS/STING within gut epithelial cells promotes a local tolerogenic milieu. Thus, within the gut, immune reactivity to retroelements act as a local tonic signal required for regulatory T cell induction and differentiation, thereby preventing allergic responses to food. Collectively, these findings uncover retroelements as key regulatory elements and essential allies in maintaining immune tolerance.

immunology↗

bioRxiv2024

Adaptive immunity to retroelements promotes barrier integrity

Maintenance of tissue integrity is a requirement of host survival. This mandate is of prime importance at barrier sites that are constitutively exposed to the environment. Here, we show that exposure of the skin to non-inflammatory xenobiotics promotes tissue repair; more specifically, mild detergent exposure promotes the reactivation of defined retroelements leading to the induction of retroelement-specific CD8+ T cells. These T cell responses are Langerhans cell dependent and establish tissue residency within the skin. Upon injury, retroelement-specific CD8+ T cells significantly accelerate wound repair via IL-17A. Collectively, this work demonstrates that tonic environmental exposures and associated adaptive responses to retroelements can be coopted to preemptively set the tissue for maximal resilience to injury.

immunology↗

bioRxiv2019

Discovery of several thousand highly diverse circular DNA viruses

Although it is suspected that there are millions of distinct viral species, fewer than 9,000 are catalogued in GenBanks RefSeq database. We selectively enriched for and amplified the genomes of circular DNA viruses in over 70 animal samples, ranging from cultured soil nematodes to human tissue specimens. A bioinformatics pipeline, Cenote-Taker, was developed to automatically annotate over 2,500 circular genomes in a GenBank-compliant format. The new genomes belong to dozens of established and emerging viral families. Some appear to be the result of previously undescribed recombination events between ssDNA viruses and ssRNA viruses. In addition, hundreds of circular DNA elements that do not encode any discernable similarities to previously characterized sequences were identified. To characterize these "dark matter" sequences, we used an artificial neural network to identify candidate viral capsid proteins, several of which formed virus-like particles when expressed in culture. These data further the understanding of viral sequence diversity and allow for high throughput documentation of the virosphere.

microbiology↗