Biology subjects

Jha, N.

Publications and source records attributed to Jha, N..

7 recordsLinked to original sources

bioRxiv2026

Evolutionarily Conserved Plasmodium falciparum HSP70-3 Enhances the Immunogenicity of the Established Malaria Vaccine Antigen Circumsporozoite Protein through Cross-Presentation

Background: Clinically approved P. falciparum circumsporozoite protein (PfCSP)-based pre-erythrocytic stage malaria vaccines suffer from sub-optimal efficacy and rapidly waning memory. By decoding these limitations, we fast-tracked vaccine optimization by correcting CSPs fragile immunogenicity using a parasite-derived chaperone. Unlike other orthologues of P. falciparum heat shock protein 70 (PfHSP70), substrate-binding domain (SBD) of PfHSP70-3 is an evolutionarily conserved internal mitochondrial matrix chaperone. We demonstrate that PfHSP70-3-SBD hydrophobic region complexes with PfCSP and targets host CD91 on antigen-presenting cells to trigger cross-presentation, resulting in enhanced immune responses to PfCSP. Methods: In silico analyses predicted interactions among PfHSP70-3-SBD, PfCSP, and CD91 receptor. Recombinant PfHSP70-3-SBD and PfCSP proteins were purified and assessed for in vitro interaction using ELISA and far-western dot blot assays. BALB/c mice were immunized with alum-formulated PfCSP, with or without PfHSP70-3-SBD. PfCSP-specific IgG and IFN-{gamma} expression were evaluated by ELISA and RT-qPCR, respectively. Functional activity was assessed using transgenic Plasmodium berghei expressing PfCSP (Pb/Pf CSP), by sporozoite neutralization assay. Findings: PfHSP70-3-SBD demonstrated a specific interaction with PfCSP. The complex primarily engages CD91 receptor cluster IV, providing a potential mechanistic basis for antigen cross-presentation. Incorporation of PfHSP70-3-SBD enhanced PfCSP-specific total IgG responses and increased IFN-gamma expression in BALB/c mice, indicating improved immunogenicity upon co-formulation. Notably, immune sera neutralized Pb/Pf CSP sporozoites, delaying blood-stage patency until day 12 in 40% of C57BL/6 mice, with no detectable parasitemia in surviving mice for up to 2 months, indicating sustained efficacy against the sporozoite stage. Interpretation: Molecular chaperones, including HSPs, are currently under intense investigation for their immune-potentiating activity, leading to next-generation vaccine development. By utilizing chaperonic domains derived directly from the pathogenic agent itself to serve an essential adjuvant function, this approach reduces reliance on heterologous adjuvants while enhancing antigen-specific immunity. Funding: This work was supported by funding from Indian Council of Medical Research (IIRPSG-2024-01-03940). Keywords: Substrate-binding domain, PfHSP70-3, Adjuvant, Cross-presentation, Pre-erythrocytic stage, Plasmodium falciparum

microbiology↗

bioRxiv2024

Gaia: A Context-Aware Sequence Search and Discovery Tool for Microbial Proteins

Protein sequence similarity search is fundamental to genomics research, but current methods are typically not able to consider crucial genomic context information that can be indicative of protein function, especially in microbial systems. Here we present Gaia (Genomic AI Annotator), a sequence annotation platform that enables rapid, context-aware protein sequence search across genomic datasets. Gaia leverages gLM2, a mixed-modality genomic language model trained on both amino acid sequences and their genomic neighborhoods to generate embeddings that integrate sequence-structure-context information. This approach allows for the identification of functionally related genes that are found in conserved genomic contexts, which may be missed by traditional sequence- or structure-based search alone. Gaia enables real-time search of a curated database comprising over 85M protein clusters (defined at 90% sequence identity) from 131,744 microbial genomes. We compare the sequence, structure and context sensitivity of gLM2 embedding-based search against existing tools like MMseqs2 and Foldseek. We showcase Gaia-enabled discoveries of phage tail proteins and siderophore synthesis loci that were previously difficult to annotate with traditional tools. Gaia search is freely available at https://gaia.tatta.bio.

bioinformatics↗

bioRxiv2024

Diverse Genomic Embedding Benchmark for functional evaluation across the tree of life

Biological foundation models hold significant promise for deciphering complex biological functions. However, evaluating their performance on functional tasks remains challenging due to the lack of standardized benchmarks encompassing diverse sequences and functions. Existing functional annotations are often scarce, biased, and susceptible to train-test leakage, hindering robust evaluation. Furthermore, biological functions manifest at multiple scales, from individual residues to large genomic segments. To address these limitations, we introduce the Diverse Genomic Embedding Benchmark (DGEB), inspired by natural language embedding benchmarks. DGEB comprises six embedding tasks across 18 expert curated datasets, spanning sequences from all domains of life and encompassing both nucleic acid and amino acid modalities. Notably, four datasets enable direct comparison between models trained on different modalities. Benchmarking protein and genomic language models (pLMs and gLMs) on DGEB reveals performance saturation with model scaling on numerous tasks, especially on those with underrepresented sequences (e.g. Archaea). This highlights the limitations of existing modeling objectives and training data distributions for capturing diverse biological functions. DGEB is available as an open-source package with a public leaderboard at https://github.com/TattaBio/DGEB.

bioinformatics↗

bioRxiv2024

A first-in-Plasmodium study on tRNA intron splicing endonuclease PfTSEN1 and its substrate expression in clinical stage malaria

Mature tRNAs play critical role in several cellular processes including protein translation, post-translational-modifications and programmed-cell-death. Maturation of pre-tRNAs require removal of 5-leaders, 3-trailers, splicing of introns and addition of conserved 3-terminal CCA sequence. The tRNA splicing mechanism, an essential step in tRNA maturation govern by a tRNA splicing endonuclease. While the existence of functional tRNA splicing endonuclease(s) in Plasmodium falciparum has not been identified, its significance in other eukaryotes suggests a potential role in tRNA splicing event. Our study identified total tRNAs in Plasmodium and characterize a PftRNA splicing endonuclease (annotated as PfTSEN1) recognised recently as a component of ribonucleoprotein (RNP) complex, and synthesized a naphthoquinone derivative as a novel anti-malarial compound ( TSENi) targeting the functional activity of this protein. Enzyme activity assays elucidated that PfTSEN1 catalyses splicing of in vitro transcribed pre-tRNAleu, the expression of which was confirmed during the clinical stages of malaria parasite by RT-PCR. Interestingly, TSENi binds to and inhibits enzymatic activity of PfTSEN1, and showed potent anti-malarial activity against chloroquine-sensitive 3D7 and resistant strains Dd2 of P. falciparum. Overall, our study deliver key knowledge towards the functional role of PftRNA splicing endonuclease, and its inhibitor TSENi as potent anti-malarial.

molecular biology↗

bioRxiv2023

casmini-tool: a comprehensive database for efficient and specific guide RNA design using dCasMINI

The dCasMINI protein is a hypercompact, nuclease-inactivated CRISPR-Cas system engineered for transcriptional modulation and epigenetic editing [Xu et al., 2021]. The small size of dCas-MINI (529 amino acids), less than half the size of comparable Cas9 molecules, makes it ideal for AAV-based therapies which are frequently limited by AAVs small cargo capacity. Unlike Cas9 or Cas12a, there are no available computational tools for designing dCasMINI guides. To facilitate and accelerate the development of dCasMINI-based applications, we synthesized knowledge regarding dCasMINI guide design and built a website to assist researchers in designing optimal guides for dCasMINI-based experiments for transcriptional inhibition (CRISPRi) and activation (CRISPRa); to ensure that our tool would be useful for therapeutic guide design, in which a guides off-target safety profile is of paramount importance, we specifically optimized alignment parameters for high-sensitivity to comprehensively report genome-wide off-targets. To investigate dCasMINIs full protospacer adjacent motif (PAM) profile, we engineered libraries of PAMs and exhaustively characterized dCasMINIs ability to activate a locus with different PAMs. We also experimentally investigated the importance of each nucleotide position on the guide RNAs ability to activate its target, and characterized a 6bp high-fidelity seed region at the 5 end of the protospacer sequence which we identified to be intolerant to mismatches and deletions, and thus critical for true binding events. Taken together, our tool offers CRISPRi/a guide design for every protein-coding gene in the human genome along with comprehensive off-target prediction, incorporating the most up-to-date information about dCasMINIs full PAM and protospacer design rules. The tool is freely available to use at www.casmini-tool.com.

bioengineering↗

bioRxiv2023

PITAR, a DNA damage-inducible Cancer/Testis long noncoding RNA, inactivates p53 by binding and stabilizing TRIM28 mRNA

In tumors with WT p53, alternate mechanisms of p53 inactivation are reported. Here, we have identified a long noncoding RNA, PITAR (p53 Inactivating TRIM28 associated RNA), as an inhibitor of p53. PITAR is an oncogenic Cancer/testis lncRNA and is highly expressed in glioblastoma (GBM) and glioma stem-like cells (GSC). We establish that TRIM28 mRNA, which encodes a p53-specific E3 ubiquitin ligase, is a direct target of PITAR. PITAR interaction with TRIM28 RNA stabilized TRIM28 mRNA, which resulted in increased TRIM28 protein levels and reduced p53 steady-state levels due to enhanced p53 ubiquitination. DNA damage activated PITAR, in addition to p53, in a p53-independent manner, thus creating an incoherent feedforward loop to inhibit the DNA damage response by p53. While PITAR silencing inhibited the growth of WT p53 containing GSCs in vitro and reduced glioma tumor growth in vivo, its overexpression enhanced the tumor growth in a TRIM28-dependent manner and promoted resistance to Temozolomide. Thus, we establish an alternate way of p53 inactivation by PITAR, which maintains low p53 levels in normal cells and attenuates the DNA damage response by p53. Finally, we propose PITAR as a potential GBM therapeutic target.

cancer biology↗

bioRxiv2022

A visual atlas of genes tissue-specific pathological roles

Dysregulation of a genes function, either due to mutations or impairments in regulatory networks, often triggers pathological states in the affected tissue. Comprehensive mapping of these apparent gene-pathology relationships is an ever daunting task, primarily due to genetic pleiotropy and lack of suitable computational approaches. With the advent of high throughput genomics platforms and community scale initiatives such as the Human Cell Landscape (HCL) project [1], researchers have been able to create gene expression portraits of healthy tissues resolved at the level of single cells. However, a similar wealth of knowledge is currently not at our finger-tip when it comes to diseases. This is because the genetic manifestation of a disease is often quite heterogeneous and is confounded by several clinical and demographic covariates. To circumvent this, we mined ~18 million PubMed abstracts published till May 2019 and selected ~6.1 million of them that describe the pathological role of genes in different diseases. Further, we employed a word embedding technique from the domain of Natural Language Processing (NLP) to learn vector representation of entities such as genes, diseases, tissues, etc., in a way such that their relationship is preserved in a vector space. Notably, Pathomap, by the virtue of its underpinning theory, also learns transitive relationships. Pathomap provided a vector representation of words indicating a possible association between DNMT3A/BCOR with CYLD cutaneous syndrome (CCS). The first manuscript reporting this finding was not part of our training data. Key pointsO_LIWe mined ~18 million PubMed abstracts to extract latent knowledge pertaining to tissue specific pathological roles of genes. C_LIO_LIWe found well-defined gene modules implicated in disease pathogenesis in anatomically proximal tissues. C_LIO_LIWe demonstrated an ahead of time discovery of the association between DNMT3A/BCOR with CYLD cutaneous syndrome (CCS), as a knowledge synthesis use-case. C_LI

bioinformatics↗