Biology subjects

Jain, M.

Publications and source records attributed to Jain, M..

At least 37 records · Page 2Linked to original sources

bioRxiv2026

Short-Term Variability Reveals Early Neural Mechanisms of Pain Chronification

Moment-to-moment fluctuations in perceived pain are often dismissed as noise. However, across neural systems, rapid variability reflects fundamental network properties such as stability and flexibility, and in pain, reduced variability has been linked to chronic pain severity. Here, we tested whether alterations in such variability mark an early mechanistic transition from subacute to chronic pain. Using a longitudinal dataset of 120 individuals with subacute back pain followed over one year, we analysed continuous pain ratings alongside fMRI activity during spontaneous pain. We show that patients who develop persistent pain exhibit a marked decrease in moment-to-moment pain variability over the course of one year, in contrast to recovering individuals whose variability increases over time. Neural activity in thalamo-cortico-limbic and modulatory circuits associated with these fluctuations at pain onset predicts clinical outcomes one year later. Notably, similar predictive patterns are observed during the early post-onset, indicating that these neural signatures emerge early and remain stable during the initial phase of disease progression. These findings indicate that early loss of dynamical flexibility is a hallmark of pain chronification and identify moment-to-moment variability as a clinically accessible marker of the systems dynamical state.

neuroscience↗

bioRxiv2026

A Multimodal Single-Cell Epigenomic and 3D Genome Atlas of the Human Basal Ganglia

The basal ganglia (BG) underlie motor control, reward processing, and many neurological and psychiatric disorders, but a comprehensive epigenomic and 3D-genome atlas of the human BG is lacking. Here we present a multimodal single-cell atlas profiling DNA methylation and 3D chromatin conformation in 261,331 nuclei (snm3C-seq) across eight subregions, resolving 12 classes, 31 subclasses, and 59 groups. Harmonized under the HMBA basal-ganglia consensus taxonomy, this atlas integrates with matched RNA, ATAC-seq, and histone-modification data across five regulatory layers. We identify millions of cell-type- and region-specific differentially methylated regions enriched for distinct transcription factor motifs and link them to disease-associated heritability. Neuron-specific loops dominate cell-type-specific 3D contact remodeling, while most non-neuron-specific loops are constitutive. Among spiny projection neurons (SPNs), chromatin loops, rather than TAD boundaries, distinguish D1, D2, and eccentric SPN subclasses, with eccentric SPNs showing the most loop-level reorganization among the three. We characterize STR D2 SMYD2-HTR7 SPN, a newly recognized POU6F2 D2-SPN subtype, and reveal region-specific methylation and contact gradients of disease-associated genes, including CADM1 and PDE8B. Integrative gene-regulatory networks reconstruct cell-type-resolved enhancer-promoter links to interpret Parkinsons disease risk variants at SNCA. Finally, MERFISH spatial profiling combined with cross-species Patch-seq identifies non-SPN neuronal subtypes, including a MOXD1 striosomal STR FS PTHLH-PVALB GABA subtype with distinct electrophysiology, partitioning across the striatal matrix-striosome boundary. HighlightsO_LIA multimodal single-cell atlas maps DNA methylation and 3D genome architecture across human basal ganglia cell types and subregions. C_LIO_LINeuron-specific loops dominate cell-type-specific 3D contact remodeling in the human BG, whereas most non-neuron-specific loops are constitutive. C_LIO_LISpiny Projection Neuron (SPN) subtypes exhibit regionally organized epigenomic and 3D genome signatures that align with dorsal-ventral identities. C_LIO_LIChromatin loops are the primary distinguishing feature among D1, D2, and eccentric SPN subclasses, with eccentric SPNs being the most 3D-reorganized. C_LIO_LIIntegrated regulatory maps link cell-type-specific enhancers to disease-associated genetic risk in the human basal ganglia. C_LIO_LINon-SPN interneurons differ in distribution and in transcriptional and epigenetic identity across the matrix-striosome boundary. C_LI

neuroscience↗

bioRxiv2026

Efficient In Vitro Regeneration from Cotyledon Nodes and In Planta Genetic Transformation in Elite Peanut Cultivars

Peanut (Arachis hypogaea L.), a vital oilseed and food legume, is cultivated across the globe. Genetic improvement via conventional breeding faces limitations from narrow diversity and reproductive barriers, underscoring the need for tissue culture-based regeneration and transformation platforms. This study optimizes an efficient, reproducible in vitro regeneration protocol using cotyledonary node explants from three Indian elite cultivars: GG-20, GJG-9, and TAG-37A. Explants from aseptically germinated seedlings were cultured on Murashige and Skoog (MS) medium with varying cytokinins (e.g., BAP 0-4 mg/L) and auxins (e.g., NAA 0.1-0.9mg/L), yielding direct multiple shoot induction without callus, minimizing somaclonal variation. Optimal shoot proliferation occurred on full-strength MS + 2 mg/L BAP for GG-20/GJG-9 (88.9% efficiency) and 4 mg/L BAP for TAG-37A ([~]89-100% efficiency); rooting peaked on half-MS + NAA (up to 88.9% in GG-20). Regenerated plants acclimatized successfully in greenhouse conditions. Additionally, a robust in planta Agrobacterium tumefaciens (EHA105, pGFPGUSPlus) transformation via plumular meristem pricking in GG-20 achieved 7.69% efficiency. Transgene integration was confirmed by GUS assay and PCR (GUS/hptII), with [~]64% soil establishment.

plant biology↗

bioRxiv2026

Structural basis for conserved and distinct antigen recognition by a lineage of malaria-protective antibodies

Monoclonal antibodies (mAbs) targeting the Plasmodium falciparum circumsporozoite protein (PfCSP) have demonstrated substantial promise in preventing malaria infection and disease. PfCSP is characterized by a central region composed of repetitive NANP motifs, which serve as major targets for protective antibodies. Several potent mAbs targeting this region exhibit homotypic Fab-Fab interactions, which enhance antigen binding and contribute to their neutralization potency. Among these, mAb 399, encoded by the IGHV3-49/IGKV2D-29 (VH3-49/VK2D-29) germline lineages, forms head-to-head inter-Fab contacts mediated primarily by germline-encoded residues. In this study, we determined high-resolution X-ray crystal and cryo-EM structures of two additional Fabs, derived from the same germline lineages, 7160 and 7118, in complex with PfCSP-derived peptides. Both Fabs bound the NANP6 repeats with high affinity (KD 5-10 nM). Fab 7160 formed similar inter-Fab homotypic interactions to Fab 399 upon binding to an extended repeat peptide (NANP), indicating a conserved mode of recognition. In contrast, Fab 7118, which features a longer CDRH3, does not form homotypic contacts. Instead, Fab 7118 induced a bend in the peptide and adopted a distinct binding mode, which prevents inter-Fab interactions. A cryo-EM structure of Fab 7118 in complex with a recombinant shortened PfCSP construct (rsCSP) further revealed potential disruptions at inter-Fab contact sites. These findings highlight the structural versatility of VH3-49/VK2D-29-derived antibodies and demonstrate that CDR loop variations within a shared antibody lineage can modulate antibody conformation, homotypic Fab-Fab interactions, and epitope engagement. Our study provides mechanistic insights into the diverse strategies by which CSP-specific antibodies can achieve high-avidity binding and protective immunity.

microbiology↗

bioRxiv2025

tRNA isodecoder analysis using Nanopore ionic current signals and deep learning

tRNA are short non-coding RNA characterized by their distinct tertiary structure and abundant chemical modifications. Conventional analysis strategies do not fully characterize tRNA isodecoders. We demonstrate that this limitation can be resolved for tRNA using nanopore ionic current data. We developed tRNAZAP, a deep learning strategy that uses nanopore ionic current signal information to classify native tRNA strands at isodecoder-level resolution without relying on sequence information. Additionally, the ionic current level classification allows for pairwise alignment of read sequences to reference sequences, producing optimal tRNA alignments. We applied tRNAZAP to direct tRNA sequencing data from Escherichia coli and Saccharomyces cerevisiae, and recovered 2.6% and 13.1% more aligned reads than BWA-MEM, respectively. tRNAZAP resolved these reads at an isodecoder-level and with consistently higher alignment identity. tRNAZAP is a powerful complement to sequence-based profiling and can contribute towards resolving the isodecoder landscape in more complex organisms including humans.

genomics↗

bioRxiv2025

Base editing and nanoparticle transfection of airway cell types essential for treatment of cystic fibrosis

Cystic Fibrosis (CF) is a life-limiting genetic disorder caused by deleterious variants in the CFTR gene that results in altered mucous impairing the airway epithelia. Durable correction of these variants in airway cells remain a therapeutic challenge for [~]10% of individuals unresponsive to CFTR modulators. A common disease-causing CFTR splice site variant was corrected in primary CF airway cells using base editor RNAs. Single-cell RNA sequencing revealed a remarkable increase in detectable CFTR transcript in most CF airway epithelial cell types with notable enrichment of CFTR-expressing ionocytes and secretory goblet cells. Progenitor basal cell subtypes were edited but they decreased as a fraction of total cells and CFTR expressing cells compared to unedited cells. CRISPR base editors delivered by polymeric nanoparticles (PNPs) facilitated functional rescue of CFTR to clinically meaningful levels in immortalized and primary airway cells. PNPs delivered reporter encoding RNA to progenitor airway cells in fully differentiated airway cultures. Vitronectin was a major component of the PNP corona that formed in vivo, but pre-incubation with vitronectin did not enhance delivery. Together, these findings validate a scalable, non-viral platform with significant translational promise for treating CF and other respiratory diseases involving respiratory epithelial cell dysfunction.

genetics↗

bioRxiv2025

Heat shock-mediated transformation in several Gram-negative bacteria such as Ralstonia pseudosolanacearum, Pseudomonas aeruginosa, Pseudomonas putida, and Enterobacter roggenkampii

Transformation of foreign DNA, subjecting Escherichia coli to CaCl2 treatment followed by heat shock exposure, is a regular approach in recombinant DNA technology. However, in spite of its large popularity in E. coli, heat shock transformation is rarely reported in other Gram-negative bacteria. Instead, techniques such as natural transformation, conjugation, or electroporation are used in those bacteria. In this study, we have successfully implemented the heat shock transformation in four different Gram-negative bacteria, such as Ralstonia pseudosolanacearum, Pseudomonas aeruginosa, Pseudomonas putida, and Enterobacter roggenkampii. The standard heat shock transformation procedure used for E. coli DH5 has been modified. The pDSK-GFPuv plasmid bearing the green fluorescence gene was directly transferred to Ralstonia pseudosolanacearum by heat shock at 50 {o}C for 60 seconds. For Pseudomonas aeruginosa, Pseudomonas putida, and Enterobacter roggenkampii, the cells were made competent using CaCl2, followed by performing transformation by heat shock at 50 {o}C for 180 seconds. The transformants were resistant to kanamycin as well as exhibited fluorescence. These transformants were used to study the colonization pattern of tomato seedlings. Our study suggested that the heat shock transformation method can also be performed to introduce genes in other Gram-negative bacteria, other than E. coli.

microbiology↗

bioRxiv2025

Proteolytic Processing of the Unique F1-ATPase Subunit α in Procyclic Trypanosoma brucei

The catalytic F1 domain of the mitochondrial ATP synthase is conserved across eukaryotes, with the only known exceptions found within euglenozoans. One distinctive trait identified in Trypanosoma brucei is the proteolysis of subunit that excises an internal octapeptide, resulting in functional N- and C-terminal polypeptides. The significance of this cleavage remained unclear. Here, we determined that the yeast subunit expressed in T. brucei was not proteolytically processed, despite significant structural similarities. The proteolytic recognition sequence was identified to be largely contained within the octapeptide and replacing it with a flexible linker rendered the protein resistant to cleavage. This uncleaved subunit restored growth after RNAi depletion of endogenous subunit by incorporating into F1Fo-ATP synthase complexes capable of both ATP synthesis and hydrolysis. A FRET-based assay revealed that peptides consisting of either the first or second octapeptide cleavage site experienced significantly more proteolysis when incubated with cytosolic lysates compared to mitochondrial extracts. Furthermore, expressing just the mature C-terminal polypeptide resulted in mitochondrial localization, suggesting it contains an internal targeting signal. Together, these results indicate that proteolysis of subunit occurs in the cytosol prior to mitochondrial import, highlighting a unique processing step in T. brucei ATP synthase assembly.

cell biology↗

bioRxiv2025

MCUR1-CCDC90B complex is a conserved regulator of metabolic homeostasis

The mitochondrial calcium uniporter regulator 1 (MCUR1) is an evolutionarily conserved protein of the inner mitochondrial membrane1, yet its physiological role has remained elusive. Although initially proposed to function as a subunit of the mitochondrial calcium uniporter complex (MCUC)2-4, emerging evidence suggests that MCUR1 has a broader functional spectrum5-7. Here, we identify a biallelic loss-of-function MCUR1 variant (c.802C>T; p.R268X) in a patient with a progressive neurological phenotype. This mutation leads to loss of MCUR1 protein and exerts a dominant-negative effect on its paralog, CCDC90B. We show that MCUR1 and CCDC90B form a hetero-oligomeric complex whose stability depends on MCUR1. Deletion of MCUR1 and CCDC90B in the fission yeast Schizosaccharomyces pombe, which lacks the MCUC, impairs lipid and amino acid metabolism and causes nitrogen source-dependent growth defects that are rescued by expression of human MCUR1. Patient serum metabolomics confirms an imbalance in the amino acid pool, while MCUR1 deficiency in patient-derived skin fibroblasts upregulates autophagy, perturbs non-essential amino acid metabolism, and limits biosynthetic capacity, resulting in delayed proliferation and migration. These findings redefine the MCUR1-CCDC90B coiled-coil complex as a transmembrane scaffold critical for the integrity of mitochondrial protein complexes and the maintenance of metabolic homeostasis, suggesting a potential link between MCUR1 deficiency and human neurometabolic disease.

cell biology↗

bioRxiv2025

Mapping the evolution of computationally designed protein binders

Computational protein design enables the generation of binders that target specific epitopes on proteins. However, current approaches often require substantial screening from which hits require further affinity maturation. Methods for experimentally improving designed proteins and exploring their sequence-affinity landscapes could therefore streamline the development of high-affinity binders and inform future design strategies. Here, we use OrthoRep, a system for continuous hypermutation in vivo, to drive the evolution of computationally designed mini protein binders ("minibinders") that target a mammalian receptor. Despite their small sizes (59-72 amino acids), we successfully affinity matured multiple minibinders through strong selection for improved binding and also sampled new regions of minibinder fitness landscapes through extensive neutral drift. One evolved minibinder variant was used to construct a combinatorially complete sequence-affinity map for its six affinity increasing mutations, which revealed nearly full additivity in their contributions to binding. Another minibinder was subjected to both deep mutational scanning and extensive evolution under weak selection, resulting in an evolutionarily diverged collection of binder sequences that revealed non-additive relationships among mutations. Our results highlight that the affinity of computationally designed binders can be rapidly increased through evolution and provide a scalable approach for the evolutionary exploration and subsequent mapping of sequence-affinity landscapes. We suggest that this work will complement protein binder design both as a reliable experimental optimization process and as a vehicle for generating new training data.

synthetic biology↗

bioRxiv2025

Long-Read epigenetic clocks identify improved brain aging predictions

Epigenetic clocks are widely used to estimate biological aging, yet most are built from array-based data from peripheral tissues of predominantly European-ancestry individuals, limiting their generalizability. Here, we present aging clocks on DNA methylation from Oxford Nanopore long-read sequencing (LRS), leveraging over 28 million CpG sites from prefrontal cortex samples across individuals of African and European ancestry. These models were developed using GenoML, an automated machine learning platform for multi-omics data that leverages a diverse catalog of existing model architectures. Our long-read-informed clocks were developed using promoter-based and whole-genome window-based features, yielding models for each individual cohort as well as a combined-cohort clock. Each of these models demonstrated favorable performance compared to existing methylation clocks and was externally validated in a cohort of Colombian individuals. We further performed enrichment analyses and nominated both shared and cohort-specific pathways, cell types, and transcription factor binding motifs which may be implicated in aging and were not fully explained by cell type proportions or postmortem interval. Altogether, our findings highlight the power of long-read methylation data for constructing accurate, ancestry-aware aging clocks and emphasize the importance of inclusive training datasets.

bioinformatics↗

bioRxiv2025

Brain Region-Specific Epigenomic Reorganization and Altered Cell States in Alzheimer's Disease

Alzheimers disease (AD) is the most common neurodegenerative disorder, yet the molecular mechanisms underlying its region- and cell-type-specific pathogenesis remain poorly defined. Here, we generated a large-scale, single-cell multi-omic atlas--integrating DNA methylation and 3D genome architecture--from postmortem brain tissue of matched AD patients and cognitively normal controls. Samples were collected from three brain regions with distinct vulnerability to AD pathology: the temporal cortex (TC), primary visual cortex (VC), and prefrontal cortex (PFC). Our dataset comprises over 230,000 individual cells, spanning major neuronal and glial populations, and provides a high-resolution view of multi-layer epigenomic regulation. We identified widespread AD-associated DNA methylation changes and marked reorganization of 3D genome structure, including alterations in A/B compartments, topologically associating domains (TADs), and chromatin loops. These changes are strongly region-specific: TC displays pronounced hypermethylation, transcriptional downregulation, and elevated boundary density, whereas VC shows opposing trends and PFC an intermediate profile. We further uncovered previously unrecognized AD-associated glial and neuronal states defined by coordinated epigenomic dysregulation and recurrent genomic deletions, particularly near telomeric regions. This region-resolved, single-cell multi-omic atlas reveals divergent epigenomic trajectories across brain regions and cell types in AD, offering new mechanistic insights and a framework for targeted therapeutic strategies.

genomics↗

bioRxiv2025

Cytoplasmic localization of PUS7 facilitates a pseudouridine-dependent enhancement of cellular stress tolerance

Pseudouridine ({Psi}) is an abundant post-transcriptional modification found across all classes of RNA. It has been widely speculated that {Psi} inclusion in mRNAs might provide an avenue for cells to control gene expression post-transcriptionally. Here we demonstrate that one of the principal mRNA pseudouridylating enzymes, pseudouridine synthase 7 (PUS7), exhibits a stress-induced accumulation in the cytoplasm of yeast and human epithelial lung cells. Stress-induced and cytoplasmic localization of PUS7 promote {Psi}-incorporation into hundreds of mRNA targets. Furthermore, engineered PUS7 cytoplasmic localization increases cellular fitness under ROS and divalent metal ion stress. Consistent with this, transcripts modified upon PUS7 cytoplasmic localization are enriched within mRNAs encoding proteins involved in divalent metal metabolism and ROS stress pathways. In contrast, tRNA sites modified by PUS7 ({Psi}13 and {Psi}35 are unperturbed). Quantitative proteomics reveal a reshaping of the proteome upon PUS7 relocalization under stress, with proteins involved in metal and ROS homeostasis being particularly sensitive to PUS7 localization. Collectively, our data demonstrate that PUS7 localization alters mRNA pseudouridylation patterns to modulate protein production and enhance cellular fitness.

biochemistry↗

bioRxiv2025

Structural Hijacking of FcRn by Human Astrovirus Spikes Reveals Conserved Epitopes for Broad-Spectrum Antivirals

Human astroviruses (HAstVs) are a leading cause of pediatric gastroenteritis and emerging systemic infections, yet no targeted therapies exist. A critical barrier to intervention has been the lack of molecular insights into viral entry, particularly the interaction between the HAstV capsid spike and its receptor, the neonatal Fc receptor (FcRn). Here, we report high-resolution crystal structures of the HAstV spike from classical serotypes 2 and 6 in complex with human FcRn, defining the conserved receptor-binding interface at atomic resolution. These structures reveal serotype-specific variations dictating receptor affinity and that reported neutralizing antibodies inhibit infection primarily by sterically blocking the receptor-binding site. Mapping conserved epitopes across classical HAstV serotypes provides a blueprint for design of broad-spectrum antivirals that disrupt viral entry. Notably, our structural data rationalize the potential repurposing of clinical FcRn inhibitors, such as Nipocalimab, to block HAstV infection, bridging critical gaps in astrovirus biology and antiviral development.

biophysics↗

bioRxiv2025

Structural characterization of MAM01 and other cost-effective engineered monoclonal antibodies for malaria prevention

Long-lasting and effective vaccines or monoclonal antibodies (mAbs) for malaria prevention are highly beneficial for people of all ages living in malaria-endemic regions. Recently, two highly protective human mAbs AB000224 (IGHV3-49/IGLV1-40) and AB007088 (IGHV3-33/IGKV1-5), which are encoded by different germline genes, were re-engineered and renamed as MAM01 and MS-1805, respectively, to improve their half-life, developability (including manufacturing), and cost-effectiveness according to WHO guidelines. MAM01 has completed phase 1 and 1b clinical trials (safety / PK / challenge) in US healthy naive adults and is in phase 1 trials (age-de-escalation studies) in Uganda. Here, we determined crystal structures of the antigen-binding fragments (Fabs) of engineered MAM01, MS-1805, and 7088 in complex with different regions of the Plasmodium falciparum (Pf) circumsporozoite protein (CSP), including junctional, minor, and major repeat regions. Notably, Fab 7088 features an extended CDRL3 comprising 10 amino acids (CDRL3:10) instead of the typical 8 amino acid CDRL3 (CDRL3:8) for VH3-33/VK1-5-encoded mAbs, revealing unique folding within its germline context. Structural comparisons showed that engineered antibodies retain the key molecular and hydrogen bond interactions with no significant conformational changes or loss in binding affinity. These findings demonstrate that the efficacy and affordability of human mAbs can be enhanced by selectively mutating residues in antibody framework regions without compromising binding affinity or epitope interaction.

biophysics↗

bioRxiv2025

Pseudomonas aeruginosa SPT08, a tomato endophyte, improves plant growth and controls bacterial wilt in tomato

Endophytes are a class of non-pathogenic microorganisms that reside within a plant and contribute to their health. Here, we isolated several endophytes from cotyledon-stage tomato seedlings that inhibited the growth of Ralstonia pseudosolanacearum, the bacterial wilt pathogen of tomato. One such endophyte, Pseudomonas aeruginosa SPT08, protected tomato seedlings as well as grown-up plants from the wilt disease. SPT08 also improved the tomato plant height by 20% and root growth by 60% in weight. SPT08 colonization inside tomato seedlings as well as in grown-up plants was studied using green fluorescent protein to demonstrate its endophytic behavior. SPT08 exhibited twitching and swimming motility and produced extracellular enzymes such as pectinase, protease, and amylase. SPT08 tested positive for several plant growth-promoting features such as phosphate solubilization, production of siderophore, plant hormone auxin, hydrogen cyanide, and ammonia. These features were further corroborated with SPT08 whole genome sequence. SPT08 genome is 6265489 bp, with 66.59% G+C and 5786 coding genes, including type II, III, and VI protein secretion systems. The antiSMASH tool identified potential for several secondary metabolites, including antibiotics, in SPT08. This study underscores the utility of P. aeruginosa SPT08 bio-protection from bacterial wilt and growth promotion agent in tomato. HighlightsPseudomonas aeruginosa SPT08, an endophyte isolated from tomato seedlings that inhibits bacterial wilt pathogen R. pseudosolanacearum, can control bacterial wilt in tomato plants and enhance the height and root growth.

plant biology↗

bioRxiv2025

Rapid Liquid Chromatography-Mass Spectrometry (rLC-MS) for Deep Metabolomics Analysis of Population Scale Studies

Mass spectrometry (MS)-based metabolomics is a key technology for the interrogation of exogenous and endogenous small molecule mediators that influence human health and disease. To date, however, low throughput of MS systems have largely precluded large-scale metabolomics studies of human populations, limiting power to discover physiological roles of metabolites. Here, we introduce a fully automated rapid liquid chromatography-mass spectrometry (rLC-MS) system coupled to an AI-enabled computational pipeline that enables high-throughput, reproducible, non-targeted metabolite measurements across tens of thousands of samples. This system captures thousands of polar, amphipathic and nonpolar (lipid) metabolites in a human plasma sample in 53 seconds of analytical time, enabling analysis of greater than 1,000 samples per day per instrument. To demonstrate the discovery power of the rLC-MS platform, a subset of samples from Sapients DynamiQ biorepository - comprised of 62,039 total plasma samples collected longitudinally from 11,045 individuals - were selected for deep analysis by rLC-MS to capture a rich, dynamic landscape of chemical variation that reflects both physiological processes and environmental influences. 26,042 plasma samples with matched real-world data (RWD) were chosen for the study, representing 6,935 individuals with diverse demographic backgrounds and disease profiles. Unbiased exploratory analysis revealed human metabotypes that correlate with heterogenous disease phenotypes, including key sub-populations of cardiometabolic and other human diseases. Moreover, a metabolic aging clock machine learning model trained on healthy individuals in this dataset accurately predicted accelerated aging in various chronic diseases, with dynamic reversal of metabolic aging following definitive therapy. These data demonstrate that the rLC-MS platform enables prediction of clinically relevant physiological states from plasma metabolomics at scale in human populations.

biochemistry↗

bioRxiv2025

What's next for Indian Ornithology? 101 key research questions

India has a rich history of ornithology, and bird research in this field has expanded considerably in recent decades, spurred by a growing number of birdwatchers and ornithologists. Despite this progress, critical gaps remain. This paper highlights key areas where further research is needed and identifies pressing questions that will shape Indian ornithology in the coming years. Drawing from diverse inputs, we present a curated list of 101 research questions spanning across the various disciplines in ornithology - Natural History, Physiology and Disease Ecology, Behaviour, Population and Community Ecology, Habitat Ecology, Macroecology and Biogeography, Population Genetics and Evolution, Applied/Economic Ornithology and Conservation. The list was compiled through a multi-stage process, starting with a public open call for questions, followed by review and curation by a smaller panel of subject specialists. Each question was independently scored by a panel of experts based on three criteria: generality, novelty, and relevance. To account for variation in scoring styles, scores were normalised using Z-scores. The top 101 research questions were then selected based on these standardised scores. Each question is accompanied by an annotation that describes the significance of the question, and highlights opportunities to address it. While our list of research questions highlights significant research priorities, it is not intended to be exhaustive. Rather, it reflects the perspectives of those involved in its curation, who deemed these questions particularly relevant and impactful towards advancing Indian ornithology. We expect these questions to spark new project ideas among students, researchers, and citizen scientists, while guiding funders, managers, and policymakers toward priority research areas.

ecology↗