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Tandon, P.

Publications and source records attributed to Tandon, P..

8 recordsLinked to original sources

A conserved Foxp1-Pde4d axis regulates inflammatory responsiveness

Inflammatory responses are heterogeneous, even among cells exposed to a common insult, yet the regulatory mechanisms that distinguish these inflammatory states remain poorly understood. Here, we leveraged inflammatory state heterogeneity to identify a conserved Foxp1-Pde4d regulatory relationship and uncover a role for this axis in preserving inflammatory responsiveness. Genotoxic stress in adipocyte progenitors generated heterogeneous engagement of type-I interferon (IFN) and NF{kappa}B transcriptional programmes, and transcriptome-wide analysis independently identified Foxp1 and the cAMP phosphodiesterase Pde4d among genes associated with lower IFN- and higher NF{kappa}B-associated transcription. ChIP-seq revealed selective loss of Foxp1 occupancy at a Pde4d-associated regulatory element following genotoxic stress, while Foxp1 gain- and loss-of-function established Foxp1 as a positive regulator of Pde4d expression. Remarkably, coupling of Foxp1-Pde4d expression was broadly conserved across vertebrate tissues and damage models. In vivo, Foxp1 loss in zebrafish revealed a striking dissociation between inflammatory state and response capacity: basal NF{kappa}B activity was elevated, yet injury-induced NF{kappa}B activation was markedly blunted and macrophage recruitment impaired. Adenylyl cyclase inhibition restored macrophage recruitment in Foxp1-deficient zebrafish, functionally linking the Foxp1 phenotype to cAMP signalling and supporting a model in which Foxp1-Pde4d regulation preserves inflammatory responsiveness through control of cAMP. Together, these findings show how inflammatory-state heterogeneity can reveal conserved regulatory mechanisms linking basal cellular state to subsequent response capacity.

cell biology↗

In vivo CRISPR screening identifies regulators of hyperplastic and hypertrophic adipose remodelling in zebrafish

Adipose tissues exhibit a remarkable capacity to expand, regress, and remodel in response to energy status. The cellular mechanisms underlying adipose remodelling are central to metabolic health. Hypertrophic remodelling - characterised by the enlargement of existing adipocytes - is associated with insulin resistance, type 2 diabetes, and cardiovascular disease. In contrast, hyperplastic remodelling - in which new adipocytes are generated - is linked to improved metabolic outcomes. Despite its clinical importance, the regulation of hypertrophic and hyperplastic adipose morphology remains poorly understood. Here, we integrate human transcriptomic data with a quantitative CRISPR-imaging platform in zebrafish to identify regulators of adipose morphology. We developed an image-based phenotyping pipeline that captures lipid droplet size, number, and spatial patterning, and applied generalised additive modelling to quantify hyperplastic versus hypertrophic morphology signatures. Using this platform, we conducted an F0 CRISPR screen targeting 25 candidate genes and identified three that induced hypertrophic morphology (txnipa, mmp14b and foxp1b) and an additional candidate that altered total adiposity (kazna). For functional validation, we generated stable loss-of-function alleles for both zebrafish foxp1 paralogues. Spatial analysis along the anterior-posterior axis revealed that foxp1b mutants display developmental hypertrophy but profoundly blunted adaptive responses to high-fat diet ([~]68% reduction across all spatial zones), while foxp1a mutants show normal baseline morphology but disrupted spatial patterning of diet-induced hypertrophy. Together, these findings establish a scalable CRISPR-imaging platform for in vivo genetic screening of adipose morphology, and reveal distinct roles for Foxp1 paralogues in developmental patterning and adaptive responses to dietary challenge in adipose tissue.

developmental biology↗

Human genetic studies and zebrafish models identify Plxna4 as a regulator of adiposity, somatic growth, and feeding behaviours

Obesity is a major public health crisis, affecting billions worldwide and increasing the risk of metabolic and cardiovascular diseases. While lifestyle factors play a role, genetic variation is a key determinant of both obesity susceptibility and the efficacy of treatment strategies. Recent studies have implicated the Semaphorin 3 signalling pathway in obesity; however, specific roles for pathway components remain largely unexplored. Here, we focus on Class A Plexins and their potential contributions to body weight regulation. Using large-scale genetic association data, we identified that rare, predicted loss-of-function mutations in PLXNA4 were associated with body mass index (BMI) in females. Furthermore, common variant analysis revealed that genetic variation at PLXNA4 was linked to BMI, height, and various neuropsychiatric disorders. To investigate the biological role of Plxna4, we generated zebrafish plxna4 loss-of-function mutants, which exhibited an 85-92% reduction in Plxna4 protein. Despite appearing morphologically normal, mutant zebrafish at juvenile stages were shorter, had increased body fat levels relative to size-matched wild-type siblings, and displayed hypertrophic subcutaneous adipose tissue. Feeding assays revealed that plxna4 mutants consumed more food than wild-type siblings and exhibited food-stimulated hyperactivity, characterised by increased swimming speed, higher speed variability, and frequent high-speed bursts. Together, these findings demonstrate a conserved role for Plxna4 in regulating feeding behaviour and body fat levels, providing new insights into the genetic basis of obesity and warranting further studies to elucidate the molecular mechanisms underlying these effects.

developmental biology↗

Loss of Mfn1 but not Mfn2 enhances adipogenesis

ObjectiveA biallelic missense mutation in mitofusin 2 (MFN2) causes multiple symmetric lipomatosis and partial lipodystrophy, implicating disruption of mitochondrial fusion or interaction with other organelles in adipocyte differentiation, growth and/or survival. In this study, we aimed to document the impact of loss of mitofusin 1 (Mfn1) or 2 (Mfn2) on adipogenesis in cultured cells. MethodsWe characterised adipocyte differentiation of wildtype (WT), Mfn1-/- and Mfn2-/- mouse embryonic fibroblasts (MEFs) and 3T3-L1 preadipocytes in which Mfn1 or 2 levels were reduced using siRNA. ResultsMfn1-/- MEFs displayed striking fragmentation of the mitochondrial network, with surprisingly enhanced propensity to differentiate into adipocytes, as assessed by lipid accumulation, expression of adipocyte markers (Plin1, Fabp4, Glut4, Adipoq), and insulin-stimulated glucose uptake. RNA sequencing revealed a corresponding pro-adipogenic transcriptional profile including Pparg upregulation. Mfn2-/- MEFs also had a disrupted mitochondrial morphology, but in contrast to Mfn1-/- MEFs they showed reduced expression of adipocyte markers and no increase in insulin-stimulated glucose uptake. Mfn1 and Mfn2 siRNA mediated knockdown studies in 3T3-L1 adipocytes generally replicated these findings. ConclusionsLoss of Mfn1 but not Mfn2 in cultured pre-adipocyte models is pro-adipogenic. This suggests distinct, non-redundant roles for the two mitofusin orthologues in adipocyte differentiation.

cell biology↗

Precise control of neural activity using temporally dithered and spatially multiplexed electrical stimulation

Neural implants have the potential to restore lost sensory function by electrically evoking the complex naturalistic activity patterns of neural populations. However, it can be difficult to predict and control evoked neural responses to simultaneous multi-electrode stimulation due to nonlinearity of the responses. We present a solution to this problem and demonstrate its utility in the context of a bi-directional retinal implant for restoring vision. A dynamically optimized stimulation approach encodes incoming visual stimuli into a rapid, greedily chosen, temporally dithered and spatially multiplexed sequence of simple stimulation patterns. Stimuli are selected to optimize the reconstruction of the visual stimulus from the evoked responses. Temporal dithering exploits the slow time scales of downstream neural processing, and spatial multiplexing exploits the independence of responses generated by distant electrodes. The approach was evaluated using an experimental laboratory prototype of a retinal implant: large-scale, high-resolution multi-electrode stimulation and recording of macaque and rat retinal ganglion cells ex vivo. The dynamically optimized stimulation approach substantially enhanced performance compared to existing approaches based on static mapping between visual stimulus intensity and current amplitude. The modular framework enabled parallel extensions to naturalistic viewing conditions, incorporation of perceptual similarity measures, and efficient implementation for an implantable device. A direct closed-loop test of the approach supported its potential use in vision restoration. Impact StatementA novel method of electrical stimulation to precisely control neural activity for sensory restoration exhibits improvements in visual stimulus reconstruction, enables efficient hardware design, and extends to naturalistic conditions.

neuroscience↗

Automatic Identification and Avoidance of Axon Bundle Activation for Epiretinal Prosthesis

Retinal prostheses must be able to activate cells in a selective way in order to restore high-fidelity vision. However, inadvertent activation of far-away retinal ganglion cells (RGCs) through electrical stimulation of axon bundles can produce irregular and poorly controlled percepts, limiting artificial vision. Therefore, the problem of axon bundle activation can be defined as the axonal stimulation of RGCs with unknown soma and receptive field locations, typically outside the electrode array. Here, a new algorithm is presented that utilizes electrical recordings to determine the stimulation current amplitudes above which bundle activation occurs. The method exploits several spatiotemporal characteristics of electrically-evoked spikes to overcome the challenge of detecting small axonal spikes in extracellular recordings. The algorithm was validated using large-scale ex vivo stimulation and recording experiments in macaque retina, by comparing algorithmically and manually identified bundle activation thresholds. The algorithm could be used in a closed-loop manner by a future epiretinal prosthesis to reduce poorly controlled visual percepts associated with bundle activation. The method may also be applicable to other types of retinal implants and to cortical implants. ContributionsPT developed the algorithm and analyzed the data, with input from SMi and EJC. NB and NS helped with the analysis. SMa and LG performed dissections and collected the data. PT and VFH performed manual identification. PH, AS and AML developed and supported recording hardware and software. PT, EJC and SMi wrote the manuscript. NS and SMa edited it. EJC and SMi supervised the project.

bioengineering↗

The Complete Chloroplast Genome of Dendrobium nobile, an endangered medicinal orchid from Northeast India and its comparison with related chloroplast genomes of Dendrobium species.

The medicinal orchid genus Dendrobium belonging to the Orchidaceae family is the largest genus comprising about 800-1500 species. To better illustrate the species status in the genus Dendrobium, a comparative analysis of 33 newly sequenced chloroplast genomes retrieved from NCBI Refseq database was compared with that of the first complete chloroplast genome of D. nobile from north-east India based on next-generation sequencing methods (Illumina HiSeq 2500-PE150). Our results provide comparative chloroplast genomic information for taxonomical identification, alignment-free phylogenomic inference and other statistical features of Dendrobium plastomes, which can also provide valuable information on their mutational events and sequence divergence.

evolutionary biology↗

Paternally inherited noncoding structural variants contribute to autism

The genetic architecture of autism spectrum disorder (ASD) is known to consist of contributions from gene-disrupting de novo mutations and common variants of modest effect. We hypothesize that the unexplained heritability of ASD also includes rare inherited variants with intermediate effects. We investigated the genome-wide distribution and functional impact of structural variants (SVs) through whole genome analysis ([≥]30X coverage) of 3,169 subjects from 829 families affected by ASD. Genes that are intolerant to inactivating variants in the exome aggregation consortium (ExAC) were depleted for SVs in parents, specifically within fetal-brain promoters, UTRs and exons. Rare paternally-inherited SVs that disrupt promoters or UTRs were over-transmitted to probands (P = 0.0013) and not to their typically-developing siblings. Recurrent functional noncoding deletions implicate the gene LEO1 in ASD. Protein-coding SVs were also associated with ASD (P = 0.0025). Our results establish that rare inherited SVs predispose children to ASD, with differing contributions from each parent.

genomics↗