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Bhattacharyya, S.

Publications and source records attributed to Bhattacharyya, S..

At least 37 records · Page 2Linked to original sources

Comparative evaluation on the fermentative potential of single and assorted fruit and vegetable waste for production of bioethanol

Fruit and vegetable waste (FVW) constitute a large part of municipal solid waste (MSW) and create significant environmental challenges by emitting the greenhouse gas methane. In contrast, these are a big source of fermentable sugar to produce bioenergy. Therefore, in this study, the Scanning Electron Microscopy (SEM), Attenuated total reflectance-fourier-transform infrared spectroscopy (ATR-FTIR), thermogravimetric analysis (TGA), X-ray diffraction (XRD), and biochemical quantification of -cellulose and acid-insoluble lignin contents were carried out to compare fermentative potential between single (potato peel vs. orange peel) and assorted vegetable and fruit wastes. Collectively, the study indicates that assorted vegetable waste holds enormous biofuel potential by having low moisture content (6.78 %), moderately low decomposition temperature (Tmax: 299.36 {degrees}C), low crystallinity index (CrI: 19.12%), and high -cellulose contents (32.35 - 47.73 gm%) yielding high sugar (325.65 mg/g). The study also optimized several key fermentation parameters such as pH, sugar concentration and the time to produce bioethanol. It was observed that maximum production of ethanol (2.14%) was achieved at 28{degrees}C, at pH 6.3 with a higher initial sugar concentration of 200mg/g by using Saccharomyces cerevisiae strain NCIM 3594. This study supports the likely utility of unsorted vegetable waste to obtain bioethanol at a mass scale.

plant biology↗

Developing in vitro patient derived CERvical Cancer OrganoidS (CERCOS) as a potential preclinical tool in cervical cancer research

Advanced cervical cancer remains a major cause of mortality in women worldwide as it has limited treatment options and recurrence is very common. This highlights the necessity to develop patient derived organoids (PDOs) as preclinical models, that can recapitulate the clinical heterogeneity of the cancer in terms of molecular features, and genetic background. The PDOs have potential for guiding personalized treatment in clinical practice. In this study, we have established patient-derived cervical cancer organoids or CERvical Cancer OrganoidS (CERCOS) from biopsy samples of five patients having two different subtypes (squamous cell carcinoma and adenocarcinoma) using a modified protocol. The CERCOS were characterized to assess their genetic and phenotypic similarity with the parent tissue. The organoids developed in vitro showed preservation of the histopathological and somatic mutational profile of the parent tissue. Expression of cervical cancer-related genes, including PIK3CA, MET, and LRP1B, was found to be comparable between the organoids and the parent tissue. Moreover, characterization of the PDOs post cryopreservation showed the maintenance of the morphological and histopathological features of the parent tissue. This study demonstrates that the CERvical Cancer OrganoidS (CERCOS), established using the current protocol, preserves genetic and phenotypic similarity and can serve as a platform for precision medicine and biobanking purposes.

cancer biology↗

DJ-1 deficiency and aging: dual drivers of retinal mitochondrial dysfunction.

We have previously extensively characterized the role of DJ-1 in oxidative stress regulation in the retina and RPE during aging. However, the DJ-1 protein also plays a role in regulating mitochondrias response to oxidative stress by translocating to the mitochondria where it helps clear generated reactive oxygen species (ROS). To study the effects of aging and oxidative stress in the retina, the DJ-1 KO mouse was analyzed. Freshly dissected ex vivo retinal punches were analyzed for real-time live cell metabolism. Total DNA and protein were isolated from RPE, and retina of 3- and 15-month-old DJ-1 WT and DJ-1 KO mice. The mitochondrial DNA (mtDNA) genome was divided into four discrete regions (RI-RIV), and lesions/10kb were quantified using long-extension PCR. mtDNA content was analyzed using RT-qPCR. Protein levels of OXPHOS complexes, POLG, OGG1, SOD2, and PGC1 were measured by western blotting. Seahorse analysis detected significantly decreased basal and maximal OCR in 3- and 15-month-old DJ-1 KO compared to age-matched DJ-1 WT. In the RPE, a significant decrease in the protein levels of the NDUFB8 subunit of CI, the SDHB subunit of CII, and MTCO1 of CIV in 15-month-old DJ-1 KO mice compared to 15-month-old DJ-1 WT, while the ATP5A subunit of CV was significantly decreased in 3-month-old DJ-1 KO mice compared to 3-month-old DJ-1 WT. In the retina, significantly decreased levels of NDUFB8 subunit of CI and MTCO1 of CIV were detected in the in 3-month-old DJ-1 KO mice compared to 3-month-old DJ-1 WT. We observed a significant increase in mtDNA gene content in 15-month-old DJ-1 KO RPE and retina compared to age-matched DJ-1 WT. The PGC1 levels significantly decreased in 3- and 15-month-old RPE lysates compared to their age group DJ-1 WT. However, in the retina, there was only a decrease in DJ-1 WT with aging. The POLG levels increased when 15-month-old DJ-1 KO lysates were compared to 15-month-old DJ-1 WT. The mtDNA lesions in the RPE detected a trend of increase in 15-month-old DJ-1 WT and DJ-1 KO RPE in all regions compared to 3-month-old mice. In the retina, a significant increase in mtDNA lesions/10kb accumulation in the 15-month-old DJ-1 WT RIV was detected compared to 3-month-old DJ-1 WT. The OGG1 levels significantly increased in 3-month-old retinal lysates compared to the 3-month-old DJ-1 WT. Our findings suggest that DJ-1 is critical for mitochondrial regulation and function in RPE and retina. The observed changes reflect mitochondrial dysfunction related to absence of DJ-1.

neuroscience↗

Loss-of-function of the drought-induced genes GASA3 and AFP1 confers enhanced drought tolerance in Arabidopsis thaliana

Prolonged drought is a major challenge in plant growth, severely affecting development and yield. Enhancing drought tolerance is thus a highly desired goal for agriculture. Here, we report that the loss-of-function of two drought-induced genes, GASA3 and AFP1, significantly enhances drought tolerance in Arabidopsis thaliana. While constitutive expression of GASA3 and AFP1 increased drought sensitivity compared to wild type (WT) plants, a gasa3afp1 double mutant exhibited superior drought tolerance compared to the single mutants. Enhanced drought tolerance of gasa3, afp1 and gasa3afp1 is likely due to reduced water loss caused by smaller stomatal apertures and thus lower transpiration rates. Moreover, gasa3 and afp1 mutants accumulated higher levels of abscisic acid (ABA) under drought conditions than WT plants, concomitant with a stronger up-regulation of ABA-responsive genes such as RD29A/B, ABF2/3, and ABI5. The stronger ABA increase in the mutants seems to result from hydrolysis of abscisic acid-glucosyl ester (ABA-GE) from vacuolar stores via the {beta}-glucosidase BG2 rather than by de-novo biosynthesis. Promoter analysis revealed the presence of ABA-responsive and drought stress-related cis-acting elements within the GASA3 and AFP1 promoter regions. RT-qPCR confirmed that the expression of both genes increased under drought. However, GASA3 induction was significantly reduced in the absence of AFP1, suggesting that AFP1 is involved in the modulation of GASA3 expression. Our findings identify a novel AFP1/GASA3-driven control circuit that negatively regulates drought tolerance by suppressing stomatal closure and attenuating ABA signalling.

plant biology↗

DiffHiChIP: Identifying differential chromatin contacts from HiChIP data

High-resolution conformation capture assays such as HiChIP are commonly used for profiling chromatin loops among cis-regulatory elements including enhancers and promoters. Detection of differential loops between two conditions (e.g., same cell type different genotypes or before/after perturbations) help contextualize condition-specific activities of genes in connection with such cis-regulatory elements. Existing differential loop callers for HiChIP data employ count-based models that are designed with gene expression data in mind and, hence, do not account for the distance decay of contact counts from HiChIP data. These approaches are not ideal for detection of differential long-range (>400Kb) loops, a limitation that persists even with the use of implicit or explicit corrections for this distance effect. We have implemented DiffHiChIP, the first comprehensive framework to call differential loops from HiChIP and similar 3C protocols. DiffHiChIP supports both DESeq2 and edgeR using either complete contact map or a subset of contacts (filtered) for background estimation, incorporates edgeR with generalized linear model (GLM) using either quasi-likelihood F-test or likelihood ratio test, and implements independent hypothesis weighting (IHW) as well as a distance stratification technique for modeling distance decay of contacts in estimating their statistical significance. Our results on 5 different datasets, each with two conditions or cell types, suggest that edgeR GLM-based models with IHW correction capture differential interactions, including long-range, that are supported by published Hi-C data and reference studies. Given the increasing trend of generating and utilizing HiChIP data for modeling chromatin regulation, DiffHiChIP promises to have broad impact and utility in this field.

bioinformatics↗

Association of Bile Acids with Connectivity of Executive Control and Default Mode Networks in Patients with Major Depression

Objective: Bile acids may contribute to pathophysiologic markers of Alzheimers disease, including disruptions of the executive control network (ECN) and the default mode network (DMN). Cognitive dysfunction is common in major depressive disorder (MDD), but whether bile acids impact these networks in MDD patients is unknown. Methods: Resting state functional magnetic resonance imaging (fMRI) scans and blood measures of four bile acids from 74 treatment-naive adults with MDD were analyzed. Dorsolateral prefrontal cortex (DLPFC) seeds were used to examine connectivity of the ECN and posterior cingulate cortex (PCC) seeds were used for the DMN. Using a whole-brain analysis, the functional connectivity of these seeds was correlated with serum levels chenodeoxycholic acid (CDCA) and its bacterially-derived secondary bile acid, lithocholic acid (LCA). Results: CDCA levels were strongly and inversely correlated with connectivity between DLPFC regions of the ECN (R2= .401, p<.001). LCA levels were strongly and positively correlated with connectivity of the DLPFC and left inferior temporal cortex of the ECN (R2=.263, p<.001). The LCA/CDCA ratio was strongly and positively correlated with connectivity of the DLPFC with two components of the ECN: bilateral inferior temporal cortex and the left superior and inferior parietal lobules (all R2>.24, all p<.001). For the DMN, the LCA/CDCA ratio was strongly and negatively correlated with connectivity of the PCC with multiple bilateral insula regions (all R2>0.25, all p<.001). Conclusions: The relationship between LCA and CDCA levels and functional connectivity of the ECN and DMN suggests potential shared pathophysiologic processes between Alzheimers disease and MDD.

neuroscience↗

Self organisation of invasive breast cancer driven by the interplay of active and passive nematic dynamics

In invasive breast cancer, cell clusters of varying sizes and shapes are embedded in the fibrous extracellular matrix (ECM). Although the prevailing view attributes this structure to increasing disorder resulting from loss of function and dedifferentiation, our findings reveal that it arises through a process of active self-organization driven by cancer cell motility. Simulations and histological analyses of tumours from over 2,000 breast cancer patients reveal that motile, aligned cancer cells within clusters move as active nematic aggregates through the surrounding highly aligned ECM fibres, which form a confining, passive nematic phase. Cellular motion leads to cluster splitting and coalescence. The degree of cluster activity, combined with heterogeneity in cell motility, is reflected in specific scaling behaviours for cluster shape, size distribution, and the distance between cluster boundaries and nematic defects in ECM alignment. Increased activity estimates correlate with tumour progression and are associated with a poorer prognosis for patients.

biophysics↗

Visualizing Single V-ATPase Rotation Using Janus Nanoparticles

Understanding the function of rotary molecular motors, such as the rotary ATPases, relies on our ability to visualize the single-molecule rotation. Traditional imaging methods often involve tagging those motors with nanoparticles (NPs) and inferring their rotation from translational motion of NPs. Here, we report an approach using "two-faced" Janus NPs to directly image the rotation of single V-ATPase from Enterococcus hirae, an ATP-driven rotary ion pump. By employing a 500-nm silica/gold Janus NP, we exploit its asymmetric optical contrast - silica core with a gold cap on one hemisphere - to achieve precise imaging of the unidirectional counter-clockwise rotation of single V-ATPase motors immobilized on surfaces. Despite the added viscous load from the relatively large Janus NP probe, our approach provides accurate torque measurements of single V-ATPase. This study underscores the advantages of Janus NPs over conventional probes, establishing them as powerful tools for single-molecule analysis of rotary molecular motors.

biophysics↗

Tissue determinants of the human T cell receptor repertoire.

98% of T cells reside in tissues, yet nearly all human T cell analyses are performed from peripheral blood. We single-cell sequenced 5.7 million T cells from ten donors autologous blood and tonsils and sought to answer key questions about T cell receptor biology previously unanswerable by smaller-scale experiments. We identified distinct clonal expansions and distributions in blood compared to tonsils, with surprisingly low (1-7%) clonal sharing. These few shared clones exhibited divergent phenotypes across bodily sites. Analysis of antigen-specific CD8 T cells revealed location as a main determinant of frequency, phenotype, and immunodominance. Finally, diversity estimates from the tissue recalibrates current repertoire diversity estimates, and we provide a refined estimate of whole-body repertoire. Given the tissue-restricted nature of T cell phenotypes, functions, differentiation, and clonality revealed by this dataset, we conclude that tissue analyses are crucial for accurate repertoire analysis and monitoring changes after perturbing therapies.

immunology↗

Distinct Proline residues in hinge-regions of SYMRK generates a phosphocode for releasing Malectin-like-Domain to allow progress of rhizobia-legume symbiosis at epidermal-cortical barrier.

Symbiosis Receptor Kinase (SYMRK), a malectin-like-domain/leucine-rich-repeat receptor-like-kinase (MLD-LRR-RLK), is the upstream most component in Common-Symbiosis-Signalling-Pathway. We highlight two Proline residues that were distinctly acquired by SYMRK orthologues in its hinge-regions to evolve a signalling module for allowing progress of symbionts across transcellular barriers during rhizobia-legume symbiosis. Within the Ectodomain hinge (EctoD-hinge) all MLD-LRR-RLKs have a conserved W1xnGDPCxnW2x4C motif, where SYMRK orthologues within legumes have a distinct signature with a Proline preceding W2 enabling cleavage of SYMRK-EctoD for releasing MLD. Within the kinase hinge (KD-hinge) at gatekeeper+1 position, a conserved Glutamate in MLD-LRR-RLKs is replaced by Proline in all SYMRK orthologues that enabled its dual-specific kinase activity for ensuring EctoD-cleavage. Substitution of either Proline restricted symbionts at the transcellular epidermal-cortical barrier forming infection patches in the nodule apex without affecting epidermal invasion and nodule organogenesis. This halt was entirely overcome by ectopic expression of free MLD demonstrating the released MLD to have an active role in progress of symbionts. Overall, we show that adaptations of distinct Prolines in hinge-regions of SYMRK orthologues in legumes have evolved a signalling module involving dimerization and optimal phosphorylation of SYMRK for releasing MLD as an active transducer of symbiosis signalling.

plant biology↗

Stromal KITL/SCF promotes pancreas tissue homeostasis and restrains tumor progression

Components of normal tissue architecture serve as barriers to tumor progression. Inflammatory and wound-healing programs are requisite features of solid tumorigenesis, wherein alterations to immune and non-immune stromal elements enable loss of homeostasis during tumor evolution. The precise mechanisms by which normal stromal cell states limit tissue plasticity and tumorigenesis, and which are lost during tumor progression, remain largely unknown. Here we show that healthy pancreatic mesenchyme expresses the paracrine signaling molecule KITL, also known as stem cell factor, and identify loss of stromal KITL during tumorigenesis as tumor-promoting. Genetic inhibition of mesenchymal KITL in the contexts of homeostasis, injury, and cancer together indicate a role for KITL signaling in maintenance of pancreas tissue architecture, such that loss of the stromal KITL pool increased tumor growth and reduced survival of tumor-bearing mice. Together, these findings implicate loss of mesenchymal KITL as a mechanism for establishing a tumor-permissive microenvironment. Statement of significanceBy analyzing transcriptional programs in healthy and tumor-associated pancreatic mesenchyme, we find that a sub-population of mesenchymal cells in healthy pancreas tissue express the paracrine signaling factor KITL. Loss of mesenchymal KITL is an accompanying and permissive feature of pancreas tumor evolution, with potential implications for cancer interception.

cancer biology↗

Flagellar Motility is Mutagenic

Flagella are highly complex rotary molecular machines that enable bacteria to not only migrate to optimal environments but to also promote range expansion, competitiveness, virulence, and antibiotic survival. Flagellar motility is an energy-demanding process, where the sum of its production (biosynthesis) and operation (rotation) costs has been estimated to total [~]10% of the entire energy budget of an E. coli cell. The acquisition of such a costly adaptation process is expected to secure short-term benefits by increasing competitiveness and survival, as well as long-term evolutionary fitness gains. While the role of flagellar motility in bacterial survival has been widely reported, its direct influence on the rate of evolution remains unclear. We show here that both production and operation costs contribute to elevated mutation frequencies. Our findings suggest that flagellar movement may be an important player in tuning the rate of bacterial evolution.

microbiology↗

TSC2 loss in neural progenitor cells suppresses translation of ASD/NDD-associated transcripts in an mTORC1- and MNK1/2-reversible fashion

Tuberous sclerosis complex (TSC) is an inherited neurodevelopmental disorder (NDD) with frequent manifestations of epilepsy and autism spectrum disorder (ASD). TSC is caused by inactivating mutations in TSC1 or TSC2 tumor suppressor genes, with encoded proteins hamartin (TSC1) and tuberin (TSC2) forming a functional complex inhibiting mechanistic target of rapamycin complex 1 (mTORC1) signaling. This has led to treatment with allosteric mTORC1 inhibitor rapamycin analogs ("rapalogs") for TSC tumors; however, rapalogs are ineffective for treating neurodevelopmental manifestations. mTORC1 signaling controls protein synthesis by regulating formation of the eIF4F complex, with further modulation by MNK1/2 kinases via phosphorylation of the eIF4F subunit eIF4E. While both these pathways modulate translation, comparing their impact on transcriptome-wide mRNA translation, as well as effects of inhibiting these pathways in TSC has not been explored. Here, employing CRISPR-modified, isogenic TSC2 patient-derived neural progenitor cells (NPCs), we have examined transcriptome-wide changes in mRNA translation upon TSC2 loss. Our results reveal dysregulated translation in TSC2-Null NPCs, which significantly overlaps with the translatome from TSC1-Null NPCs. Interestingly, numerous non-monogenic ASD-, NDD-and epilepsy-associated genes identified in patients harboring putative loss-of-function mutations, were translationally suppressed in TSC2-Null NPCs. Importantly, translation of these ASD- and NDD-associated genes was reversed upon inhibition of either mTORC1 or MNK1/2 signaling using RMC-6272 or eFT-508, respectively. This study establishes the importance of mTORC1-eIF4F- and MNK-eIF4E-sensitive mRNA translation in TSC, ASD and other neurodevelopmental disorders laying the groundwork for evaluating drugs in clinical development that target these pathways as a treatment strategy for these disorders.

molecular biology↗

Loop Catalog: a comprehensive HiChIP database of human and mouse samples

HiChIP enables cost-effective and high-resolution profiling of chromatin loops. To leverage the increasing number of HiChIP datasets, we developed Loop Catalog (https://loopcatalog.lji.org), a web-based database featuring loop calls from 1000+ distinct human and mouse HiChIP samples from 152 studies plus 44 high-resolution Hi-C samples. We demonstrate its utility for interpreting GWAS and eQTL variants through SNP-to-gene linking, identifying enriched sequence motifs and motif pairs, and generating regulatory networks and 2D representations of chromatin structure. Our catalog spans over 4.19M unique loops, and with embedded analysis modules, constitutes an important resource for the field.

bioinformatics↗

Medication Use is Associated with Distinct Microbial Features in Anxiety and Depression

This study investigated the relationship between gut microbiota and neuropsychiatric disorders (NPDs), specifically anxiety disorder (ANXD) and/or major depressive disorder (MDD), as defined by DSM-IV or V criteria. The study also examined the influence of medication use, particularly antidepressants and/or anxiolytics, classified through the Anatomical Therapeutic Chemical (ATC) Classification System, on the gut microbiota. Both 16S rRNA gene amplicon sequencing and shallow shotgun sequencing were performed on DNA extracted from 666 fecal samples from the Tulsa-1000 and NeuroMAP CoBRE cohorts. The results highlight the significant influence of medication use; antidepressant use is associated with significant differences in gut microbiota beta diversity and has a larger effect size than NPD diagnosis. Next, specific microbes were associated with ANXD and MDD, highlighting their potential for non-pharmacological intervention. Finally, the study demonstrated the capability of Random Forest classifiers to predict diagnoses of NPD and medication use from microbial profiles, suggesting a promising direction for the use of gut microbiota as biomarkers for NPD. The findings suggest that future research on the gut microbiotas role in NPD and its interactions with pharmacological treatments are needed.

microbiology↗

Mapping the Cellular Biogeography of Human Bone Marrow Niches Using Single-Cell Transcriptomics and Proteomic Imaging

The bone marrow is the organ responsible for blood production. Diverse non-hematopoietic cells contribute essentially to hematopoiesis. However, these cells and their spatial organization remain largely uncharacterized as they have been technically challenging to study in humans. Here, we used fresh femoral head samples and performed single-cell RNA sequencing (scRNA-Seq) to profile 29,325 enriched non-hematopoietic bone marrow cells and discover nine transcriptionally distinct subtypes. We next employed CO-detection by inDEXing (CODEX) multiplexed imaging of 18 individuals, including both healthy and acute myeloid leukemia (AML) samples, to spatially profile over one million single cells with a novel 53-antibody panel. We discovered a relatively hyperoxygenated arterio-endosteal niche for early myelopoiesis, and an adipocytic, but not endosteal or perivascular, niche for early hematopoietic stem and progenitor cells. We used our atlas to predict cell type labels in new bone marrow images and used these predictions to uncover mesenchymal stromal cell (MSC) expansion and leukemic blast/MSC-enriched spatial neighborhoods in AML patient samples. Our work represents the first comprehensive, spatially-resolved multiomic atlas of human bone marrow and will serve as a reference for future investigation of cellular interactions that drive hematopoiesis.

cell biology↗

A comprehensive map of transient protein-protein interactions and their structural features in the E. coli 1-carbon metabolism pathway

Enzymes in a pathway often form metabolons through weak protein-protein interactions (PPI) that localize and protect labile metabolites. Due to their transient nature, the structural architecture of these enzyme assemblies has largely remained elusive, limiting our abilities to re-engineer novel metabolic pathways. Here we delineate a complete PPI map of 1225 interactions in the E. coli 1-carbon metabolism pathway using bimolecular fluorescence complementation that can capture transient interactions in vivo and show strong intra- and inter-pathway clusters within the folate and purine biosynthesis pathways. Scanning mutagenesis experiments along with AlphaFold predictions and meta-dynamics simulations reveal that most proteins use conserved "dedicated" interfaces distant from their active sites to interact with multiple partners. Diffusion-reaction simulations with shared interaction surfaces and realistic PPI networks reveal a dramatic speedup in metabolic pathway fluxes. Overall, this study sheds light on the fundamental features of metabolon biophysics and structural aspects of transient binary complexes. Significance statementEnzymes from the same metabolic pathway often form dynamic assemblies called metabolons, which channel metabolites as well as protect labile intermediates. Yet very little is known about their structural features or what makes these interactions transient. Paucity of such information has particularly affected our ability to engineer novel metabolic pathways, construct multi-scale mathematical models of cells, etc. We address this by obtaining a comprehensive map for 1225 interaction pairs in the essential 1-carbon metabolism pathway of E. coli. Using both high-throughput experiments and computation, we uncover that metabolon proteins tend to use a conserved dedicated interface to interact with their partners. These results shed light on structural and energetic aspects of PPI in metabolons at near atomic level of resolution.

biophysics↗

Cas9 nickase-mediated contraction of CAG/CTG repeatsat multiple disease loci

Expanded CAG/CTG repeats cause over 15 different diseases that all remain without a disease-modifying treatment. Because repeat length accounts for most of the variation in disease severity, contracting them presents an attractive therapeutic avenue. Here, we show that the CRISPR-Cas9 nickase targeted to CAG/CTG repeats leads to efficient contractions in Huntingtons disease patient-derived neurons and astrocytes, and in myotonic dystrophy type 1 patient-derived neurons. The approach is allele-selective and free of detectable off-target mutations. Striatal injection of the Cas9 nickase in a mouse model for Huntingtons disease using adeno-associated viral vectors led to contractions in over half the infected cells. Upon injection, we observed a reduction in the number of inclusion bodies, improved transcriptome, and ameliorated locomotion. The effects were greater than expected from the contractions induced and suggest that non-cell autonomous mechanisms may be involved. Our results provide the proof-of-concept that correction of CAG/CTG repeats can improve Huntingtons disease phenotypes in vivo. One sentence summaryThe Cas9 nickase contracts CAG/CTG repeats at multiple disease loci in patient-derived cells and improves molecular and behavioral phenotypes in HD.

neuroscience↗