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Patel, K.

Publications and source records attributed to Patel, K..

At least 73 records · Page 4Linked to original sources

BRAND: A platform for closed-loop experiments with deep network models

Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding neural activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support in existing real-time frameworks. Researchers need a platform that fully supports high-level languages for running ANNs (e.g., Python and Julia) while maintaining support for languages that are critical for low-latency data acquisition and processing (e.g., C and C++). To address these needs, we introduce the Backend for Realtime Asynchronous Neural Decoding (BRAND). BRAND comprises Linux processes, termed nodes, which communicate with each other in a graph via streams of data. Its asynchronous design allows for acquisition, control, and analysis to be executed in parallel on streams of data that may operate at different timescales. BRAND uses Redis to send data between nodes, which enables fast inter-process communication and supports 54 different programming languages. Thus, developers can easily deploy existing ANN models in BRAND with minimal implementation changes. In our tests, BRAND achieved <600 microsecond latency between processes when sending large quantities of data (1024 channels of 30 kHz neural data in 1-millisecond chunks). BRAND runs a brain-computer interface with a recurrent neural network (RNN) decoder with less than 8 milliseconds of latency from neural data input to decoder prediction. In a real-world demonstration of the system, participant T11 in the BrainGate2 clinical trial performed a standard cursor control task, in which 30 kHz signal processing, RNN decoding, task control, and graphics were all executed in BRAND. This system also supports real-time inference with complex latent variable models like Latent Factor Analysis via Dynamical Systems. By providing a framework that is fast, modular, and language-agnostic, BRAND lowers the barriers to integrating the latest tools in neuroscience and machine learning into closed-loop experiments.

neuroscience↗

miR-324 mediates bone homeostasis through the regulation of osteoblast and osteoclast differentiation and activity

microRNAs (miRNAs) are non-coding RNAs which modulate the expression of other RNA molecules. One miRNA can target many transcripts, allowing each miRNA to play key roles in many biological pathways. miR-324 is a miRNA previously implicated in bone and cartilage maintenance, defects of which result in common age-related diseases, such as osteoporosis or osteoarthritis (OA). In global miR-324-null mice cartilage damage was increased in both surgically and ageing-induced OA, despite minimal changes to the cartilage transcriptome, with few predicted miR-324 targets dysregulated. However, micro-computed tomography and histology demonstrated that global miR- 324-null the mice had an increase in bone mineral density, trabecular thickness and cortical thickness, with many parameters increasing with age. The bone marrow of miR-324-null mice also had reduced lipid content while and in vivo TRAP staining revealed a decrease in osteoclasts, with histomorphometry demonstrating an increased rate of bone formation in miR-324-null mice. Ex vivo assays revealed that the high bone mass phenotype of the miR-324-null mice resulted from increased osteoblast activity and decreased osteoclastogenesis. RNA-seq and qRT-PCR followed by miR-324 target prediction and validation in osteoblasts, osteoclasts and bone marrow macrophages identified the osteoclast fusion regulator Pin1 as a miR-324 target in the osteoclast lineage and the master osteogenic regulator Runx2 as a target of miR-324-5p in osteoblasts, the in vitro overexpression of which recapitulated the increased osteogenesis and decreased adipogenesis phenotype observed in vivo. These data point to important roles of miR-324 in skeletal biology with altered bone homeostasis in miR-324-null mice potentially causal for the increased cartilage damage observed during OA and ageing. Elucidation of pathways regulated by miR-324 offer promise for the treatment of bone diseases such as osteoporosis.

cell biology↗

Groundwater redox dynamics across the terrestrial-aquatic interface of Lake Erie coastal ecosystems

Groundwater biogeochemistry in coastal areas is spatially and temporally dynamic because fluctuations in groundwater level may cause alternate redox between distinct hydrological conditions. Recent studies have proposed connections between biogeochemistry and large-scale hydrological processes, specifically focusing on the role of redox-active compounds in changing the oxidation state during flooding and draining events. While water saturation generally results in a shift of redox-active compounds from electron donors to acceptors, the specific mechanisms underlying the transition of groundwater between oxidizing and reducing conditions in response to water level fluctuations are uncertain. To determine the effects of groundwater levels on redox dynamics, we monitored groundwater redox potential across the terrestrial-aquatic interface in Lake Erie coastal areas throughout the high and low-water seasons. In contrast to previously observed responses to flooding in soils, our results revealed patterns of oxidizing redox potentials during high-water and reducing during low-water periods. Furthermore, short-term fluctuations in water table levels significantly impacted the redox potential of groundwater when dissolved oxygen increased, and redox dynamics displayed voltage hysteresis in most events. Based on these findings, we propose that for improved predictions of microbial functions and biogeochemical cycles, redox-informed models should incorporate the antagonistic changes in groundwater redox balance compared to soils and consider the time lags in redox fluctuations. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=92 SRC="FIGDIR/small/544684v1_figu1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@4d7a19org.highwire.dtl.DTLVardef@8b2b92org.highwire.dtl.DTLVardef@d9bc11org.highwire.dtl.DTLVardef@ca3e13_HPS_FORMAT_FIGEXP M_FIG Graphical AbstractConceptual diagram of groundwater redox fluctuations in coastal ecosystems. Large redox fluctuations are derived by dissolved oxygen inputs and smaller more frequent redox fluctuations are led by redox sensitive species leaching from topsoil. C_FIG

ecology↗

mRNA display reveals a class of high-affinity bromodomain-binding motifs that are not found in the human proteome

Bromodomains regulate gene expression by recognizing protein motifs containing acetyllysine. Although originally characterized as histone-binding proteins, it has since become clear that these domains interact with other acetylated proteins, perhaps most prominently transcription factors. The likely transient nature and low stoichiometry of such modifications, however, has made it challenging to fully define the interactome of any given bromodomain. To begin to address this knowledge gap in an unbiased manner, we carried out mRNA display screens against a bromodomain - the N-terminal bromodomain of BRD3 - using peptide libraries that contained either one or two acetyllysine residues. We discovered peptides with very strong consensus sequences and with affinities that are significantly higher than typical bromodomain-peptide interactions. X-ray crystal structures also revealed modes of binding that have not been seen with natural ligands. Intriguingly, however, our selected sequences are not found in the human proteome, perhaps suggesting that strong binders to bromodomains might have been selected against.

biochemistry↗

Ischemia/Reperfusion Injury and Oxidative Stress Impair Cardiac Desmin Proteostasis

BackgroundThough acute mortality by myocardial infarction (MI) has declined in past decades, MI still represents one of the leading causes of heart failure (HF) development. We recently demonstrated the accumulation of toxic desmin aggregates in patients with HF of ischemic origin. Since desmin aggregates are toxic for the heart we aimed to test whether their formation can be induced by oxidative stress as a proxy for reperfusion injury, as well as addressing the effects of therapeutic strategies aimed at reducing desmin aggregation with cardiac oxidative stress. Methods and ResultsWe demonstrate here that oxidative stress is able to induce desmin aggregation, acutely, in a cell-specific and dose-dependent fashion. We also show that elevation of O-linked {beta}-N-acetylglucosamine (O-GlcNAc) prior to or after oxidative stress reduces the formation of toxic desmin aggregates and its pro-aggregating desmin post-translational modifications (PTM). In addition, we show for the first time a role for the transmembrane protease serine 13 (TMPRSS13) with desmin cleavage in response to oxidative stress while desmins single cysteine plays a protective role from I/R injury, which is independent of gain or loss of desmin function. ConclusionsThe proliferation of desmin PTM-forms (i.e., proteoforms) and its aggregation hallmark acute and chronic cardiac stress and result in both loss of and gain of desmin function. We report here two novel mechanisms that could be targeted for therapy to preserve desmin homeostasis and cardiac function in the acute settings of oxidative stress and reperfusion injury.

biochemistry↗

Systems analysis of miR-199a/b-5p and multiple miR-199a/b-5p targets during chondrogenesis

Changes in chondrocyte gene expression can contribute to the development of osteoarthritis (OA), and so recognition of the regulative processes during chondrogenesis can lead to a better understanding of OA. microRNAs (miRNAs) are key regulators of gene expression in chondrocytes/OA and we have used a combined experimental, bioinformatic, and systems biology approach to explore the multiple miRNA-mRNA interactions that regulate chondrogenesis. A longitudinal chondrogenesis bioinformatic analysis identified paralogues miR-199a-5p and miR-199b-5p as pro-chondrogenic regulators. Experimental work demonstrated alteration of miR-199a-5p or miR-199b-5p expression led to significant inverse modulation of key chondrogenic genes and extracellular matrix production. miR-199a/b-5p targets FZD6, ITGA3 and CAV1 were identified by inhibition experiments and verified as direct targets by luciferase assay. The experimental work was used to generate and parameterize a multi-miRNA 14-day chondrogenesis kinetic model to be used as a repository for the experimental work and as a resource for further investigation of this system. This is the first multi-miRNA model of a chondrogenesis-based system, and highlights the complex relationships between regulatory miRNAs, and their target mRNAs.

systems biology↗

The structure of the neurotoxin palytoxin determined by MicroED

Palytoxin (PTX) is a potent neurotoxin found in marine animals that can cause serious symptoms such as muscle contractions, haemolysis of red blood cells and potassium leakage. Despite years of research, very little is known about the mechanism of PTX. However, recent advances in the field of cryoEM, specifically the use of microcrystal electron diffraction (MicroED), have allowed us to determine the structure of PTX. It was discovered that PTX folds into a hairpin motif and is able to bind to the extracellular gate of Na,K-ATPase, which is responsible for maintaining the electrochemical gradient across the plasma membrane. These findings, along with molecular docking simulations, have provided important insights into the mechanism of PTX and can potentially aid in the development of molecular agents for treating cases of PTX exposure.

biochemistry↗

A novel human iPSC model of COL4A1/A2 small vessel disease unveils a key pathogenic role of matrix metalloproteinases in extracellular matrix abnormalities

Abstract/SummaryCerebral small vessel disease (SVD) affects the small vessels in the brain and is a leading cause of stroke and dementia. Emerging evidence supports a role of the extracellular matrix (ECM), at the interface between blood and brain, in the progression of SVD pathology but this remains poorly characterized. To address ECM role in SVD, we developed a co-culture model of mural and endothelial cells using human induced pluripotent stem cells from patients with COL4A1/A2 SVD-related mutations. This model revealed that these mutations induce apoptosis, migration defects, ECM remodelling and transcriptome changes in mural cells. Importantly, these mural cell defects exert a detrimental effect on endothelial cells tight junctions through paracrine actions. COL4A1/A2 models also express high levels of matrix metalloproteinases (MMP) and inhibiting MMP activity partially rescues the ECM abnormalities and mural cell phenotypic changes. These data provide a basis for targeting MMP as a therapeutic opportunity in SVD. HighlightsO_LIA novel human iPSC-derived model of genetic SVD due to collagen IV (COL4A1/A2) mutations is described C_LIO_LIMural cells expressing COL4A1/A2 mutations have prominent ECM abnormalities as seen in patients and mouse models and contribute to endothelial cells defects C_LIO_LIECM and endothelial cells abnormalities can be rescued by MMP inhibition in the COL4A1/A2 model C_LI

cell biology↗

Integrated ACMG approved genes and ICD codes for the translational research and precision medicine

Timely understanding of biological secrets of complex diseases will ultimately benefit millions of individuals by reducing the high risks for mortality and improving the quality of life with personalized diagnoses and treatments. Due to the advancements in sequencing technologies and reduced cost, genomics data is developing at an unmatched pace and levels to foster translational research and precision medicine. Over ten million genomics datasets have been produced and publicly shared in the year 2022. Diverse and high-volume genomics and clinical data have the potential to broaden the scope of biological discoveries and insights by extracting, analyzing, and interpreting the hidden information. However, the current and still unresolved challenges include the integration of genomic profiles of the patients with their medical records. The disease definition in genomics medicine is simplified, when in the clinical world, diseases are classified, identified, and adopted with their International Classification of Diseases (ICD) codes, which are maintained by the World Health Organization (WHO). Several biological databases have been produced, which includes information about human genes and related diseases. However, still, there is no database exists, which can precisely link clinical codes with relevant genes and variants to support genomic and clinical data integration for clinical and translation medicine. In this project, we are focused on the development of an annotated gene-disease-code database, which is accessible through an online, cross-platform, and user-friendly application i.e., PAS-GDC. However, our scope is limited to the integration of ICD-9 and ICD-10 codes with the list of genes approved by the American College of Medical Genetics and Genomics (ACMG). Results include over seventeen thousand diseases and four thousand ICD codes, and over eleven thousand gene-disease-code combinations.

bioinformatics↗

Discovery and characterization of cyclic peptides selective for the C-terminal bromodomains of BET family proteins

SUMMARYDNA encoded cyclic peptide libraries offer unique opportunities to discover high-potency, high-specificity ligands directed against a target protein. We set out to explore the potential for such libraries to provide ligands that can distinguish between bromodomains from the closely related paralogues of the Bromodomain and ExtraTerminal domain (BET) family of epigenetic regulators. Analysis of peptides isolated from a screen against the C-terminal bromodomain of family member BRD2, together with new peptides discovered in previous screens against the corresponding domain from BRD3 and BRD4, reveals peptides with nanomolar and subnanomolar affinities. X-ray crystal structures of several of these bromodomain-peptide complexes reveal diverse structures and binding modes, which nevertheless display several conserved binding features. A subset of the peptides demonstrates significant paralogue-level specificity, though structural analysis does not reveal clear physicochemical explanations for this specificity. Our data demonstrate the power of cyclic peptides to discriminate between highly similar proteins with high potency and hint that differences in conformational dynamics between BET-family bromodomains might modulate binding affinities amongst family members for particular ligands.

biochemistry↗

MLKL deficiency protects against low-grade, sterile inflammation in aged mice

MLKL and RIPK3 are the core signaling proteins of the inflammatory cell death pathway, necroptosis, which is a known mediator and modifier of human disease. Necroptosis has been implicated in the progression of disease in almost every physiological system and recent reports suggest a role for necroptosis in aging. Here we present the first comprehensive analysis of age-related histopathological and immunological phenotypes in a cohort of Mlkl-/- and Ripk3-/- mice on a congenic C57BL/6J genetic background. We show that genetic deletion of Mlkl, but not Ripk3, in female mice interrupts immune system aging, specifically delaying the age-related reduction of circulating lymphocytes. Mlkl-/- female mice were also protected against age-related, low-grade chronic sterile inflammation, with a reduced number of inflammatory infiltrates present in the connective and muscle tissue at 17 months relative to wild-type littermates. These observations implicate MLKL in age-related sterile inflammation, suggesting a possible application for long-term anti-necroptotic therapy in humans.

immunology↗

Using Machine Learning to identify microRNA biomarkers for predisposition to Juvenile Onset Huntington's Disease

BackgroundHuntingtons disease (HD) is an autosomal dominant disease which is triggered by a large expansion of CAG nucleotides in the HTT gene. While the CAG expansion linearly correlates with the age of disease onset in HD, twin-studies and cohorts of Juvenile Onset HD (JOHD) patients have shown other factors influence the progression of HD. Thus, it would be of interest to identify molecular biomarkers which indicate predisposition to the development of HD, and as microRNAs (miRNAs) circulate in bio-fluids they would be particularly useful biomarkers. We explored a large HD miRNA-mRNA expression dataset (GSE65776) to establish appropriate questions that could be addressed using Machine Learning (ML). We sought sets of features (mRNAs or miRNAs) to predict HD or WT samples from aged or young mouse cortex samples, and we asked if a set of features could predict predisposition to HD or WT genotypes by training models on aged samples and testing the models on young samples. Several models were created using ADAboost, ExtraTrees, GaussianNB and Random Forest, and the best performing models were further analysed using AUC curves and PCA plots. Finally, genes used to train our miRNA-based predisposition model were mined from HD patient bio-fluid samples. ResultsOur testing accuracies were between 66-100% and AUC scores were between 31-100%. We generated several excellent models with testing accuracies >80% and AUC scores >90%. We also identified homologues of mmu-miR-154-5p, mmu-miR-181a-5p, mmu-miR-212-3p, mmu-miR-378b, mmu-miR-382-5p and mmu-miR-770-5p from our miRNA-based predisposition model to be circulating in HD patient blood samples at p.values of <0.05. ConclusionsWe generated several age-based models which could differentiate between HD and WT samples, including an aged mRNA-based model with a 100% AUC score, an aged miRNA-based model with a 92% AUC score and an aged miRNA-based model with a 96% AUC score. We also identified several miRNAs used to train our miRNA-based predisposition model which were detectable in HD patient blood samples, which suggests they could be potential candidates for use as non-invasive biomarkers for HD research.

bioinformatics↗

Salivary exosomal miR-1307-5p predicts disease aggressiveness and poor prognosis in oral squamous cell carcinoma patients

BackgroundSalivary exosomal miRNAs as biomarkers facilitate repeated sampling, real-time disease monitoring and assessment of therapeutic response. This study identifies a single salivary exosomal miRNA prognosticator that will aid in improved patient outcome using a liquid biopsy approach. MethodSmall RNA and transcriptome sequencing profiles of tumour tissues and salivary exosomes from oral cancer patients were compared to their non-cancerous counterparts. We validated these results using the Cancer Genome Atlas database and performing Real-time PCR on a larger patient cohort. Potential target genes, miRNA-mRNA networks and enriched biological pathways regulated by this microRNA were identified using computational tools. ResultsSalivary exosomes (size: 30-50nm) demonstrated a strong expression of CD47 and detectable expression of tetraspanins CD63, CD81 and CD9 by flow cytometry. miR-1307-5p was exclusively overexpressed in tissues and salivary exosomes of oral cancer patients compared to their non-cancerous counterparts. Enhanced expression of miR-1307-5p clinically correlated with poor patient survival, disease progression, aggressiveness and chemo-resistance in these patients. Transcriptome analysis suggested that miRNA-1307-5p could promote oral cancer progression by suppressing THOP1, EHF, RNF4, GET4, and RNF114. ConclusionSalivary exosomal miRNA-1307-5p is a potential prognosticator for predicting poor survival and poor patient outcome in oral cancers.

cancer biology↗

Loss of cell polarity regulators initiates pyroptosis in trophoblasts at the human maternal fetal interface

The syncytiotrophoblast is the placental epithelial cell that forms the maternal surface of the human placenta, acting as a barrier and facilitating exchange between mother and fetus. Syncytiotrophoblast dysfunction is a feature of pregnancy pathologies, like preeclampsia. Dysfunctional syncytiotrophoblast display a loss of microvilli, a marker of aberrant apical-basal polarization, but little data exists about the regulation of syncytiotrophoblast polarity. Atypical protein kinase-c (aPKC) isoforms are conserved polarity regulators. Thus, we hypothesized that aPKC isoforms regulate syncytiotrophoblast polarity. Using human placental explant culture and primary trophoblasts, we found that loss of aPKC activity or expression induces syncytiotrophoblast gasdermin E dependent pyroptosis. We also establish that TNF- induces an isoform specific decrease in aPKC expression and gasdermin E dependent pyroptosis. Therefore, aPKCs are homeostatic regulators of syncytiotrophoblast function and a pathogenically relevant pro-inflammatory signal leads to a highly pro-inflammatory form of cell death at the maternal-fetal interface. Therefore, our results have important implications for the pathobiology of placental disorders.

developmental biology↗

A novel 4 miRNA signature from salivary exosomes regulates multiple signalling pathways and predicts tumour progression in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is often diagnosed late, leading to poor patient outcomes. This study aims to identify potential miRNA-based biomarkers for predicting disease progression using salivary exosomes derived from OSCC patients. Further, we identify crucial miRNA-mRNA networks involved in tumorigenesis and uncover the underlying mechanism responsible for OSCC progression. Small RNA (n=23) sequencing analysis along with data available from The Cancer Genome Atlas (TCGA) (n=114) identified 12 differentially expressed miRNAs in OSCC patients as compared to controls. Validating these findings, miR-140-5p, miR-143-5p, and miR-145-5p were significantly downregulated in a larger cohort of OSCC patients (n=70). This 3-miRNA signature demonstrated higher efficacy of salivary exosomes (p<0.0001) in early detection and clinically correlated with disease progression and overall survival of OSCC patients (p<0.05). Further, analysis of the transcriptome, TCGA datasets and miRNA-mRNA networks, identified top hub genes (HIF1a, CDH1, CD44, EGFR, and CCND1) which were regulated by a 3-miRNA signature. Based on pathway analysis, these miRNA-mRNA interactions were found to be involved in regulating epithelial-mesenchymal transition (EMT). Further, transfection-mediated upregulation of the 3-miRNA signature significantly decreased cell proliferation, induced apoptosis, resulted in G2/M phase cell cycle arrest and reduced the invasive and migratory potential by reversing the EMT process in OECM-1 cell line. Thus, this study identifies a 3-miRNA signature that can be utilized as a potential biomarker for early detection of OSCC and uncovers the underlying mechanisms responsible for converting a normal epithelial cell into a malignant phenotype.

cancer biology↗

Identification and characterization of the T cell receptor (TCR) repertoire of the Cynomolgus macaque (Macaca Fascicularis)

BackgroundNon-human primates (NHP) are desirable as animal models of human disease because they share behavioral, physiological, and genomic traits with people. Hence, NHP recapitulate manifestations of disease not observed in other animal species. The Macaca fascicularis (i.e., Cynomolgus macaque) is an NHP species extensively used for biomedical research, but the TCR repertoire hasnt been characterized yet. ResultWe used the genomic sequences to design primers to identify the expressed TCR repertoire by single cell RNAseq. The data analysis from 22 unique samples were used to assign a functional status to each TCR genes. We identified and analyzed the TRA/D, TRB and TRG loci of the Cynomolgus macaque. ConclusionThe genomic organization of the Cynomolgus macaque has great similarity with Macaca mulatta (i.e., Rhesus macaque) and they shared >90% sequence similarity with the human TCR repertoire. These data will facilitate the analysis of T cell immunity in Cynomolgus macaques.

immunology↗

Presence of sodium taurocholate co-transporting polypeptide and Hepatitis B replication marker on placenta: Another home for the virus

BackgroundThe role of sodium taurocholate co-transporting polypeptide (NTCP), in facilitating the binding of Hepatitis B virus (HBV) on surface of hepatocytes is well documented. Expression of NTCP in extra hepatic cells may make these cells susceptible to HBV infection and support cellular proliferation akin to hepatocytes. Placental replication of HBV is not well explored. In this study we have assessed the expression of NTCP and HBV replication markers (HBeAg, HBcAg, and HBV DNA) in placental cells, to investigate if these cells act as host for HBV. MethodsFourty one HBsAg+ve pregnant women along with 10 healthy controls were enrolled after obtaining informed consent. The HBV DNA in placenta was detected by qPCR using primers for X and core ORF. Expression of NTCP in placenta was analyzed by qRT-PCR and further investigated by immunohistochemistry (IHC) along with HBV replication biomarkers, HBeAg, and HBcAg. ResultsHBsAg positive subjects were divided in two groups on the basis of viral load [High Viral Load (HVL) Group; viral load [&ge;] 2000IU/ml, Low Viral Load (LVL) Group; viral load <2000IU/ml] according to INASL guidelines 2018. HBV infected females showed increased expression of NTCP in trophoblasts of placenta compared to control group (HVL 3.69{+/-}0.13 Vs Control 1.74{+/-}0.15, p=0.0117). Furthermore, significant difference in NTCP expression was also observed between HVL and LVL group (HVL 3.69{+/-}0.13 Vs LVL 1.98{+/-}0.17, p=0.022) and positively correlated with the maternal HBV DNA load. Membranous and/or cytoplasmic immunostaining of NTCP, and cytoplasmic staining of HBeAg and HBcAg in trophoblasts along with presence of HBV DNA indicated that trophoblasts are not only susceptible to HBV infection but may also be a site for viral replication. ConclusionsThis is the pioneer study, which demonstrates expression of NTCP on placenta which may facilitate the entry of HBV. Furthermore, the study establishes the presence of HBeAg in placenta of patients without circulating HBeAg, indicating these cells may act as replication host/reservoir. This pioneering finding hints at the possibility of exploring the potential of NTCP blocking strategies in preventing vertical transmission of HBV.

microbiology↗

Liquid condensate is a common state of proteins and polypeptides at the regime of high intermolecular interactions

Liquid-liquid phase separation (LLPS) has emerged as a crucial biological mechanism for sequestering macromolecules (such as proteins and nucleic acids) into membraneless organelles in cells. Unstructured and intrinsically disordered domains are known to facilitate multivalent interactions driving protein LLPS. We hypothesized that LLPS could be an intrinsic property of proteins/polypeptides at their high intermolecular interaction regime. To examine this, we studied many (a total of 23) proteins/polypeptides with different structures and sequences for LLPS study using molecular crowder polyethylene glycol (PEG-8000). We showed that all proteins and even highly charged polypeptides (under study) can undergo liquid condensate formation, however with different phase space and conditions. Using a single component and combinations of protein multicomponent (co-LLPS) systems, we establish that a variety of intermolecular interactions can drive proteins/polypeptides LLPS.

biophysics↗