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Biology subjects

Kumar, S.

Publications and source records attributed to Kumar, S..

At least 235 records · Page 13Linked to original sources

Identification of DLK1, a Notch ligand, as an immunotherapeutic target and regulator of tumor cell plasticity and chemoresistance in adrenocortical carcinoma

Immunotherapeutic targeting of cell surface proteins is an increasingly effective cancer therapy. However, given the limited number of current targets, the identification of new surface proteins, particularly those with biological importance, is critical. Here, we uncover delta-like non-canonical Notch ligand 1 (DLK1) as a cell surface protein with limited normal tissue expression and high expression in multiple refractory adult metastatic cancers including small cell lung cancer (SCLC) and adrenocortical carcinoma (ACC), a rare cancer with few effective therapies. In ACC, ADCT-701, a DLK1 targeting antibody-drug conjugate (ADC), shows potent in vitro activity among established cell lines and a new cohort of patient-derived organoids as well as robust in vivo anti-tumor responses in cell line-derived and patient-derived xenografts. However, ADCT-701 efficacy is overall limited in ACC due to high expression and activity of the drug efflux protein ABCB1 (MDR1, P-glycoprotein). In contrast, ADCT-701 is extremely potent and induces complete responses in DLK1+ ACC and SCLC in vivo models with low or no ABCB1 expression. Genetic deletion of DLK1 in ACC dramatically downregulates ABCB1 and increases ADC payload and chemotherapy sensitivity through NOTCH1-mediated adrenocortical de-differentiation. Single cell RNA-seq of ACC metastatic tumors reveals significantly decreased adrenocortical differentiation in DLK low or negative cells compared to DLK1 positive cells. This works identifies DLK1 as a novel immunotherapeutic target that regulates tumor cell plasticity and chemoresistance in ACC. Our data support targeting DLK1 with an ADC in ACC and neuroendocrine neoplasms in an active first-in-human phase I clinical trial (NCT06041516).

cancer biology↗

Metastatic organotropism in small cell lung cancer

Metastasis is the leading cause of cancer-related deaths, yet its regulatory mechanisms are not fully understood. Small-cell lung cancer (SCLC) is the most metastatic form of lung cancer, with most patients presenting with widespread disease, making it an ideal model for studying metastasis. However, the lack of suitable preclinical models has limited such studies. We utilized rapid autopsy-derived tumors to develop xenograft models that mimic key features of SCLC, including histopathology, rapid and widespread development of metastasis to the liver, brain, adrenal, bone marrow, and kidneys within weeks, and response to chemotherapy. By integrating in vivo lineage selection with comprehensive bulk and single cell multiomic profiling of transcriptomes and chromatin accessibility, we identified critical cellular programs driving metastatic organotropism to the liver and brain, the most common sites of SCLC metastasis. Our findings reveal the key role of nuclear-cytoskeletal interactions in SCLC liver metastasis. Specifically, the loss of the nuclear envelope protein lamin A/C, encoded by the LMNA gene, increased nuclear deformability and significantly increased the incidence of liver metastasis. Human liver metastases exhibited reduced LMNA expression compared to other metastatic sites, correlating with poorer patient outcomes and increased mortality. This study introduces novel preclinical models for SCLC metastasis and highlights pathways critical for organ-specific metastasis, offering new avenues for the development of targeted therapies to prevent or treat metastatic disease.

cancer biology↗

Scalable Extraction of Airway Mucins from Porcine Trachea

Mucins are a major component of the innate defense system in the airways and their biological functions are important to consider in pulmonary disease research. However, the available mucus models for basic research relevant to the lung can be difficult to acquire in sufficient quantity to conduct such studies. Here, we present a new strategy to isolate airway mucins from pig trachea at the milligram to gram scale for use in pulmonary disease research. Using this protocol, we were able to isolate mucins with minimal DNA contamination consisting of [~]70% by weight protein. Compared to porcine gastric mucins extracted with the same procedure, the porcine tracheal extract possessed significantly greater O-linked glycoprotein (mucin) content. Particle tracking microrheology was used to evaluate the biophysical properties of porcine trachea mucins. We found porcine tracheal mucins formed a much tighter mesh network and possessed a significantly greater microviscosity compared to lab extracted porcine gastric mucins. In comparison to mucus harvested from human airway tissue cultures, we found porcine tracheal mucins also possessed a greater microviscosity suggesting these mucins can form into a gel-like material at physiological total solids concentrations. These studies establish an accessible means to isolate airway mucins from porcine trachea at large scale for use in pulmonary disease research.

biochemistry↗

Ligase-mediated programmable genomic integration (L-PGI): an efficient site-specific gene editing system that overcomes the limitations of reverse transcriptase-based editing systems

Since their discovery, CRISPR/Cas9 systems have been repurposed for programmable targeted genomic editing. This has led to unprecedented advancement of gene editing for therapeutic benefit. Initial uses of CRISPR/Cas9 were focused on gene disruption via DNA cleavage, but significant engineering led to systems for single base editing as well as insertion, deletion and manipulation of short stretches of genomic sequences using nicking Cas9 and RT-based methods. These technologies allowed safer and more precise editing but were limited to small corrections and showed significantly reduced efficiencies in nondividing cells, presenting difficulty for translation to in vivo therapies. To find an alternate editing strategy that could address these shortcomings, we revisited the mechanism of DNA nicking by nCas9. nCas9 nicking creates a free 5 phosphate group and a 3 hydroxyl group on the complementary strand of the target sequence. Under ordinary conditions in the cell these ends are re-joined by endogenously expressed ligases to repair DNA back to wild-type. If, however, a DNA fragment containing the desired edit were present, ligation of the nicked genomic DNA with the delivered fragment could result in gene editing. We demonstrate that optimization of each component and introduction of a chemically modified high affinity splinting DNA allows a variety of ligase-based edits, including longer edits not efficient with RT-based systems, at high efficiencies and fidelities that minimize genomic byproducts in both dividing and nondividing cells as well as in vivo in adult mice. Here we present the first therapeutically relevant ligation-based programmable gene editing technology, L-PGI.

bioengineering↗

Metal Ion Sensing by Tetraloop-Like RNA Fragment: Role of Compact Intermediates with Non-Native Metal Ion-RNA Inner Shell Contacts

Divalent metal ions influence the folding and function of RNA in the cells. The mechanism of how RNA structural elements in riboswitches sense specific metal ions is unclear. RNA interacts with ions through two distinct binding modes: direct interaction between the ion and RNA (inner-shell (IS) coordination) and indirect interaction between the ion and RNA mediated through water molecules (outer-shell (OS) coordination). To understand how RNA senses metal ions such as Mg2+ and Ca2+, we studied the folding of a small RNA segment from the Mg2+ sensing M-Box riboswitch using computer simulations. This RNA segment has the characteristics of a GNRA tetraloop motif and interestingly requires binding of a single Mg2+ ion. The folding free energy surface of this simple tetraloop system is multidimensional, with a population of multiple intermediates where the tetraloop and cation interact through IS and OS coordination. The partially folded compact tetraloop intermediates form multiple non-native IS contacts with the metal ion. Thermal fluctuations should break these strong non-native IS contacts so that the tetraloop can fold to the native state, resulting in higher folding free energy barriers. Ca2+ undergoes rapid OS to IS transitions and vice-versa due to its lower charge density than Mg2+. However, the ability of Ca2+ to stabilize the native tetraloop state is weaker as it could not hold the loop-closing nucleotides together due to its weaker interactions with the nucleotides. These insights are critical to understanding the specific ion sensing mechanisms in riboswitches, and the predictions are amenable for verification by NMR experiments.

biophysics↗

Sca-1 expression depicts pro-inflammatory murine neutrophils under steady state and pathological conditions

Neutrophils play a crucial role in various pathophysiological conditions, yet targeting them for therapeutic intervention has been discouraged due to the associated risk of infections. Thus, identification of neutrophil subsets and their involvement in inflammatory conditions is warranted for targeted therapeutic strategies. This study, through screening of surface proteins on neutrophils isolated from different tissue microenvironments, identified a distinct neutrophil subset, CD11b+Ly6G+Sca1+ neutrophils, expressing Stem cell antigen-1 (Sca-1). Interestingly, these Sca1pos neutrophils were more abundant in the liver than BM, blood, and lungs. Further analysis revealed that Sca1pos neutrophils are mature and activated with enhanced effector functions, including superoxide generation, phagocytosis, degranulation, and NETosis. Tracing studies demonstrated ageing-independent characteristics of Sca1pos neutrophils. Remarkably, Sca1pos pro-inflammatory neutrophils promote T cell proliferation through ROS, while inhibition of Sca-1 restores T cell proliferation and ROS generation. Intriguingly, inflammatory as well as metabolic cues induce the transition of conventional neutrophils (Sca1neg) to Sca1pos neutrophils and differentiation of progenitors (granulocyte monocyte progenitors, GMPs) into Sca1pos neutrophils. Furthermore, in vivo models of acute inflammation, peritonitis, and chronic inflammatory condition, non-alcoholic steatohepatitis (NASH), exhibit an increase of Sca1pos neutrophils at inflammatory sites, while the pharmacological approach using NAC specifically mitigates the expansion of these pro-inflammatory neutrophils. Collectively, our findings unveil a novel subset of Sca1pos neutrophils with implications for inflammation. Significance StatementNeutrophilic inflammation remains the leading driver in infectious and inflammatory diseases. Targeting neutrophil populations remained un-recommended due to hampering the immunological functions of neutrophils. The heterogeneity of neutrophils provides the perspective to target altered neutrophil subsets, but subtle changes defining neutrophil subsets make it complex and ambiguous. Our study identified abundant expression of Sca1on distinct neutrophils under steady state and inflammation. Thus, we reported previously undefined Sca1pos pro-inflammatory neutrophil subsets and elucidated their regulation. This study further established their involvement in acute and chronic inflammatory conditions. This understanding may further pave the way toward targeting specific neutrophil subsets in pathologies characterized by neutrophilic inflammation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC="FIGDIR/small/613221v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@62f3eaorg.highwire.dtl.DTLVardef@7baed3org.highwire.dtl.DTLVardef@12da63org.highwire.dtl.DTLVardef@1bfcce9_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LICD11b+Ly6G+Sca1+ neutrophil subset identified with <1% presence in BM and >40% frequency in the liver. C_LIO_LIThese neutrophils are mature and activated, demonstrating enhanced effector functions. C_LIO_LISca1pos neutrophils promote T cell proliferation and display pro-inflammatory characteristics. C_LIO_LIConventional Sca1neg neutrophils transition into Sca1pos neutrophils in response to inflammatory signals, while progenitors undergo differentiation. C_LIO_LIBoth acute and chronic inflammatory models show the expansion of CD11b+Ly6G+Sca1+ neutrophils. C_LI

immunology↗

AyurPhenoClusters define common molecular roots for rare diseases and uncover ciliary dysfunctions in syndromic conditions

The heterogeneity of underlying causes and the variability of symptoms across Multiple organs in rare diseases present significant challenges when approached from an organ-centric perspective. Ayurveda, however, takes a multisystem perspective, assessing diseases through kinetic (Vata:V ), metabolic (Pitta:P ), and structural (Kapha:K ) dimensions, each with distinct phenotypic and molecular correlates. This study explores rare diseases from a systems perspective by integrating Ayurveda and unifying terminologies from both disciplines using Human Phenotype Ontology (HPO). Experts categorized 10,610 HPO terms into Ayurvedic phenotypic groups (V/P/K ) and applied the Expectation Maximization (EM) algorithm to cluster 12,678 diseases. This yielded six distinct clusters, termed AyurPhenoClusters, with 2,814 diseases uniquely classified and enriched for V/P/K phenotypes. Functional annotation of these, highlighted key biological processes: (i) embryogenesis and skeletal morphogenesis, (ii) endocrine and ciliary functions, (iii) DNA damage response and cell cycle regulation, (iv) inflammation and immune response, (v) immune function, hemopoiesis, and telomere aging, and (vi) small molecule metabolism and transport. Notably, the K predominant cluster had the highest ciliary gene enrichment (43%), followed by the V predominant cluster (16%), suggesting potential ciliopathies in V cluster. This systems-based approach enhances the understanding of rare diseases by bridging Ayurveda with modern medicine, for improved diagnostics and therapeutics

genetics↗

Design and immunogenicity of an HIV-1 clade C pediatric envelope glycoprotein stabilized by multiple platforms

Various design platforms are available to stabilize soluble HIV-1 envelope (Env) trimers, which can be used as antigenic baits and vaccine antigens. However, stabilizing HIV-1 clade C trimers can be challenging. Here, we stabilized an HIV-1 clade C trimer based on an Env isolated from a pediatric elite-neutralizer (AIIMS_329) using multiple platforms, including SOSIP.v8.2, ferritin nanoparticles (NP) and an I53-50 two-component NP, followed by characterization of their biophysical, antigenic, and immunogenic properties. The stabilized 329 Envs showed binding affinity to trimer-specific HIV-1 broadly neutralizing antibodies (bnAbs), with negligible binding to non-neutralizing antibodies (non-nAbs). Negative-stain electron microscopy (nsEM) confirmed the native-like conformation of the Envs. Multimerization of 329 SOSIP.v8.2 on ferritin and two-component I53-50 NPs improved the overall affinity to HIV-1 bnAbs and immunogenicity in rabbits. These stabilized HIV-1 clade C 329 Envs demonstrate the potential to be used as antigenic baits and as components of multivalent vaccine candidates in future.

immunology↗

MHC class I / II restricted T cell epitopes from clinical isolate of Mycobacterium tuberculosis: A potential candidate for vaccine development for Tuberculosis

Tuberculosis is major challenge to the health care system with TB associated death rates increasing annually. Optimum management of TB (particularly latent or MDR cases) warrants use of immunological approaches like subunit or peptide-based vaccination for tailoring effector immunity in patients. Since MHC class I is a potent enhancer element of host immunity and effective in clearing large variety of intracellular pathogens or tumors. In this context, we explore whether MHC-I restricted peptides from clinical isolates of M. tuberculosis can be used as an adjuvant for augmenting host immune responses. In the present study, we have synthesized various peptides from clinical isolates of M. tuberculosis which were having high affinity for Class I MHC molecules as potential immune enhancer for T cell or iNKT cell populations. We have evaluated the immunogenic potential of various MHC class I restricted epitopes (Rv2588c, Rv1357, Rv0148, Rv2973, Rv2557 and Rv2445) which were derived from clinical isolates of M. tuberculosis on increased proliferation of T or iNKT cells, release of IFN gamma secreted by T cells as well as NO as indicative parameters of immuno-stimulation. As expected, FACS and ELISA data clearly revealed that these peptides were potentially immunogenic for PBMCs from both healthy as well as 10 HC PTB patients. Our data clearly demonstrated a significant immune response in the PBMC from w PTB patients over healthy individuals which mimicked booster response. Our cytokine and nitric oxide data further revealed the influence of these peptides on sensitizing innate immune response as well. SignificanceOur study demonstrates the significance of MHC class I restricted peptides from M. tuberculosis for inducing potential immunogenic responses in host that may qualify them as potent vaccine candidate. To the best of our knowledge this is the first immune monitoring protocol describing the impact of synthetic novel MHC class I restricted T-cell epitope (Rv2588c, Rv0148) on cell mediated and innate immune response in PBMC populations and suggests their potential as vaccine candidate

immunology↗

SARS-CoV-2 protein ORF3a induces Atg8ylation of lysosomal membranes

Atg8ylation is an autophagy associated response to membrane damage that recruits mammalian ATG8 proteins (mATG8s) to damaged membranes to promote their repair or removal. Here, we show that the SARS-CoV-2 protein ORF3a induces lysosomal membrane atg8ylation and that this response protects cells from death. mATG8s interact with ORF3a and are required for lysosomal damage induced by ORF3a. ORF3a targets mTOR in an Atg8ylation dependent manner and promotes lysophagy through mATG8 mediated coordination of TRIM16 and Galectin-3. ORF3a triggers apoptosis, necroptosis, and pyroptosis, whereas atg8ylation limits ORF3a- induced cell death. Together, our findings identify mATG8s and the autophagy conjugation machinery as key regulators of lysosomal atg8ylation and lysophagy in response to the SARS-CoV-2 virulence factor ORF3a.

cell biology↗

Biomanufacturing of a functional microbial phytase in an insect host.

BackgroundInsects, such as Black Soldier Flies (Hermetia illucens), are increasingly used as sustainable animal feed ingredients that can be reared on plentiful organic substrates such as agricultural residues and pre-consumer food waste. Genetically engineering insects to heterologously express feed additive enzymes has the potential to generate more value from organic waste, while improving livestock health and productivity. Phytases are widely used feed additive enzymes that hydrolyse the phosphate groups from the myo-inositol backbone of phytic acid, a phosphate rich antinutrient compound that monogastric animals cannot efficiently digest. Dietary phytase supplementation improves absorption of phosphorous, proteins, and cationic nutrients, while mitigating the negative environmental effects of phytic acid rich excreta. ResultsWe evaluated the potential of using insects to biomanufacture microbial feed additive enzymes by engineering the model insect, Drosophila melanogaster, to express phytases. One histidine acid phytase, three beta propellor phytases, three purple acid phosphatases, and one PTP-like phytase were selected for screening in D. melanogaster. Transgenic flies expressing the AppA histidine acid phytase from E. coli had 27.82 FTU/g of phytase activity, which exceeds the 0.5-1.0 FTU/g required in animal feed. Maximum activity from AppA phytase expressed by D. melanogaster was observed at pH 5 and 55 {degrees}C, however, more than 50% of phytase activity was present at 25 {degrees}C and pH 2. Here we demonstrate that insects may be suitable hosts for the heterologous expression of a microbial phytase enzyme with applications for improving animal feed nutrition and organic waste valorisation.

synthetic biology↗

Large Serine Integrase Off-target Discovery and Validation for Therapeutic Genome Editing

While numerous technologies for the characterization of potential off-target editing by CRISPR/Cas9 have been described, the development of new technologies and analytical methods for off-target recombination by Large Serine Integrases (LSIs) are required to advance the application of LSIs for therapeutic gene integration. Here we describe a suite of off-target recombination discovery technologies and a hybrid capture validation approach as a comprehensive framework for off-target characterization of LSIs. HIDE- Seq (High-throughput Integrase-mediated DNA Event Sequencing) is a PCR-free unbiased genome-wide biochemical assay capable of discovering sites with LSI- mediated free DNA ends (FDEs) and off-target recombination events. Cryptic-Seq is a PCR-based unbiased genome-wide biochemical or cellular-based assay that is more sensitive than HIDE-Seq but is limited to the discovery of sites with off-target recombination. HIDE-Seq and Cryptic-Seq discovered 38 and 44,311 potential off-target sites respectively. 2,455 sites were prioritized for validation by hybrid capture NGS in LSI- edited K562 cells and off-target integration was detected at 52 of the sites. We benchmarked the sensitivity of our LSI off-target characterization framework against unbiased whole genome sequencing (WGS) on LSI-edited samples, and off-target integration was detected at 5 sites with an average genome coverage of 40x. This reflects a greater than 10-fold increase in sensitivity for off-target detection compared to WGS, however only 4 of the 5 sites detected by WGS were also validated by hybrid capture NGS. The dissemination of these technologies will help advance the application of LSIs in therapeutic genome editing by establishing methods and benchmarks for the sensitivity of off-target detection.

genomics↗

Validation of a Microfluidic Device Prototype for Cancer Detection and Identification: Circulating Tumor Cells Classification Based on Cell Trajectory Analysis Leveraging Cell-Based Modeling and Machine Learning

Microfluidic devices (MDs) present a novel method for detecting circulating tumor cells (CTCs), enhancing the process through targeted techniques and visual inspection. However, current approaches often yield heterogeneous CTC populations, necessitating additional processing for comprehensive analysis and phenotype identification. These procedures are often expensive, time-consuming, and need to be performed by skilled technicians. In this study, we investigate the potential of a cost-effective and efficient hyperuniform micropost MD approach for CTC classification. Our approach combines mathematical modeling of fluid-structure interactions in a simulated microfluidic channel with machine learning techniques. Specifically, we developed a cell-based modeling framework to assess CTC dynamics in erythrocyte-laden plasma flow, generating a large dataset of CTC trajectories that account for two distinct CTC phenotypes. Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) were then employed to analyze the dataset and classify these phenotypes. The results demonstrate the potential effectiveness of the hyperuniform micropost MD design and analysis approach in distinguishing between different CTC phenotypes based on cell trajectory, offering a promising avenue for early cancer detection. Author summaryEarly detection is currently the most effective method to combat cancer, as it maximizes treatment options and improves potential survival rates. However, the cost of early detection presents a significant barrier, limiting access for underrepresented groups and discouraging industrial partners from investing in the research and development of screening devices. This study provides an in-silico conceptual validation for the development of an innovative hyperuniform microchip designed to identify circulating tumor cells (CTCs) without the need for biomarker labeling. We created a cell-based modeling framework to examine CTC dynamics in erythrocyte-laden plasma flow, producing an extensive dataset of CTC trajectories that reflect two distinct CTC phenotypes. Two machine learning architectures were utilized to analyze this dataset and classify the phenotypes. The results demonstrate the potential effectiveness of the hyperuniform micropost MD design and analysis approach in distinguishing between different CTC phenotypes based on cell trajectory, offering a promising and cost-effective method for early cancer detection.

cancer biology↗

Metabolomic and transcriptomic remodeling of bone marrow myeloid cells in response to maternal obesity

Maternal obesity puts the offspring at high risk of developing obesity and cardio-metabolic diseases in adulthood. Here, using a mouse model of maternal high-fat diet (HFD)-induced obesity, we show that whole body fat content of the offspring of HFD-fed mothers (Off-HFD) increases significantly from very early age when compared to the offspring regular diet-fed mothers (Off-RD). We have previously shown significant metabolic and immune perturbations in the bone marrow of newly-weaned offspring of obese mothers. Therefore, we hypothesized that lipid metabolism is altered in the bone marrow Off-HFD in newly-weaned offspring of obese mothers when compared to the Off-RD. To test this hypothesis, we investigated the lipidomic profile of bone marrow cells collected from three-week-old offspring of regular and high fat diet-fed mothers. Diacylgycerols (DAGs), triacylglycerols (TAGs), sphingolipids and phospholipids, including plasmalogen, and lysophospholipids were remarkably different between the groups, independent of fetal sex. Levels of cholesteryl esters were significantly decreased in offspring of obese mothers, suggesting reduced delivery of cholesterol to bone marrow cells. This was accompanied by age-dependent progression of mitochondrial dysfunction in bone marrow cells. We subsequently isolated CD11b+ myeloid cells from three-week-old mice and conducted metabolomics, lipidomics, and transcriptomics analyses. The lipidomic profiles of these bone marrow myeloid cells were largely similar to that seen in bone marrow cells and included increases in DAGs and phospholipids alongside decreased TAGs, except for long-chain TAGs, which were significantly increased. Our data also revealed significant sex-dependent changes in amino acids and metabolites related to energy metabolism. Transcriptomic analysis revealed altered expression of genes related to major immune pathways including macrophage alternative activation, B-cell receptor signaling, TGF{beta} signaling, and communication between the innate and adaptive immune systems. All told, this study revealed lipidomic, metabolomic, and gene expression abnormalities in bone marrow cells broadly, and in bone marrow myeloid cells particularly, in the newly-weaned offspring of obese mothers, which might at least partially explain the progression of metabolic and cardiovascular diseases in their adulthood.

molecular biology↗

Immunojanus Particles for low-volume and isolation-free unlabeled characterization of small Extracellular Vesicle in biofluids: Characterization of disease type by surface marker profiling

Small extracellular vesicles (sEVs) are vital for cellular communication and serve as critical biomarker carriers for diseases such as cancer. However, quantifying and profiling sEV surface markers presents significant challenges due to the low concentration of specific sEV-bound proteins and interference by more abundant dispersed proteins. This paper presents Immunojanus Particles (IJPs), a new method that enables the direct detection of sEVs in less than an hour without isolation. The design of IJPs incorporates fluorescent and non- fluorescent halves, utilizing rotational Brownian motion to detect captured sEVs through the change in the blinking rate, without interference from the smaller dispersed proteins. We demonstrate a detection limit of 2E5 sEVs/mL with low sample volumes and the capability to characterize sEVs directly from plasma, serum, cell culture media, and urine. In a small pilot study involving 87 subjects, including individuals with colorectal cancer, pancreatic ductal adenocarcinoma, glioblastoma, Alzheimers disease, and healthy controls, our method accurately identified the type of disease with a high 0.90-0.99 AUC in a blind setting. Compared with an orthogonal ultracentrifugation plus surface plasmon resonance (UC+SPR) method that requires about 24 hours, the sensitivity and dynamic range of IJP are better by 2 logs.

scientific communication and education↗

ADAM interact with large protein complexes to regulate Histone modification, gene expression and splicing.

Cranial neural crest (CNC) cells are key stem cells that contribute to most of the facial structures in vertebrates. ADAM (A Disintegrin And Metalloprotease) proteins are essential for the induction and migration of the CNC. We have shown that Adam13 associates with the transcription factor Arid3a to regulate gene expression. Here we show that Adam13 modulates Histone modifications in the CNC. We show that Arid3a binding to the tfap2 promoter depends on the presence of Adam13. This association promotes the expression of one tfap2 variant expressed in the CNC that uniquely activates the expression of gene critical for CNC migration. We show that both Adam13 and human ADAM9 associate with proteins involved in histone modification and RNA splicing, a function critically affected by the loss of Adam13. We propose that ADAMs may act as extracellular sensors to modulate chromatin availability, leading to changes in gene expression and splicing.

developmental biology↗

Prediction of Oligomeric Status of Quaternary Protein Structure by using Sequential Minimal Optimization for Support Vector Machine

The prediction of quaternary structure and its function is important in pharmaceutical applications, drug design, medical or engineering applications. With the drastic rise in the number of protein sequences presented to the public database, acquiring an understanding of possible quaternary structural characteristics of their interested proteins in a timely way is essential for structural genomics research. There is a need for a method to identify quaternary attributes based on its amino acid sequence. In this study, discrimination of hetero-oligomer from non hetero-oligomer was demonstrated using amino acid composition implemented using a support vector machine with a minimum sequential optimization technique.

bioinformatics↗

Serum Amyloid P Secreted by Bone Marrow Adipocytes Drives Skeletal Amyloidosis

The accumulation of amyloid fibrils has been identified in tissues outside the brain, yet little is understood about the formation of extracerebral amyloidosis and its impact on the aging process of these organs. Here, we demonstrate that both transgenic mice modeling Alzheimers disease (AD) and naturally aging mice exhibit accumulated senescent bone marrow adipocytes (BMAds), accompanied by amyloid deposits surrounding the BMAds. Senescent BMAds acquire a secretory phenotype, resulting in a marked increase in the secretion of serum amyloid P component (SAP), also known as pentraxin 2 (PTX2). SAP/PTX2 colocalizes with amyloid deposits around senescent BMAds in vivo and is sufficient to promote the formation of insoluble amyloid deposits from soluble A{beta} peptides in in vitro and ex vivo 3D BMAd-based culture experiments. Additionally, Combined treatment with SAP/PTX2 and A{beta} peptides promotes osteoclastogenesis but inhibits osteoblastogenesis of the precursor cells. Transplantation of senescent BMAds into the bone marrow cavity of healthy young mice is sufficient to induce bone loss. Finally, pharmacological depletion of SAP/PTX2 from aged mice abolishes bone marrow amyloid deposition and effectively rescues the low bone mass phenotype. Thus, senescent BMAds, through the secretion of SAP/PTX2, contribute to the age-associated development of skeletal amyloidosis and resultant bone deficits.

cell biology↗