Biology subjects

Ali, M.

Publications and source records attributed to Ali, M..

At least 73 records · Page 4Linked to original sources

bioRxiv2023

Mutation-specific CAR T cells as precision therapy for IGLV3-21R110 expressing high-risk chronic lymphocytic leukemia

The concept of precision cell therapy targeting tumor-specific mutations is appealing but requires surface-exposed neoepitopes, which is a rarity in cancer. B cell receptors (BCR) of mature lymphoid malignancies are exceptional in that they harbor tumor-specific-stereotyped sequences in the form of point mutations that drive self-engagement of the BCR and autologous signaling. Here, we used a BCR light chain neoepitope defined by a characteristic point mutation (IGLV3-21R110) for selective targeting of a poor-risk subset of chronic lymphocytic leukemia (CLL) with chimeric antigen receptor (CAR) T cells. We developed murine and humanized CAR constructs expressed in T cells from healthy donors and CLL patients that eradicated IGLV3-21R110 expressing cell lines and primary CLL cells, but not polyclonal healthy B cells. In vivo experiments confirmed epitope-selective cytolysis in xenograft models using engrafted IGLV3-21R110 expressing cell lines or primary CLL cells. We further demonstrate in two humanized mouse models lack of cytotoxicity towards human B cells. These data provide the basis for novel avenues of resistance-preventive and biomarker-guided cellular targeting of functionally relevant lymphoma driver mutations sparing normal B cells.

cancer biology↗

bioRxiv2023

Epigenome-wide profiling in the dorsal raphe nucleus highlights cell-type-specific changes in TNXB in Alzheimer's disease

Recent studies have demonstrated that the dorsal raphe nucleus (DRN) is among the first brain regions affected in Alzheimers disease. Hence, in this study we conducted the first comprehensive epigenetic analysis of the DRN in AD, targeting both bulk tissue and single isolated cells. The Illumina Infinium MethylationEPIC BeadChip array was used to analyze the bulk tissue, assessing differentially modified positions (DMoPs) and regions (DMoRs) associated with Braak stage. The strongest Braak stage-associated DMoR in TNXB was targeted in a second patient cohort utilizing single laser-capture microdissected serotonin-positive (5-HT+) and -negative (5-HT-) cells isolated from the DRN. Our study revealed previously identified epigenetic loci, including TNXB and PGLYRP1, and novel loci, including RBMXL2, CAST, GNAT1, MALAT1, and DNAJB13. Strikingly, we found that the methylation profile of TNXB depends both on disease phenotype and cell type analyzed, emphasizing the significance of single cell(-type) neuroepigenetic studies in AD.

neuroscience↗

bioRxiv2023

The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency program

The tissues are the site of many of the most important immunological reactions, yet the immunology of the tissues has remained relatively opaque. Recent studies have identified Foxp3+ regulatory T cells (Tregs) in several non-lymphoid tissues. These tissue-resident populations have been ascribed unique characteristics based on comparisons to lymphoid Tregs. Here we performed a systematic analysis of the Treg population residing in non-lymphoid organs throughout the body, revealing shared phenotypes, transient residency and common molecular dependencies. Further, tissue Tregs from different non-lymphoid organs shared T cell receptor (TCR) sequences, with functional capacity to drive multi-tissue Treg entry. Finally, tissue Tregs extracted from non-lymphoid organs were tissue-agnostic on re-entry, without homing preference for their tissue of origin. Together these results demonstrate that the tissue-resident Treg pool in most non-lymphoid organs, other than the gut, is largely constituted by broadly self-reactive Tregs, characterised by transient multi-tissue migration and a common residency program.

immunology↗

bioRxiv2023

Dysregulated Platelet Function and Thrombosis in Patients with Post-Acute Sequelae of COVID-19

BackgroundPost-acute sequelae of COVID-19 (PASC), also referred as Long-COVID, sometimes follows COVID-19, a disease caused by SARS-CoV-2. While SARS-CoV-2 is well-known to promote a prothrombotic state, less is known about the thrombosis risk in PASC. AimOur objective was to evaluate the platelet function and thrombotic potential in patients following recovery from SARS-CoV-2 with clear symptoms of PASC. MethodsPASC patients and matched healthy controls were enrolled in the study on average 15 months after documented SARS-CoV-2 infection. Platelet activation was evaluated by Light Transmission Aggregometry (LTA) and flow cytometry in response to platelet surface receptor agonists. Thrombosis in platelet-deplete plasma was evaluated by Factor Xa activity. A microfluidics system assessed thrombosis in whole blood under shear stress conditions. ResultsA mild increase in platelet aggregation in PASC patients through the thromboxane receptor was observed and platelet activation through the glycoprotein VI (GPVI) receptor was decreased in PASC patients compared to age- and sex-matched healthy controls. Thrombosis under shear conditions as well as Factor Xa activity were reduced in PASC patients. Plasma from PASC patients was an extremely potent activator of washed, healthy platelets - a phenomenon not observed when stimulating healthy platelets after incubation with plasma from healthy individuals. ConclusionsPASC patients show dysregulated responses in platelets and coagulation in plasma, likely caused by a circulating molecule that promotes thrombosis. A hitherto undescribed protective response appears to exists in PASC patients to counterbalance ongoing thrombosis that is common to SARS-CoV-2 infection.

pharmacology and toxicology↗

bioRxiv2023

Harmonization of CSF and imaging biomarkers for Alzheimer's disease biomarkers: need and practical applications for genetics studies and preclinicalclassification

INTRODUCTIONIn Alzheimers disease (AD) research, cerebrospinal fluid (CSF) Amyloid beta (A{beta}), Tau and pTau are the most accepted and well validated biomarkers. Several methods and platforms exist to measure those biomarkers which leads to challenges in combining data across studies. Thus, there is a need to identify methods that harmonize and standardize these values. METHODSWe used a Z-score based approach to harmonize CSF and amyloid imaging data from multiple cohorts and compared GWAS result using this method with currently accepted methods. We also used a generalized mixture modelling to calculate the threshold for biomarker-positivity. RESULTSZ-scores method performed as well as meta-analysis and did not lead to any spurious results. Cutoffs calculated with this approach were found to be very similar to those reported previously. DISCUSSIONThis approach can be applied to heterogeneous platforms and provides biomarker cut-offs consistent with the classical approaches without requiring any additional data.

bioinformatics↗

bioRxiv2023

Tomato CYP94C1 terminates jasmonate signaling during fruit ripening by inactivating bioactive jasmonoyl-L-isoleucine

Ripe fruits are more susceptible to necrotrophic pathogens than unripe fruits. Although this phenomenon is widespread across different fruit species and results in substantial economic losses, the underlying mechanism is still poorly understood. Previous studies revealed that ethylene (ET) is a key signal controlling climacteric fruit ripening and that jasmonate (JA) regulates plant resistance to necrotrophs. We investigated the function of tomato cytochrome P450 94 (CYP94) family genes in JA signaling and report here that ET-mediated ripening suppresses JA-mediated defense by promoting the deactivation of bioactive JA-Ile. ETHYLENE-INSENSITIVE 3 (EIN3)/EIN3-LIKE (EIL) transcription factors directly activated CYP94C1 to convert JA-Ile to its inactive form 12-COOH-JA-Ile, thereby terminating JA signaling during fruit ripening. Mutation of CYP94C1 led to increased resistance of ripe fruits to the necrotrophic pathogen Botrytis cinerea without affecting the ripening process. Additionally, the master transcription factor MYC2 directly activated two other CYP94 members CYP94B1 and CYP94B2 to convert JA-Ile to its less active form 12-OH-JA-Ile, thereby attenuating JA signaling in wounded leaves. Simultaneous mutation of CYP94B1 and CYP94B2 increased the resistance of leaves to B. cinerea. Thus, differences in the expression and enzymatic activities of CYP94 family gene members precisely control JA-mediated defense responses in tomato.

plant biology↗

bioRxiv2023

SARS-CoV-2 Spike Protein Accumulation in the Skull-Meninges-Brain Axis: Potential Implications for Long-Term Neurological Complications in post-COVID-19

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), has been associated mainly with a range of neurological symptoms, including brain fog and brain tissue loss, raising concerns about the viruss acute and potential chronic impact on the central nervous system. In this study, we utilized mouse models and human post-mortem tissues to investigate the presence and distribution of the SARS-CoV-2 spike protein in the skull-meninges-brain axis. Our results revealed the accumulation of the spike protein in the skull marrow, brain meninges, and brain parenchyma. The injection of the spike protein alone caused cell death in the brain, highlighting a direct effect on brain tissue. Furthermore, we observed the presence of spike protein in the skull of deceased long after their COVID-19 infection, suggesting that the spikes persistence may contribute to long-term neurological symptoms. The spike protein was associated with neutrophil-related pathways and dysregulation of the proteins involved in the PI3K-AKT as well as complement and coagulation pathway. Overall, our findings suggest that SARS-CoV-2 spike protein trafficking from CNS borders into the brain parenchyma and identified differentially regulated pathways may present insights into mechanisms underlying immediate and long-term consequences of SARS-CoV-2 and present diagnostic and therapeutic opportunities. Graphical Summary O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/535604v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@b223eforg.highwire.dtl.DTLVardef@15539e9org.highwire.dtl.DTLVardef@4d17a9org.highwire.dtl.DTLVardef@14c63af_HPS_FORMAT_FIGEXP M_FIG C_FIG Short SummaryThe accumulation of SARS-CoV-2 spike protein in the skull-meninges-brain axis presents potential molecular mechanisms and therapeutic targets for neurological complications in long-COVID-19 patients.

neuroscience↗

bioRxiv2023

Vascular oxidative stress causes neutrophil arrest in brain capillaries, leading to decreased cerebral blood flow and contributing to memory impairment in a mouse model of Alzheimer's disease

INTRODUCTIONIn this study, we explore the role of oxidative stress produced by NOX2-containing NADPH oxidase as a molecular mechanism causing capillary stalling and cerebral blood flow deficits in the APP/PS1 mouse model of AD. METHODSWe inhibited NOX2 in APP/PS1 mice by administering a 10 mg/kg dose of the peptide inhibitor gp91-ds-tat i.p., for two weeks. We used in vivo two-photon imaging to measure capillary stalling, penetrating arteriole flow, and vascular inflammation. We also characterized short-term memory function and gene expression changes in cerebral microvessels. RESULTSWe found that after NOX2 inhibition capillary stalling, as well as parenchymal and vascular inflammation, were significantly reduced. In addition, we found a significant increase in penetrating arteriole flow, followed by an improvement in short-term memory, and downregulation of inflammatory gene expression pathways. DISCUSSIONOxidative stress is a major mechanism leading to microvascular dysfunction in AD, and represents an important therapeutic target.

neuroscience↗

bioRxiv2022

Perception and Readiness Towards Inter-Professional Education Among Different Health Care Disciplines at Khyber Medical University Peshawar

Interprofessional learning (IPL) is an approach that teaches students diverse disciplines to communicate with each other about their professional knowledge in order to acquire a more complex one understanding of the current situation. According to WHO definition of IPE "its a process between two or more professionals learn about from, and with one another to permit effective association and enhance health outcome. The aim of this study was to measure perception and readiness towards IPE among different health care disciplines. A cross-sectional study was done with two hundred and eighteen post graduate Nursing, public health, physiotherapy, and basic medical sciences students from September,2020 to January,2021 at Khyber Medical University Peshawar Pakistan. Convenient sampling technique was used to collect data. The Readiness for Inter-Professional Learning Scale (RIPLS) and Interdisciplinary Education Perception Scale (IEPS) were used to measure the readiness and perception of students regarding inter-professional leaning. The data were analyzed using software Statistical Package for Social Science (SPSS) (Version 23). The RIPLS was completed by a total of 218 participants (response rate 100%, 61 Nursing students 28%, 51 physiotherapy students 23.4%, 53 public health students 24.3%, and 53 basic medical sciences students 24.3%). As shown in Table 1.1, the majority of respondents were male (51.4%) followed by female (48.6%). Most of the respondents were aged with a mean score of 27.92 {+/-} 3.195. Moreover, majority of respondents have experience less than 5years (75.2%) and (22.8%) has experience above than 5years. Value of perception and readiness in Shapiro-Wilk is .000 which shows that the data variable is not normally distributed. correlation of students towards interprofessional learning by applying Spearman rho test. Students perception has strong positive correlation with their readiness, p value (.000). Also students readiness has strong positive correlation with their perception towards interprofessional learning. This study was to explore the readiness and perception of students towards interprofessional education in different health care students. IPL is beneficial for students to know other professionals to work together for teamwork and collaboration and it also increase communication between different health care professional and patients.

scientific communication and education↗

bioRxiv2022

Graph neural networks learn emergent tissue properties from spatial molecular profiles

Tissue phenotypes such as metabolic states, inflammation, and tumor properties are functions of molecular states of cells that constitute the tissue. Recent spatial molecular profiling assays measure tissue architecture motifs in a molecular and often unbiased way and thus can explain some aspects of emergence of these phenotypes. Here, we characterize the ability of graph neural networks to model tissue-level emergent phenotypes based on spatial data by evaluating phenotype prediction across model complexities. First, we show that immune cell dispersion in colorectal tumors, which is known to be predictive of disease outcome, can be captured by graph neural networks. Second, we show that breast cancer tumor classes can be predicted from gene expression alone without spatial information and are thus too simplistic a phenotype to require a complex model of emergence. Third, we show that representation learning approaches for spatial graphs of molecular profiles are limited by overfitting in the prevalent regime of up to 100s of images per study. We address overfitting with within-graph self-supervision and illustrate its promise for tissue representation learning as a constraint for node representations.

bioinformatics↗

bioRxiv2022

The Role of the 3-Dimensional Genome in New Gene Evolution

Previous evolutionary models of duplicate gene evolution have overlooked the pivotal role of genome architecture. Here, we show that proximity-based regulatory recruitment of distally duplicated genes (enhancer capture) is an efficient mechanism for modulating tissue-specific production of pre-existing proteins. By leveraging genomic asymmetries in synteny and function that distinguish new genes evolving under enhancer capture-divergence (ECD) from those evolving under previous models, we performed a co-expression analysis on Drosophila melanogaster tissue data to show the generality of ECD as a significant evolutionary driver of asymmetric, distally duplicated genes. We use the recently evolved gene HP6/Umbrea, which duplicated <15 million years ago (mya), as an example of the ECD process. By assaying genome-wide chromosomal conformations in multiple Drosophila species, we show that HP6/Umbrea was inserted into a pre-existing, evolutionarily stable 3D genomic structure spanning over 125kb. We then utilize this data to identify a newly discovered enhancer (FLEE1), buried within the coding region of the highly conserved, essential gene MFS18, that likely neo-functionalized HP6/Umbrea, thereby driving the new duplicate gene copy to fixation. Finally, we demonstrate ancestral transcriptional co-regulation of HP6/Umbreas future insertion site using single-cell transcriptomics, illustrating how enhancer capture provides a highly evolvable, one-step solution to Ohnos Dilemma. The intuitive molecular mechanism underpinning the ECD model unveils a novel and robust framework to understand the fixation and neofunctionalization of distally duplicated genes.

evolutionary biology↗

bioRxiv2022

Development and Evolution of Drosophila Chromatin Landscape in a 3D genome context

Chromatin states of genes and transposable elements (TEs) dictated by combinations of various histone modifications comprise key information for understanding the mechanisms of genome organization and regulation. However, little is known about the principles of their dynamic changes during development and evolution in a three-dimensional genome context. To address this, we study Drosophila pseudoobscura, a Drosophila model species that diverged from D. melanogaster about 25 million years ago. We collected 71 epigenomic datasets targeting 11 histone modification marks and 4 Hi-C datasets, and projected 15 chromatin states across four different developmental stages and two adult tissues. We estimate that before zygotic genome activation, 41% of the genome has already been deposited with histone modifications, while 20% of the rest genome switches from a null state to an active/inactive chromatin state after the zygotic genome activation. Over two thirds of the genomic region exhibit at least one transition between different chromatin states during development. And such transitions on cis-regulatory regions are associated with tissue- or stage-specific formation of chromatin loops or topologically associated domain borders (TABs), as well as specific activation of gene expression. We further demonstrate that while evolutionarily young TEs are preferentially targeted by silencing histone modifications, old TEs are more frequently domesticated as TABs or specific enhancers that further contribute to the genome organization or local gene regulation. Interestingly, this trend is reversed on the newly evolved X chromosome in D. pseudoobscura, due to the acquisition of dosage compensation mechanism. Overall we characterize the developmental and evolutionary dynamics of Drosophila epigenomic states, and highlight the roles of certain TEs of different evolutionary ages in genome organization and regulation.

evolutionary biology↗

bioRxiv2022

Comparative multi-OMICS single-cell atlas of five COVID-19 (rAdVV and mRNA) vaccines describe unique and distinct mechanisms of action

COVID-19 vaccines based on a range of expression platforms have shown considerable protective efficacy, generating antibody and T cell immune responses. However, molecular pathways underpinning COVID-19 vaccine priming of immunity against the SARS-CoV-2 virus have not yet been explored extensively. This analysis is critical to optimization of future vaccination strategies, schedules, and combinations. Thus, we investigated a cohort of individuals pre- and post-vaccination to understand the humoral and cellular immune response against different COVID-19 vaccines, including recombinant adenoviral vector (rAdVV) and mRNA-based vaccines. Single-cell RNA sequencing allowed characterization of monocytes, T, NK and B cell activation at the transcriptomics/proteomic level, in response to different COVID-19 vaccines. Our data revealed that different COVID-19 vaccines elicit a unique and distinct mechanism of action. Specifically, we revealed that rAdVV vaccines negatively regulate CD4+ T cell activation, leukocytes chemotaxis, IL-18 signalling and antigen presentation by monocytes whilst mRNA vaccines positively regulate NKT cell activation, platelets activation and chemokine signalling pathways. An antigen-specific T cell response was already observed following the 1st vaccine dose and was not further augmented after the subsequent 2nd dose of the same vaccine and it was dependent on the type of vaccination used. Our integrated three layered-analyses highlights that COVID-19 vaccines evoke a strong but divergent immune response at the RNA, protein, and cellular levels. Our approach is able to pinpoint efficacy and mechanisms controlling immunity to vaccination and open the door for better vaccination which could induce innate and adaptive immunity equally in the long term. Key findingsO_LIDecrease in major three cell types classical and non-classical monocytes and NK type III cells after COVID-19 vaccination C_LIO_LIIndividual vaccination (AZ, JJ, MD, PB) has differential effect on various immune cell subsets and regulates unique cell populations, whilst no change was observed for CV vaccination C_LIO_LIrAdVV and mRNA vaccines have different mechanism of action for activation of lymphocytes and monocytes, respectively C_LIO_LIrAdVV vaccines negatively regulates CD4+ T cell activation, leukocytes chemotaxis, IL-18 signalling and antigen presentation whilst mRNA vaccines positively regulate NKT cell activation, platelets activation and chemokine signalling pathways. C_LIO_LIAn antigen-specific T cell response was prompted after the 1st vaccine dose and not augmented after the subsequent 2nd dose of the same vaccine. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=107 SRC="FIGDIR/small/507666v1_ufig1.gif" ALT="Figure 1"> View larger version (59K): org.highwire.dtl.DTLVardef@11fd7eborg.highwire.dtl.DTLVardef@198a9c7org.highwire.dtl.DTLVardef@1b28735org.highwire.dtl.DTLVardef@1cadbb5_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2022

Large-scale phage-based screening reveals extensive pan-viral mimicry of host short linear motifs

Viruses mimic host short linear motifs (SLiMs) to hijack and deregulate cellular functions. Studies of motif-mediated interactions therefore provide insight into virus-host dependencies, and reveal targets for therapeutic intervention. Here, we describe the pan-viral discovery of 1,712 SLiM-based virus-host interactions using a phage peptidome tiling the intrinsically disordered protein regions of 229 RNA viruses. We find mimicry of host SLiMs to be a ubiquitous viral strategy, reveal novel host proteins hijacked by viruses, and identify cellular pathways frequently deregulated by viral motif mimicry. Using structural and biophysical analyses, we show that viral mimicry-based interactions have similar binding strength and bound conformations as endogenous interactions. Finally, we establish polyadenylate-binding protein 1 as a potential target for broad-spectrum antiviral agent development. Our platform enables rapid discovery of mechanisms of viral interference and the identification of potential therapeutic targets which can aid in combating future epidemics and pandemics.

biochemistry↗

bioRxiv2021

Multi-omics and 3D-imaging reveal bone heterogeneity and unique calvaria cells in neuroinflammation

The meninges of the brain are an important component of neuroinflammatory response. Diverse immune cells move from the calvaria marrow into the dura mater via recently discovered skull-meninges connections (SMCs). However, how the calvaria bone marrow is different from the other bones and whether and how it contributes to human diseases remain unknown. Using multi-omics approaches and whole mouse transparency we reveal that bone marrow cells are highly heterogeneous across the mouse body. The calvaria harbors the most distinct molecular signature with hundreds of differentially expressed genes and proteins. Acute brain injury induces skull-specific alterations including increased calvaria cell numbers. Moreover, TSPO-positron-emission-tomography imaging of stroke, multiple sclerosis and neurodegenerative disease patients demonstrate disease-associated uptake patterns in the human skull, mirroring the underlying brain inflammation. Our study indicates that the calvaria is more than a physical barrier, and its immune cells may present new ways to control brain pathologies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/473988v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@978194org.highwire.dtl.DTLVardef@bc45e8org.highwire.dtl.DTLVardef@91afdborg.highwire.dtl.DTLVardef@b06bc6_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIBone marrow across the mouse body display heterogeneity in their molecular profile C_LIO_LICalvaria cells have a distinct profile that is relevant to brain pathologies C_LIO_LIBrain native proteins are identified in calvaria in pathological states C_LIO_LITSPO-PET imaging of the human skull can be a proxy of neuroinflammation in the brain C_LI Supplementary Videos can be seen at: http://discotechnologies.org/Calvaria/

cell biology↗

bioRxiv2021

High-throughput UHPLC-MS to screen metabolites in feces for gut metabolic health

(1) BackgroundFeces are the product of our diets and have been linked to diseases of the gut, including Chrons disease and metabolic diseases such as diabetes. For screening metabolites in heterogeneous samples such as feces, it is necessary to use fast and reproducible analytical methods that maximize metabolite detection. (2) MethodsAs sample preparation is crucial to obtain high quality data in MS-based clinical metabolomics, we developed a novel, efficient and robust method for preparing fecal samples for analysis with a focus in reducing aliquoting and detecting both polar and non-polar metabolites. Fecal samples (n= 475) from patients with alcohol-related liver disease and healthy controls were prepared according to the proposed method and analyzed in an UHPLC-QQQ targeted platform in order to obtain a quantitative profile of compounds that impact liver-gut axis metabolism. (3) ResultsMS analyses of the prepared fecal samples have shown reproducibility and coverage of n=28 metabolites, mostly comprising bile acids and amino acids. We report metabolite-wise relative standard deviation (RSD) in quality control samples, inter-day repeatability, LOD, LOQ and range of linearity. The average concen-trations for 135 healthy participants are reported here for clinical applications. (4) Conclusionsour high-throughput method provides an efficient tool for investigating gut-liver axis metabolism in liver-related diseases using a noninvasive collected sample.

biochemistry↗

bioRxiv2021

Design of novel specific primers for helicobacter detection with diagnostic utility evaluation of different 16srRNA genus-specific primers: A comparative study

Molecular diagnosis of helicobacters by PCR is simpler, more accurate, and feasible compared to other diagnostic methods. Validity and accuracy are highly dependent on the PCR primer design, diffusion time, and mutation rate of helicobacters. This study aimed to design 16srRNA -specific primers for Helicobacter spp. and H. pylori. Application of comparative statistical analysis of the diagnostic utility of the most available 16srRNA genus-specific primers. The new primers were designed using bioinformatics tools (MAFFT MSA and Gblocks command line). A comparative study was applied on nine genus-specific 16srRNA primers in comparison to the ConsH using Insilco and laboratory evaluation. The results demonstrated that the best specificity and sensitivity of the primers designed for this study compared to other primers. The comparative study revealed that the heminested outer/inner primers were the worst. Although H276,16srRNA(a), HeliS/Heli-nest, and Hcom had acceptable diagnostic utility, false positive and false negative results were obtained. Specificity testing on clinical samples indicated a surprising result; that H. pylori was not the sole enemy that we were looking for, but the NPH should be considered as a real risk prognostic for gastric diseases, consequently, a specific diagnosis and treatment should be developed. This study concluded that our designed primers were the most specific and sensitive in comparison with other primers. in addition, Insilco evaluation is not accurate enough for primer assessment and that the laboratory evaluation is mandatory.

molecular biology↗

bioRxiv2021

Proteomics of spatially identified tissues in whole organs

Spatial molecular profiling of complex tissues is essential to investigate cellular function in physiological and pathological states. However, methods for molecular analysis of biological specimens imaged in 3D as a whole are lacking. Here, we present DISCO-MS, a technology combining whole-organ imaging, deep learning-based image analysis, and ultra-high sensitivity mass spectrometry. DISCO-MS yielded qualitative and quantitative proteomics data indistinguishable from uncleared samples in both rodent and human tissues. Using DISCO-MS, we investigated microglia activation locally along axonal tracts after brain injury and revealed known and novel biomarkers. Furthermore, we identified initial individual amyloid-beta plaques in the brains of a young familial Alzheimers disease mouse model, characterized the core proteome of these aggregates, and highlighted their compositional heterogeneity. Thus, DISCO-MS enables quantitative, unbiased proteome analysis of target tissues following unbiased imaging of entire organs, providing new diagnostic and therapeutic opportunities for complex diseases, including neurodegeneration. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/466753v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1e37035org.highwire.dtl.DTLVardef@dbaa98org.highwire.dtl.DTLVardef@19cece1org.highwire.dtl.DTLVardef@183c032_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIDISCO-MS combines tissue clearing, whole-organ imaging, deep learning-based image analysis, and ultra-high sensitivity mass spectrometry C_LIO_LIDISCO-MS yielded qualitative and quantitative proteomics data indistinguishable from fresh tissues C_LIO_LIDISCO-MS enables identification of rare pathological regions & their subsequent molecular analysis C_LIO_LIDISCO-MS revealed core proteome of plaques in 6 weeks old Alzheimer s disease mouse model Supplementary Video can be seen at: http://discotechnologies.org/DISCO-MS/ C_LI

bioengineering↗