- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Biosensors and Analytical Detection
- Dermatology and Skin Diseases
- Advanced biosensing and bioanalysis techniques
- Error Correcting Code Techniques
- SARS-CoV-2 detection and testing
- Microbial Community Ecology and Physiology
- Skin Protection and Aging
- Face and Expression Recognition
- Neural Networks and Applications
- Cancer Research and Treatments
- Bayesian Methods and Mixture Models
- Single-cell and spatial transcriptomics
- Advanced Image and Video Retrieval Techniques
- Monoclonal and Polyclonal Antibodies Research
- Wireless Communication Security Techniques
- Circadian rhythm and melatonin
- Oral microbiology and periodontitis research
- Blind Source Separation Techniques
- Gene expression and cancer classification
- Machine Learning and Algorithms
- Molecular Biology Techniques and Applications
- Systemic Lupus Erythematosus Research
- Cellular Automata and Applications
Open University of Israel
2015-2024
Toyota Technological Institute at Chicago
2013
Weizmann Institute of Science
2005-2008
Hebrew University of Jerusalem
2002-2005
Bacteria were first detected in human tumors more than 100 years ago, but the characterization of tumor microbiome has remained challenging because its low biomass. We undertook a comprehensive analysis microbiome, studying 1526 and their adjacent normal tissues across seven cancer types, including breast, lung, ovary, pancreas, melanoma, bone, brain tumors. found that each type distinct composition breast particularly rich diverse microbiome. The intratumor bacteria are mostly intracellular...
In model systems, bacteria present in human pancreatic tumors confer resistance to the anticancer drug gemcitabine.
The human fetal immune system begins to develop early during gestation; however, factors responsible for immune-priming remain elusive. We explored potential exposure microbial agents in utero and their contribution toward activation of memory T cells tissues. profiled microbes across organs using 16S rRNA gene sequencing detected low but consistent signal gut, skin, placenta, lungs the 2nd trimester gestation. identified several live bacterial strains including Staphylococcus Lactobacillus...
Most of our knowledge about the remarkable microbial diversity on Earth comes from sequencing 16S rRNA gene. The use next-generation methods has increased sample number and depth, but read length most widely used platforms today is quite short, requiring researcher to choose a subset gene sequence (typically 16–33% total length). Thus, many bacteria may share same amplified region, resolution profiling inherently limited. Platforms that offer ultra-long lengths, whole genome shotgun...
Recent reports suggest that 10 to 30% of severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2) infected patients are asymptomatic and viral shedding may occur before symptom onset. Therefore, there is an urgent need increase diagnostic testing capabilities prevent disease spread. We developed P-BEST, a method for Pooling-Based Efficient SARS-CoV-2 Testing, which identifies all positive subjects within set samples using single round testing. Each sample assigned into multiple pools...
The mouse brain is by far the most intensively studied among mammalian brains, yet basic measures of its cytoarchitecture remain obscure. For example, quantifying cell numbers, and interplay sex, strain, individual variability in density volume out reach for many regions. Allen Mouse Brain Connectivity project produces high-resolution full images hundreds brains. Although these were created a different purpose, they reveal details neuroanatomy cytoarchitecture. Here, we used this population...
Summary Patients with systemic lupus erythematosus (SLE) produce antibodies to many different self‐antigens. Here, we investigated in SLE sera using an antigen microarray containing hundreds of antigens, mostly The aim was detect sets antibody reactivities characteristic patients each various clinical states – acute nephritis, renal remission, and who had never involvement. analysis produced two novel findings: (i) profile persists independently disease activity despite long‐term (ii) this...
Commensal gut bacteria in many species including flies are integral part of their host, and known to influence its development homeostasis within generation. Here we report an unexpected impact host-microbe interactions, which mediates multi-generational, non-Mendelian inheritance a stress-induced phenotype. We have previously shown that exposure fly larvae G418 antibiotic induces transgenerationally heritable phenotypes, delay larval development, gene induction the morphological changes....
Abstract The COVID-19 pandemic is rapidly spreading throughout the world. Recent reports suggest that 10-30% of SARS-CoV-2 infected patients are asymptomatic. Other studies report some subjects have significant viral shedding prior to symptom onset. Since both asymptomatic and pre-symptomatic can spread disease, identifying such individuals critical for effective control pandemic. Therefore, there an urgent need increase diagnostic testing capabilities in order also screen carriers. In fact,...
Identification of rare variants by resequencing is important both for detecting novel variations and screening individuals known disease alleles. New technologies enable low-cost target regions, although it still prohibitive to test more than a few individuals. We propose pooling design that enables the recovery or alleles their carriers in groups The method based on Compressed Sensing (CS) approach, which general, simple efficient. CS allows use generic algorithmic tools simultaneous...
Discrete-input two-dimensional (2D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In spite their widespread use, the workings 2D are still very much unknown. this work, we try to explore properties from perspective estimation theory information theory. At heart our approach is a mapping channel undirected graphical model, inferring its <i xmlns:mml="http://www.w3.org/1998/Math/MathML"...
The emergence of massively parallel sequencing technology has revolutionized microbial profiling, allowing the unprecedented comparison diversity across time and space in a wide range host-associated environmental ecosystems. Although high-throughput nature such methods enables detection low-frequency bacteria, these advances come at cost read length, limiting phylogenetic resolution possible by current methods. Here, we present generic approach for integrating short reads from large genomic...
Abstract Communication provides the basis for social life. In ant colonies, prevalence of local, often chemically mediated, interactions introduces strong links between communication networks and spatial distribution ants. It is, however, unknown how ants identify maintain nest chambers with distinct functions. Here, we combine individual tracking, chemical analysis machine learning to decipher signatures present on multiple surfaces. We evidence several ‘road-signs’ that guide ants’...
We propose a generalized belief propagation (GBP) receiver for two-dimensional (2D) channels with memory, which is applicative to 2D intersymbol interference (ISI) equalization and multiuser detection (MUD). Our experimental study demonstrates that under non-trivial conditions, the performance of this fully tractable GBP almost identical optimal maximum a-posteriori (MAP) receiver.
Systemic lupus erythematosus (SLE) is an autoimmune disease that can attack many different body organs; the triggering event unknown. SLE has been associated with more than 100 autoantibody reactivities - anti-dsDNA prominent. Nevertheless, autoantibodies to dsDNA occur in only two-thirds of patients. We previously reported use antigen microarray characterize serology. now report results expanded study serology patients and scleroderma (SSc) compared healthy controls. The analysis validated...
The paper is about learning using partial information in the form of equivalence constraints. Equivalence constraints provide relational labels data points, rather than themselves. Our work motivated by observation that many real life applications can be obtained with very little cost. For example, video indexing we may want to use fact a sequence faces from successive frames roughly same location likely contain unknown individual. Learning different and poses new technical challenges. In...
Screening large populations for carriers of known or de novo rare single nucleotide polymorphisms (SNPs) is required both in Targeting induced local lesions genomes (TILLING) experiments plants and screening human populations. We previously suggested an approach that combines the mathematical field compressed sensing with next-generation sequencing to allow such large-scale screening. Based on pooled measurements, this method identifies multiple heterozygous homozygous alleles while using...
Abstract Dead Sea climatotherapy (DSC) is a well‐established therapeutic modality for the treatment of several diseases, including atopic dermatitis. Skin microbiome studies have shown that skin diversity anticorrelated with both dermatitis severity and concurrent Staphylococcus aureus overgrowth. This study aimed to determine whether DSC induces changes clinical improvements in We sampled 35 patients ten healthy controls on antecubital popliteal fossa. High‐resolution microbial community...
16S rRNA amplicon sequencing provides a relatively inexpensive culture-independent method for studying microbial communities. Although thousands of such studies have examined diverse habitats, it is difficult researchers to use this vast trove experiments when interpreting their own findings in broader context. To bridge gap, we introduce dbBact - novel pan-microbiome resource. combines manually curated information from across creating collaborative central repository sequence variants...