Institute for Systems Biology

About: Institute for Systems Biology is a nonprofit organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Population & Proteomics. The organization has 1277 authors who have published 2777 publications receiving 353165 citations.

Magnitude and Dynamics of the T-Cell Response to SARS-CoV-2 Infection at Both Individual and Population Levels

Abstract: T cells are involved in the early identification and clearance of viral infections and also support the development of antibodies by B cells. This central role for T cells makes them a desirable target for assessing the immune response to SARS-CoV-2 infection. Here, we combined two high-throughput immune profiling methods to create a quantitative picture of the T-cell response to SARS-CoV-2. First, at the individual level, we deeply characterized 3 acutely infected and 58 recovered COVID-19 subjects by experimentally mapping their CD8 T-cell response through antigen stimulation to 545 Human Leukocyte Antigen (HLA) class I presented viral peptides (class II data in a forthcoming study). Then, at the population level, we performed T-cell repertoire sequencing on 1,815 samples (from 1,521 COVID-19 subjects) as well as 3,500 controls to identify shared "public" T-cell receptors (TCRs) associated with SARS-CoV-2 infection from both CD8 and CD4 T cells. Collectively, our data reveal that CD8 T-cell responses are often driven by a few immunodominant, HLA-restricted epitopes. As expected, the T-cell response to SARS-CoV-2 peaks about one to two weeks after infection and is detectable for at least several months after recovery. As an application of these data, we trained a classifier to diagnose SARS-CoV-2 infection based solely on TCR sequencing from blood samples, and observed, at 99.8% specificity, high early sensitivity soon after diagnosis (Day 3-7 = 85.1% [95% CI = 79.9-89.7]; Day 8-14 = 94.8% [90.7-98.4]) as well as lasting sensitivity after recovery (Day 29+/convalescent = 95.4% [92.1-98.3]). These results demonstrate an approach to reliably assess the adaptive immune response both soon after viral antigenic exposure (before antibodies are typically detectable) as well as at later time points. This blood-based molecular approach to characterizing the cellular immune response has applications in clinical diagnostics as well as in vaccine development and monitoring.

A stop codon polymorphism of Toll-like receptor 5 is associated with resistance to systemic lupus erythematosus

Abstract: Systemic lupus erythematosus (SLE) is an autoimmune disease with a complex genetic basis that includes susceptibility gene(s) within the chromosome 1q41–1q42 region. Toll-like receptor 5 (TLR5), the innate immune receptor for bacterial flagellin, maps to chromosome 1q41 and contains a common stop codon polymorphism that abrogates signaling (allele C1174T) and is associated with an increased risk of infection. By using transmission disequilibrium testing in a cohort containing 199 affected patients and their 75 unaffected siblings and 326 parents, we found that allele 1174C, but not 1174T (with the stop codon), was preferentially transmitted to SLE-affected offspring (a 19:6 transmitted/not transmitted ratio, P = 0.009). In contrast, the alleles of the other three TLR5 SNPs did not exhibit preferential transmission. In addition, we found that allele 1174C was not preferentially transmitted to unaffected offspring (3:6 transmitted/not transmitted ratio, P value not significant). The allele frequency of 1174T in the probands was 3.2% compared with 5.8% in unaffected individuals, which was consistent with a protective association (odds ratio, 0.51; 95% confidence interval, 0.26–0.98; P = 0.041). Subjects with the TLR5 stop codon produced significantly lower levels of proinflammatory cytokines in comparison with individuals with the wild-type genotype. Together, these results indicate that the TLR5 stop codon polymorphism is associated with protection from the development of SLE. These data support a role for flagellated bacteria and the innate immune response in the development of SLE with implications for novel immunomodulatory treatment strategies.

Systems biology of innate immunity.

Abstract: Systems biology is the comprehensive and quantitative analysis of the interactions between all of the components of biological systems over time. Systems biology involves an iterative cycle, in which emerging biological problems drive the development of new technologies and computational tools. These technologies and tools then open new frontiers that revolutionize biology. Innate immunity is well suited for systems analysis, because the relevant cells can be isolated in various functional states and their interactions can be reconstituted in a biologically meaningful manner. Application of the tools of systems biology to the innate immune system will enable comprehensive analysis of the complex interactions that maintain the difficult balance between host defense and inflammatory disease. In this review, we discuss innate immunity in the context of the systems biology concepts, emergence, robustness, and modularity, and we describe emerging technologies we are applying in our systems-level analyses. These technologies include genomics, proteomics, computational analysis, forward genetics screens, and analyses that link human genetic polymorphisms to disease resistance.

Proteomic and genomic characterization of chromatin complexes at a boundary

Abstract: We have dissected specialized assemblies on the Saccharomyces cerevisiae genome that help define and preserve the boundaries that separate silent and active chromatin. These assemblies contain characteristic stretches of DNA that flank particular regions of silent chromatin, as well as five distinctively modified histones and a set of protein complexes. The complexes consist of at least 15 chromatin-associated proteins, including DNA pol e, the Isw2-Itc1 and Top2 chromatin remodeling proteins, the Sas3-Spt16 chromatin modifying complex, and Yta7, a bromodomain-containing AAA ATPase. We show that these complexes are important for the faithful maintenance of an established boundary, as disruption of the complexes results in specific, anomalous alterations of the silent and active epigenetic states.