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Status |
Public on Jul 01, 2020 |
Title |
ATAC-seq analysis of immune responses from bone marrow derived dendritic cells stimulated with 7 pattern recognition receptor (PRR) ligands along with their pairwise and triplet combinations |
Organism |
Mus musculus |
Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
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Summary |
The immune system makes decisions in response to combinations of multiple microbial inputs. We do not understand the combinatorial logic governing how higher-order combinations of microbial signals shape immune responses. Here, using coculture experiments and statistical analyses, we discover a general property for the combinatorial sensing of microbial signals, whereby the effects of triplet combinations of microbial signals on immune responses can be predicted by combining the effects of single and pairs. Mechanistically, we find that singles and pairs dictate the information signaled by triplets in mouse and human DCs at the levels of transcription, chromatin and protein secretion. We exploit this simplifying property to develop cell-based immunotherapies prepared with adjuvant combinations that trigger protective responses in mouse models of cancer. We conclude that the processing of multiple input signals by innate immune cells is governed by pairwise effects, which will inform the rationale combination of adjuvants to manipulate immunity.
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Overall design |
Genome wide chromatin accessbility profiles of mouse bone marrow derived dendritic cells stimulated for 6 hours with 3 random triplet PRR ligand combinations and their constituting single and pair ligand combinations generated by ATAC-seq in duplicates using illumina NextSeq 550
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Contributor(s) |
Chevrier N, Pandey S |
Citation missing |
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Submission date |
Jul 25, 2019 |
Last update date |
Oct 03, 2020 |
Contact name |
Nicolas Chevrier |
E-mail(s) |
nchevrier@uchicago.edu
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Organization name |
The University of Chicago
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Department |
Pritzker School of Molecular Engineering
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Lab |
Nicolas Chevrier
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Street address |
5640 South Ellis Avenue
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City |
Chicago |
State/province |
Illinois |
ZIP/Postal code |
60637 |
Country |
USA |
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Platforms (1) |
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Samples (36)
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Relations |
BioProject |
PRJNA556659 |
SRA |
SRP216388 |