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Mapping Immune Responses In Acute Infection Across Multiple Pathogens by Proteomics and CITESeq

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE202150
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We used two novel, and previously optimized, analytical approaches, CITE-Seq and Quantitative Phopho-Proteomics, to perform detailed and cohesive characterization of the same paired PBMC and sera samples collected from patients at the acute and convalescent phases of infection with different microbial pathogens. Samples were processed in four batches of 20-24 samples, each of which contained sets of all longitudinal samples for a given subject and subjects sampled from each infection cohort to minimize any coinciding batch effects between time points and infection groups. Each batch also contained replicate aliquots of two healthy donor PBMC samples to bridge across batches. Please note that each processed data was generated from a set of three samples (*_A, *_G, and *_H) and is linked to the corresponding [ADT-derived cDNA] sample records.
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2025-05-01
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