The immune map of human body
This study comprehensively mapped over 1000 cell states for major immune cell types across 30 human tissues, revealing tissue-specific immunity and sex/age-related differences.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This study compiled single-cell deconvolution analyses of 17,382 RNA-seq samples spanning 30 human tissues to build an immune cell state map capturing distributions of over 1,000 cell states across major immune cell types. The resulting high-resolution immune landscape covers both sexes and a wide age range and was used to assess sex-related and age-related immune differences, including similarity analyses that highlight tissue-specific immunity in organs such as testis, liver, lung, brain, and kidney. A key caveat is that the map is derived from computational deconvolution of RNA-seq data rather than direct single-cell measurements across all tissues in the same experimental pipeline. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
Abstract
Full text
1,009 characters
· extracted from
oa-doi-fallback
· click to expand
Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.
My notes (saved in your browser only)
Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00