Peer-reviewedCC BY 4.0Nature Communications
Whole blood transcriptomics atlas across human diseases
Abstract
We present a WBT Atlas, comprising 4444 WBT samples across 98 distinct health conditions, enabling systematic exploration of disease-associated transcriptomic signatures. Health condition–specific profiles are characterized across immune, metabolic, and cell-type specific features at the gene, gene module, and pathway levels. By integrating matched plasma proteomics data from 1280 participants across 28 health conditions, we further assess blood RNA–protein relationships and demonstrate their complementary biological roles. By integrating RNA and protein signatures, we develop multi-class classification models that accurately distinguish among a wide range of health conditions, with integrated models consistently outperforming those based on single-omics data alone. The identified RNA and protein signatures are validated across ten independent WBT cohorts and the UK Biobank. Together, the WBT Atlas provides a genome-wide resource that enables translational discovery in precision medicine.
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BibTeX
@article{li2026whole,
title = {{Whole blood transcriptomics atlas across human diseases}},
author = {Mengzhen Li and Abdulgani Tatar and Emre Green and Ebru Simsek and Cigdem Yuce Kahraman and Mustafa Ceylan and Fuat Laloglu and Naci Ceviz and Arzu Tatar and Esra Laloglu and Gungor Akcay and Kenan Cadirci and Omer Erkan Yapca and Hilal Kiziltunc Ozmen and Turgut Yapanoglu and Ozlem Kudas and Fatma Simsek and Emsal Pinar Topdagi Yılmaz and Gamze Nur Cimilli Senocak and Hakan Doneray and Ayse Ozden and Atilla Cayir and Pinar Tosun Tasar and Mustafa Kara and Yunus Emre Aktaş and Mursel Karadavut and Busra Akpinar and Eyup Serhat Calik and Bilgehan Erkut and Mufide Akcay and Erdem Karadeniz and Murat Kartal and Esra Disci and Mehmet Ilhan Yildirgan and Sabri Selcuk Atamanalp and Rifat Peksoz and Yavuz Albayrak and Atilla Eroglu and Yener Aydın and Sultan Tuna Akgol Gur and Mevlana Gul and Erdal Tekin and Ali Bilal Ulas and Eyup Senocak and Ahmet Emre Paksoy and Ayse Sena Donmez and Mehmet Cenk Turgut and Ozgur Ozmen and Fatih Alper and Hasan Abbas Guliyev and Bulent Albayrak and Emine Cinici and Ibrahim Kocer and Esat Fahri Aydın and Nazim Dogan and Yahya Gul and Ugur Kaya and Yunus Emre Topdagi and Yakup Kumtepe and Aysenur Dostbil},
journal = {Nature Communications},
year = {2026},
month = oct,
doi = {10.1038/s41467-026-78440-w},
url = {https://www.nature.com/articles/s41467-026-78440-w},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Whole blood transcriptomics atlas across human diseases
AU - Mengzhen Li
AU - Abdulgani Tatar
AU - Emre Green
AU - Ebru Simsek
AU - Cigdem Yuce Kahraman
AU - Mustafa Ceylan
AU - Fuat Laloglu
AU - Naci Ceviz
AU - Arzu Tatar
AU - Esra Laloglu
AU - Gungor Akcay
AU - Kenan Cadirci
AU - Omer Erkan Yapca
AU - Hilal Kiziltunc Ozmen
AU - Turgut Yapanoglu
AU - Ozlem Kudas
AU - Fatma Simsek
AU - Emsal Pinar Topdagi Yılmaz
AU - Gamze Nur Cimilli Senocak
AU - Hakan Doneray
AU - Ayse Ozden
AU - Atilla Cayir
AU - Pinar Tosun Tasar
AU - Mustafa Kara
AU - Yunus Emre Aktaş
AU - Mursel Karadavut
AU - Busra Akpinar
AU - Eyup Serhat Calik
AU - Bilgehan Erkut
AU - Mufide Akcay
AU - Erdem Karadeniz
AU - Murat Kartal
AU - Esra Disci
AU - Mehmet Ilhan Yildirgan
AU - Sabri Selcuk Atamanalp
AU - Rifat Peksoz
AU - Yavuz Albayrak
AU - Atilla Eroglu
AU - Yener Aydın
AU - Sultan Tuna Akgol Gur
AU - Mevlana Gul
AU - Erdal Tekin
AU - Ali Bilal Ulas
AU - Eyup Senocak
AU - Ahmet Emre Paksoy
AU - Ayse Sena Donmez
AU - Mehmet Cenk Turgut
AU - Ozgur Ozmen
AU - Fatih Alper
AU - Hasan Abbas Guliyev
AU - Bulent Albayrak
AU - Emine Cinici
AU - Ibrahim Kocer
AU - Esat Fahri Aydın
AU - Nazim Dogan
AU - Yahya Gul
AU - Ugur Kaya
AU - Yunus Emre Topdagi
AU - Yakup Kumtepe
AU - Aysenur Dostbil
PY - 2026
DA - 2026/10/12
JO - Nature Communications
DO - 10.1038/s41467-026-78440-w
UR - https://www.nature.com/articles/s41467-026-78440-w
AB - We present a WBT Atlas, comprising 4444 WBT samples across 98 distinct health conditions, enabling systematic exploration of disease-associated transcriptomic signatures. Health condition–specific profiles are characterized across immune, metabolic, and cell-type specific features at the gene, gene module, and pathway levels. By integrating matched plasma proteomics data from 1280 participants across 28 health conditions, we further assess blood RNA–protein relationships and demonstrate their complementary biological roles. By integrating RNA and protein signatures, we develop multi-class classification models that accurately distinguish among a wide range of health conditions, with integrated models consistently outperforming those based on single-omics data alone. The identified RNA and protein signatures are validated across ten independent WBT cohorts and the UK Biobank. Together, the WBT Atlas provides a genome-wide resource that enables translational discovery in precision medicine.
SN - 2041-1723
ER -