Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data
(1, 2)
,
(3)
,
(4)
,
(3)
,
(1)
,
(3)
,
(3)
,
(3)
,
(1)
,
(1)
,
(5)
,
(5)
,
(6)
,
(7)
,
(8)
,
(4)
,
(4)
,
(9, 10)
,
(11)
,
(10)
,
(9, 10, 12)
,
(9)
,
(13)
,
(14)
,
(3)
,
(5)
,
(15)
,
(16)
,
(16)
,
(4, 17)
,
(4, 18)
,
(4, 17)
,
(1, 3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Matthew C Altman
- Function : Author
- PersonId : 818363
- ORCID : 0000-0002-1784-8505
Darawan Rinchai
- Function : Author
- PersonId : 775020
- ORCID : 0000-0001-8851-7730
Nicole Baldwin
- Function : Author
- PersonId : 818364
- ORCID : 0000-0002-4196-3554
Mohammed Toufiq
- Function : Author
- PersonId : 818365
- ORCID : 0000-0002-6368-6746
Scott R Presnell
- Function : Author
- PersonId : 775019
- ORCID : 0000-0001-9203-6403
Aaron Ayllón-Benítez
- Function : Author
- PersonId : 170317
- IdHAL : aaron-ayllon-benitez
- ORCID : 0000-0002-0684-0364
Anne O’garra
- Function : Author
- PersonId : 792321
- ORCID : 0000-0001-9845-6134
- IdRef : 181108593
Ganjana Lertmemongkolchai
- Function : Author
- PersonId : 818366
- ORCID : 0000-0001-6972-585X
Rodolphe Thiebaut
- Function : Author
- PersonId : 175125
- IdHAL : rodolphe-thiebaut
- ORCID : 0000-0002-5235-3962
- IdRef : 071580735
Farrah Kheradmand
- Function : Author
- PersonId : 818367
- ORCID : 0000-0001-5343-103X
Asuncion Mejias
- Function : Author
- PersonId : 818368
- ORCID : 0000-0002-5983-8006
Octavio Ramilo
- Function : Author
- PersonId : 818369
- ORCID : 0000-0002-0565-5239
Virginia Pascual
- Function : Author
- PersonId : 759725
- ORCID : 0000-0002-8806-8426
Jacques Banchereau
- Function : Author
- PersonId : 759726
- ORCID : 0000-0003-3535-7221
- IdRef : 089041259
Damien Chaussabel
- Function : Author
- PersonId : 761494
- ORCID : 0000-0002-6131-7242
Abstract
As the capacity for generating large-scale molecular profiling data continues to grow, the ability to extract meaningful biological knowledge from it remains a limitation. Here, we describe the development of a new fixed repertoire of transcriptional modules, BloodGen3, that is designed to serve as a stable reusable framework for the analysis and interpretation of blood transcriptome data. The construction of this repertoire is based on co-clustering patterns observed across sixteen immunological and physiological states encompassing 985 blood transcriptome profiles. Interpretation is supported by customized resources, including module-level analysis workflows, fingerprint grid plot visualizations, interactive web applications and an extensive annotation framework comprising functional profiling reports and reference transcriptional profiles. Taken together, this well-characterized and well-supported transcriptional module repertoire can be employed for the interpretation and benchmarking of blood transcriptome profiles within and across patient cohorts. Blood transcriptome fingerprints for the 16 reference cohorts can be accessed interactively via: https://drinchai.shinyapps.io/BloodGen3Module/ .
