Details

Autor(en) / Beteiligte

• Mandric, Igor
• Rotman, Jeremy
• Yang, Harry Taegyun
• Strauli, Nicolas
• Montoya, Dennis J.
• Van Der Wey, William
• Ronas, Jiem R.
• Statz, Benjamin
• Yao, Douglas
• Petrova, Velislava
• Zelikovsky, Alex
• Spreafico, Roberto
• Shifman, Sagiv
• Zaitlen, Noah
• Rossetti, Maura
• Ansel, K. Mark
• Eskin, Eleazar
• Mangul, Serghei

Titel

Profiling immunoglobulin repertoires across multiple human tissues using RNA sequencing

Ist Teil von

• Nature communications, 2020-06, Vol.11 (1), p.3126-3126, Article 3126

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• Profiling immunoglobulin (Ig) receptor repertoires with specialized assays can be cost-ineffective and time-consuming. Here we report ImReP, a computational method for rapid and accurate profiling of the Ig repertoire, including the complementary-determining region 3 (CDR3), using regular RNA sequencing data such as those from 8,555 samples across 53 tissues types from 544 individuals in the Genotype-Tissue Expression (GTEx v6) project. Using ImReP and GTEx v6 data, we generate a collection of 3.6 million Ig sequences, termed the atlas of immunoglobulin repertoires (TAIR), across a broad range of tissue types that often do not have reported Ig repertoires information. Moreover, the flow of Ig clonotypes and inter-tissue repertoire similarities across immune-related tissues are also evaluated. In summary, TAIR is one of the largest collections of CDR3 sequences and tissue types, and should serve as an important resource for studying immunological diseases. Information on immune receptor repertoire provides important insights on disease progression and therapy development, but can be expensive and time-consuming to obtain. Here the authors report ImReP, a computational method that can extract detailed immune repertoire information from existing tissue-specific RNA sequencing data.