{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T03:27:50Z","timestamp":1792207670792,"version":"4.4.0"},"publisher-location":"New York, NY","reference-count":19,"publisher":"Springer US","isbn-type":[{"value":"9781071621141","type":"print"},{"value":"9781071621158","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,5,28]],"date-time":"2022-05-28T00:00:00Z","timestamp":1653696000000},"content-version":"vor","delay-in-days":147,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Identification of immunoglobulin (IG) and T-cell receptor (TR) gene rearrangements in acute lymphoblastic leukemia (ALL) patients at initial presentation are crucial for monitoring of minimal residual disease (MRD) during subsequent follow-up and thereby for appropriate risk-group stratification. Here we describe how RNA-Seq data can be generated and subsequently analyzed with ARResT\/Interrogate to identify possible MRD markers. In addition to the procedures, possible pitfalls will be discussed. Similar strategies can be employed for other lymphoid malignancies, such as lymphoma and myeloma.<\/jats:p>","DOI":"10.1007\/978-1-0716-2115-8_4","type":"book-chapter","created":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T06:02:51Z","timestamp":1653631371000},"page":"61-77","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Immunoglobulin\/T-Cell Receptor Gene Rearrangement Analysis Using RNA-Seq"],"prefix":"10.1007","author":[{"given":"Vincent H. 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J Clin Oncol 34:2591\u20132601","journal-title":"J Clin Oncol"},{"key":"4_CR2","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1200\/JCO.20.02333","volume":"39","author":"J Stutterheim","year":"2021","unstructured":"Stutterheim J, van der Sluis IM, de Lorenzo P, Alten J, Ancliffe P, Attarbaschi A et al (2021) Clinical implications of minimal residual disease detection in infants with KMT2A-rearranged acute lymphoblastic leukemia treated on the Interfant-06 protocol. J Clin Oncol 39:652\u2013662","journal-title":"J Clin Oncol"},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1038\/leu.2008.5","volume":"22","author":"T Flohr","year":"2008","unstructured":"Flohr T, Schrauder A, Cazzaniga G, Panzer-Grumayer R, van der Velden V, Fischer S et al (2008) Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia. Leukemia 22:771\u2013782","journal-title":"Leukemia"},{"key":"4_CR4","doi-asserted-by":"publisher","first-page":"3996","DOI":"10.1182\/blood-2015-03-580027","volume":"125","author":"JJM Van Dongen","year":"2015","unstructured":"Van Dongen JJM, van der Velden VHJ, Br\u00fcggemann M, Orfao A (2015) Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies. 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