Similar articles for PMID: 29075258

Year	Number of Results
1992	1
1993	2
1994	1
1996	1
1997	2
1998	1
1999	3
2000	2
2002	1
2003	3
2004	1
2006	1
2007	2
2008	1
2009	2
2010	3
2011	1
2012	3
2013	2
2014	5
2015	3
2016	2
2017	7
2018	6
2019	9
2020	13
2021	14
2022	10
2023	4
2024	0

1

Quantitative Characterization of the T Cell Receptor Repertoire of Naïve and Memory Subsets Using an Integrated Experimental and Computational Pipeline Which Is Robust, Economical, and Versatile.

Oakes T, Heather JM, Best K, Byng-Maddick R, Husovsky C, Ismail M, Joshi K, Maxwell G, Noursadeghi M, Riddell N, Ruehl T, Turner CT, Uddin I, Chain B. Oakes T, et al. Front Immunol. 2017 Oct 12;8:1267. doi: 10.3389/fimmu.2017.01267. eCollection 2017. Front Immunol. 2017. PMID: 29075258 Free PMC article.

2

Quantitative analysis of the T cell receptor repertoire.

Uddin I, Woolston A, Peacock T, Joshi K, Ismail M, Ronel T, Husovsky C, Chain B. Uddin I, et al. Methods Enzymol. 2019;629:465-492. doi: 10.1016/bs.mie.2019.05.054. Epub 2019 Jun 20. Methods Enzymol. 2019. PMID: 31727254

3

An Economical, Quantitative, and Robust Protocol for High-Throughput T Cell Receptor Sequencing from Tumor or Blood.

Uddin I, Joshi K, Oakes T, Heather JM, Swanton C; TRACERx consortium; Chain B. Uddin I, et al. Methods Mol Biol. 2019;1884:15-42. doi: 10.1007/978-1-4939-8885-3_2. Methods Mol Biol. 2019. PMID: 30465193

4

The Intra-Tumoral T Cell Receptor Repertoire: Steps Towards a Useful Clinical Biomarker.

Nageswaran G, Byrne S, Veeriah S, Chain B. Nageswaran G, et al. Methods Mol Biol. 2022;2574:135-158. doi: 10.1007/978-1-0716-2712-9_6. Methods Mol Biol. 2022. PMID: 36087200

5

The TCR Repertoire Reconstitution in Multiple Sclerosis: Comparing One-Shot and Continuous Immunosuppressive Therapies.

Amoriello R, Greiff V, Aldinucci A, Bonechi E, Carnasciali A, Peruzzi B, Repice AM, Mariottini A, Saccardi R, Mazzanti B, Massacesi L, Ballerini C. Amoriello R, et al. Front Immunol. 2020 Apr 9;11:559. doi: 10.3389/fimmu.2020.00559. eCollection 2020. Front Immunol. 2020. PMID: 32328061 Free PMC article.

6

TCRpower: quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences.

Dahal-Koirala S, Balaban G, Neumann RS, Scheffer L, Lundin KEA, Greiff V, Sollid LM, Qiao SW, Sandve GK. Dahal-Koirala S, et al. Brief Bioinform. 2022 Mar 10;23(2):bbab566. doi: 10.1093/bib/bbab566. Brief Bioinform. 2022. PMID: 35062022 Free PMC article.

7

3D: diversity, dynamics, differential testing - a proposed pipeline for analysis of next-generation sequencing T cell repertoire data.

Zhang L, Cham J, Paciorek A, Trager J, Sheikh N, Fong L. Zhang L, et al. BMC Bioinformatics. 2017 Feb 27;18(1):129. doi: 10.1186/s12859-017-1544-9. BMC Bioinformatics. 2017. PMID: 28241742 Free PMC article.

8

Estimation of T-cell repertoire diversity and clonal size distribution by Poisson abundance models.

Sepúlveda N, Paulino CD, Carneiro J. Sepúlveda N, et al. J Immunol Methods. 2010 Feb 28;353(1-2):124-37. doi: 10.1016/j.jim.2009.11.009. Epub 2009 Nov 18. J Immunol Methods. 2010. PMID: 19931272

9

The naive T-cell receptor repertoire has an extremely broad distribution of clone sizes.

de Greef PC, Oakes T, Gerritsen B, Ismail M, Heather JM, Hermsen R, Chain B, de Boer RJ. de Greef PC, et al. Elife. 2020 Mar 18;9:e49900. doi: 10.7554/eLife.49900. Elife. 2020. PMID: 32187010 Free PMC article.

10

RNase H-dependent PCR-enabled T-cell receptor sequencing for highly specific and efficient targeted sequencing of T-cell receptor mRNA for single-cell and repertoire analysis.

Li S, Sun J, Allesøe R, Datta K, Bao Y, Oliveira G, Forman J, Jin R, Olsen LR, Keskin DB, Shukla SA, Wu CJ, Livak KJ. Li S, et al. Nat Protoc. 2019 Aug;14(8):2571-2594. doi: 10.1038/s41596-019-0195-x. Epub 2019 Jul 24. Nat Protoc. 2019. PMID: 31341290 Free PMC article.

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