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Christopher Vollmers

Researcher at University of California, Santa Cruz

Publications -  71
Citations -  6263

Christopher Vollmers is an academic researcher from University of California, Santa Cruz. The author has contributed to research in topics: Transcriptome & Gene. The author has an hindex of 25, co-authored 61 publications receiving 4867 citations. Previous affiliations of Christopher Vollmers include Stanford University & Heidelberg University.

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Phylogenetic analysis of the human antibody repertoire reveals quantitative signatures of immune senescence and aging.

TL;DR: A direct molecular characterization of the effects of aging on the adaptive immune system by high-throughput sequencing of antibody transcripts in the peripheral blood of humans is reported, indicating that BCR repertoires become increasingly specialized over a span of decades, but less plastic.
Journal ArticleDOI

Signatures of selection in the human antibody repertoire: Selective sweeps, competing subclones, and neutral drift

TL;DR: In this article, the authors measured the dynamics and genetic diversity of B cell responses in five adults longitudinally before and after influenza vaccination using high-throughput antibody repertoire sequencing and found vaccine-responsive B cell lineages that carry signatures of selective sweeps driven by positive selection.
Journal ArticleDOI

Realizing the potential of full-length transcriptome sequencing.

TL;DR: In this review, the limitations of short-read sequencing technology and how long- read sequencing technology overcomes these limitations are outlined and some suggestions on how to overcome these challenges going forward are provided.
Posted ContentDOI

Nanopore Long-Read RNAseq Reveals Widespread Transcriptional Variation Among the Surface Receptors of Individual B cells

TL;DR: Results show that not only can RNAseq using the long-read single-molecule Oxford Nanopore MinION sequencing technology be able to identify and quantify complex isoforms without sacrificing accurate gene expression quantification, at the single cell level.