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J. Christopher Love

Bio: J. Christopher Love is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Antigen & Antibody. The author has an hindex of 55, co-authored 186 publications receiving 17873 citations. Previous affiliations of J. Christopher Love include University of Illinois at Urbana–Champaign & Harvard University.
Topics: Antigen, Antibody, Medicine, Pichia pastoris, Biology


Papers
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Journal ArticleDOI
16 May 2002-Langmuir
TL;DR: In this article, the preparation of two-layer stamps was adapted from a procedure originally developed by Schmid et al. (Macromolecules 2000, 33, 3042) for microcontact printing.
Abstract: Composite stamps composed of two layersa stiff layer supported by a flexible layerextend the capabilities of soft lithography to the generation of 50−100-nm features. The preparation of these stamps was adapted from a procedure originally developed by Schmid et al. (Macromolecules 2000, 33, 3042) for microcontact printing. This paper demonstrates how pattern transfer using other soft lithographic techniquesmicromolding in capillaries, microtransfer molding, and phase-shifting lithographycan be improved using two-layer stamps relative to stamps made of Sylgard 184 poly(dimethylsiloxane).

734 citations

Journal ArticleDOI
TL;DR: Seq-Well is presented, a portable, low-cost platform for massively parallel single-cell RNA-seq that is used to profile thousands of primary human macrophages exposed to Mycobacterium tuberculosis.
Abstract: Seq-Well provides similar scale and data quality to massively parallel, droplet-based single-cell RNA-seq methods in an easy to use, inexpensive and portable microwell format compatible with low-input samples.

652 citations

Journal ArticleDOI
TL;DR: In this paper, a software called ichorCNA was proposed to quantitatively measure tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations.
Abstract: Whole-exome sequencing of cell-free DNA (cfDNA) could enable comprehensive profiling of tumors from blood but the genome-wide concordance between cfDNA and tumor biopsies is uncertain. Here we report ichorCNA, software that quantifies tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations. We apply ichorCNA to 1439 blood samples from 520 patients with metastatic prostate or breast cancers. In the earliest tested sample for each patient, 34% of patients have ≥10% tumor-derived cfDNA, sufficient for standard coverage whole-exome sequencing. Using whole-exome sequencing, we validate the concordance of clonal somatic mutations (88%), copy number alterations (80%), mutational signatures, and neoantigens between cfDNA and matched tumor biopsies from 41 patients with ≥10% cfDNA tumor content. In summary, we provide methods to identify patients eligible for comprehensive cfDNA profiling, revealing its applicability to many patients, and demonstrate high concordance of cfDNA and metastatic tumor whole-exome sequencing.

519 citations

Journal ArticleDOI
TL;DR: A soft lithographic method based on intaglio printing to generate microarrays comprising the secreted products of single cells enabling a rapid and high-throughput system for identification, recovery and clonal expansion of cells producing antigen-specific antibodies.
Abstract: Monoclonal antibodies that recognize specific antigens of interest are used as therapeutic agents and as tools for biomedical research1. Discovering a single monoclonal antibody requires retrieval of an individual hybridoma from polyclonal mixtures of cells producing antibodies with a variety of specificities. The time required to isolate hybridomas by a limiting serial-dilution, however, has restricted the diversity and breadth of available antibodies. Here we present a soft lithographic method based on intaglio printing to generate microarrays comprising the secreted products of single cells. These engraved arrays enable a rapid ( 100,000 individual cells) system for identification, recovery and clonal expansion of cells producing antigen-specific antibodies. This method can be adapted, in principle, to detect any secreted product in a multiplexed manner.

503 citations


Cited by
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Journal ArticleDOI

[...]

08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Journal ArticleDOI
19 Oct 2007-Science
TL;DR: Inspired by the composition of adhesive proteins in mussels, dopamine self-polymerization is used to form thin, surface-adherent polydopamine films onto a wide range of inorganic and organic materials, including noble metals, oxides, polymers, semiconductors, and ceramics.
Abstract: We report a method to form multifunctional polymer coatings through simple dip-coating of objects in an aqueous solution of dopamine. Inspired by the composition of adhesive proteins in mussels, we used dopamine self-polymerization to form thin, surface-adherent polydopamine films onto a wide range of inorganic and organic materials, including noble metals, oxides, polymers, semiconductors, and ceramics. Secondary reactions can be used to create a variety of ad-layers, including self-assembled monolayers through deposition of long-chain molecular building blocks, metal films by electroless metallization, and bioinert and bioactive surfaces via grafting of macromolecules.

8,669 citations