W. Lester S. Andrews Autobiography

Andrews, William L.

doi:10.1021/acs.jpca.7b11302

Cited by 21 publications

(29 citation statements)

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“…Demultiplexing, trimming, alignment to Mus musculus reference genome (with mm10 assembly), and methylation calling were performed as previously described. Quantification was performed using the DSS R/Bioconductor package (Feng et al, 2014) and the SeqMonk platform (Andrews, 2018). The RRBS dataset is available at GEO: GSE134238.…”

Section: Modified Reduced Representation Bisulfite Sequencingmentioning

confidence: 99%

The Aging Microenvironment Shapes Alveolar Macrophage Identity in Aging

McQuattie‐Pimentel¹,

Ren²,

Joshi³

et al. 2019

Preprint

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A dysfunctional response to inhaled pathogens and toxins drives a substantial portion of the susceptibility to acute and chronic lung disease in the elderly. We used transcriptomic profiling combined with genetic lineage tracing, heterochronic adoptive transfer, parabiosis and treatment with metformin to show that the lung microenvironment defines the phenotype of long-lived alveolar macrophages during aging. While tissue-resident alveolar macrophages persist in the lung without input from monocytes over the lifespan, severe lung injury results in their replacement with monocyte-derived alveolar macrophages. These monocyte-derived alveolar macrophages are also shaped by the microenvironment both during aging and in response to a subsequent environmental challenge to become transcriptionally and functionally similar to tissue-resident alveolar macrophages. These findings show that changes in alveolar macrophage phenotypes during injury and aging are not cell autonomous but instead are shaped by changes in the aging lung microenvironment.

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Section: Modified Reduced Representation Bisulfite Sequencingmentioning

confidence: 99%

The Aging Microenvironment Shapes Alveolar Macrophage Identity in Aging

McQuattie‐Pimentel¹,

Ren²,

Joshi³

et al. 2019

Preprint

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“…The subsequent high-throughput sequencing was performed on an Illumina HiSeq2500 (Illumina®, San Diego, CA, U.S.) in 100 bp paired-end mode and led to approximately 1 million sequence reads per sample. Quality check of the raw sequence data by the program FastQC version 0.10.1 [29] was followed by the processing of the sequences through an amplicon analysis pipeline. Due to quality loss at the end of the sequences, the forward and reverse sequence reads were trimmed to 100 bp and filtered from potential primer dimers by a JAVA program called DimerFilter.…”

Section: Microbial Community Analysismentioning

confidence: 99%

Cultivating Electrochemically Active Biofilms at Continuously Changing Electrode Potentials

et al. 2019

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In this study, electrochemically active microbial biofilms were cultivated and studied at continuously alternating electrode potentials. Compared to cultivation and operation at a single constant potential, this method enhanced microbial turnover and maximum current densities. Electrochemically active microbial biofilms were cultivated in a multi‐carbon source culture for several biofilm generations and were subsequently fed with real, domestic wastewater. Compared to constant potential cultivation, average (N=12) biofilm limiting current density at +0.2 V vs. Ag/AgCl increased from 0.350±0.101 to 0.508±0.099 mA cm−2 with a significant reduction in the time required until the maximum current output was reached from 2.01±0.79 to 1.36±0.71 d. The relative increase in maximum current density and decrease in the time required to reach it are similar. The relative differences of higher over lower values are both approximately 45 %. Biofilm community analysis showed a dominance of Geobacteraceae spp. in the electrochemically active biofilms, which is in accordance with the formal potentials derived from cyclic voltammetry. The overall increase in performance is related to the selection of electrochemically active microorganisms, which exhibit local maxima in their electron transfer kinetics between −0.3 and −0.2 V vs. Ag/AgCl.

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“…After the preparation of amplicons of the V3 region of the 16S rRNA gene, sequencing was performed on an Illumina HiSeq platform employing universal primers as described by Bartram et al The quality of the Bartram libraries was checked with a 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, U.S.) and subsequently sequenced in 100 bp paired-end mode on a HiSeq2500 (Illumina, San Diego, CA, U.S.). After the quality check of the raw sequence data by the program FastQC version 0.10.1, [44] the sequences were run through an amplicon analysis pipeline. Forward and reverse reads were trimmed to 100 bp and a JAVA program called DimerFilter purified the raw sequence data from potential primer dimers.…”

Section: Microbial Community Analysismentioning

confidence: 99%

Successive Conditioning in Complex Artificial Wastewater Increases the Performance of Electrochemically Active Biofilms Treating Real Wastewater

et al. 2017

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This study focuses on improving the treatment capacity and current output of electrochemically active microorganisms (EAM) during real wastewater treatment. A multi‐carbon‐source artificial wastewater consisting of several carbon sources, which represent typical fermentation and hydrolysis products derived from the otherwise myriad wastewater constituents, was developed as a more realistic simulation thereof. An electrochemically preselected inoculum was obtained by means of re‐suspension of a well‐established EAM biofilm, which was subsequently used to inoculate sterile electrodes. Repeating this procedure yielded increasingly enriched and conditioned biofilms with improved performance. After cultivation in the complex artificial medium, highly efficient fourth generation EAM biofilms were fed real wastewater (i. e. effluent after primary settling) and outperformed those cultivated using a single substrate (i. e. acetate) in terms of current output and chemical oxygen demand (COD) degradation rates.

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W. Lester S. Andrews Autobiography

Cited by 21 publications

References 0 publications

The Aging Microenvironment Shapes Alveolar Macrophage Identity in Aging

The Aging Microenvironment Shapes Alveolar Macrophage Identity in Aging

Cultivating Electrochemically Active Biofilms at Continuously Changing Electrode Potentials

Successive Conditioning in Complex Artificial Wastewater Increases the Performance of Electrochemically Active Biofilms Treating Real Wastewater

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