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Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis

Glycomics can uncover important molecular changes but measured glycans are highly interconnected and incompatible with common statistical methods, introducing pitfalls during analysis. Here, the authors develop an approach to identify glycan dependencies across samples to facilitate comparative glycomics.

Bokan Bao
Benjamin P. Kellman
Nathan E. Lewis
ResearchOpen Access17 Aug 2021
Nature Communications

Volume: 12, P: 1-14
Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration

Human milk oligosaccharides are fundamental to infant health. Here the authors deploy a multi-omics systems biology approach to elucidate their biosynthetic network, including the associated enzymes and likely structures of ambiguous oligosaccharides.

Benjamin P. Kellman
Anne Richelle
Nathan E. Lewis
ResearchOpen Access04 May 2022
Nature Communications

Volume: 13, P: 1-15
T2-weighted CMR of the area at risk—a risky business?

T2-weighted cardiovascular magnetic resonance imaging (T2W-CMR) has been championed as the best noninvasive method to determine the myocardial area at risk and to quantify myocardial salvage in patients with acute coronary syndromes. However, several unresolved issues warrant discussion and we urge caution when utilizing T2W-CMR for this purpose.

W. Benjamin Wince
Raymond J. Kim
News & Views24 Sept 2010
Nature Reviews Cardiology

Volume: 7, P: 547-549
A perturbed gene network containing PI3K–AKT, RAS–ERK and WNT–β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity

In leukocyte transcriptomes from toddlers with ASD, Gazestani et al. find a perturbed gene network that is involved in fetal brain development and lies downstream of ASD risk genes, and whose dysregulation level correlates with ASD symptom severity.

Vahid H. Gazestani
Tiziano Pramparo
Nathan E. Lewis
Research23 Sept 2019
Nature Neuroscience

Volume: 22, P: 1624-1634
Optimization of carbon and energy utilization through differential translational efficiency

Microorganisms must regulate allocation of resources in nutrient-limited conditions. Here, the authors combine Ribo-seq, RNA-seq and TSS-seq to study resource allocation in the acetogen C. ljungdahlii, and show that dynamic regulation of translational efficiency of metabolic pathways is critical.

Mahmoud M. Al-Bassam
Ji-Nu Kim
Karsten Zengler
ResearchOpen Access26 Oct 2018
Nature Communications

Volume: 9, P: 1-13
Boosting with adjuvanted SCB-2019 elicits superior Fcγ-receptor engagement driven by IgG3 to SARS-CoV-2 spike

Wonyeong Jung
Dansu Yuan
Sue Ann Costa Clemens
ResearchOpen Access05 Jan 2024
npj Vaccines

Volume: 9, P: 1-10
Combating viral contaminants in CHO cells by engineering innate immunity

Austin W. T. Chiang
Shangzhong Li
Nathan E. Lewis
ResearchOpen Access20 Jun 2019
Scientific Reports

Volume: 9, P: 1-15

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Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis

Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration

T2-weighted CMR of the area at risk—a risky business?

A perturbed gene network containing PI3K–AKT, RAS–ERK and WNT–β-catenin pathways in leukocytes is linked to ASD genetics and symptom severity

Optimization of carbon and energy utilization through differential translational efficiency

Boosting with adjuvanted SCB-2019 elicits superior Fcγ-receptor engagement driven by IgG3 to SARS-CoV-2 spike

Combating viral contaminants in CHO cells by engineering innate immunity

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