Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.

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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.

http://dmrocke.ucdavis.edu/Class/BST226.2014.Winter/Nature%20Protocols%20DAVID.pdf

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.

/pdf/limma-powers-differential-expression-analyses-for-rna-4yl7ae3arh.pdf

limma powers differential expression analyses for RNA-sequencing and microarray studies

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。

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

http://bartellab.wi.mit.edu/publication_reprints/Bartel_Cell09.pdf

MicroRNAs: Target Recognition and Regulatory Functions

https://www.annualreviews.org/doi/pdf/10.1146/annurev-genom-082509-141720

The Mitochondrial Proteome and Human Disease

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jimd.12374

Editorial: Mitochondrial medicine special issue.

Summary paragraph Glucose is vital for life, serving both as a source of energy and as a carbon building block for growth. When glucose availability is limiting, alternative nutrients must be harnessed. To identify mechanisms by which cells can tolerate complete loss of glucose, we performed nutrient-sensitized, genome-wide genetic screening and growth assays of 482 pooled PRISM cancer cell lines. We report that catabolism of uridine enables the growth of cells in the complete absence of glucose. While previous studies have shown that the uracil base of uridine can be salvaged to support growth in the setting of mitochondrial electron transport chain deficiency (1), our work shows that the ribose moiety of uridine can be salvaged via a pathway we call “uridinolysis” defined as: [1] the phosphorylytic cleavage of uridine by UPP1/2 into uracil and ribose-1-phosphate (R1P), [2] the conversion of R1P into fructose-6-P and glyceraldehyde-3-P by PGM2 and the non-oxidative branch of the pentose phosphate pathway (non-oxPPP), and [3] their glycolytic utilization to fuel ATP production, biosynthesis and gluconeogenesis. Intriguingly, we report that uridine nucleosides derived from RNA are also a substrate for uridinolysis and that RNA can support growth in glucose-limited conditions. Our results underscore the malleability of central carbon metabolism and raise the provocative hypothesis that RNA can also serve as a potential storage for energy.

https://biorxiv.org/content/10.1101/2021.06.10.447789v1.full.pdf

Salvage of Ribose from Uridine or RNA Supports Glycolysis when Glucose is Limiting

FOXRED1, encoding an FAD-dependent oxidoreductase complex-I-specific molecular chaperone, is mutated in infantile-onset mitochondrial encephalopathy (vol 24, pg 4837, 2010)

Nat. Biotechnol. 26, 343–351 (2008); published online 24 February 2008; corrected after print 8 July 2008 In the version of this article initially published, on p.348, column 2, paragraph 2, line 7, the following sentence was incorrect: “Statins block the synthesis of cholesterol—a precursor to ubiquinone.

/pdf/corrigendum-large-scale-chemical-dissection-of-mitochondrial-2n4xtw4nuy.pdf

Vamsi K. Mootha

Papers

The Mitochondrial Proteome and Human Disease

Editorial: Mitochondrial medicine special issue.

Salvage of Ribose from Uridine or RNA Supports Glycolysis when Glucose is Limiting

FOXRED1, encoding an FAD-dependent oxidoreductase complex-I-specific molecular chaperone, is mutated in infantile-onset mitochondrial encephalopathy (vol 24, pg 4837, 2010)

Corrigendum: Large-scale chemical dissection of mitochondrial function