Jean-Karim Hériché

Phenotypic profiling of the human genome by time-lapse microscopy reveals cell division genes.

Despite our rapidly growing knowledge about the human genome, we do not know all of the genes required for some of the most basic functions of life. To start to fill this gap we developed a high-throughput phenotypic screening platform combining potent gene silencing by RNA interference, time-lapse microscopy and computational image processing. We carried out a genome-wide phenotypic profiling of each of the ∼21,000 human protein-coding genes by two-day live imaging of fluorescently labelled chromosomes. Phenotypes were scored quantitatively by computational image processing, which allowed us to identify hundreds of human genes involved in diverse biological functions including cell division, migration and survival. As part of the Mitocheck consortium, this study provides an in-depth analysis of cell division phenotypes and makes the entire high-content data set available as a resource to the community.

BAC TransgeneOmics: a high-throughput method for exploration of protein function in mammals

The interpretation of genome sequences requires reliable and standardized methods to assess protein function at high throughput. Here we describe a fast and reliable pipeline to study protein function in mammalian cells based on protein tagging in bacterial artificial chromosomes (BACs). The large size of the BAC transgenes ensures the presence of most, if not all, regulatory elements and results in expression that closely matches that of the endogenous gene. We show that BAC transgenes can be rapidly and reliably generated using 96-well-format recombineering. After stable transfection of these transgenes into human tissue culture cells or mouse embryonic stem cells, the localization, protein-protein and/or protein-DNA interactions of the tagged protein are studied using generic, tag-based assays. The same high-throughput approach will be generally applicable to other model systems.NOTE: In the version of this article initially published online, the name of one individual was misspelled in the Acknowledgments. The second sentence of the Acknowledgments paragraph should read, “We thank I. Cheesman for helpful discussions.” The error has been corrected for all versions of the article.

Systematic Analysis of Human Protein Complexes Identifies Chromosome Segregation Proteins

Division Machinery Tagged An international consortium of labs has been testing the feasibility of large-scale screening for insights into the function of mammalian proteins by expressing a tagged version of proteins from bacterial artificial chromosomes harbored in mammalian cells. Depending on the tag used, Hutchins et al. (p. 593, published online 1 April) were able to monitor localization of tagged proteins by microscopy or to isolate interacting proteins and subsequently identify the binding partners by mass spectrometry. Applying the technology to proteins implicated in control of cell division revealed about 100 protein machines required for mitosis. A strategy designed to decipher the function of proteins identified in RNA interference screens reveals new insights into mitosis. Chromosome segregation and cell division are essential, highly ordered processes that depend on numerous protein complexes. Results from recent RNA interference screens indicate that the identity and composition of these protein complexes is incompletely understood. Using gene tagging on bacterial artificial chromosomes, protein localization, and tandem-affinity purification–mass spectrometry, the MitoCheck consortium has analyzed about 100 human protein complexes, many of which had not or had only incompletely been characterized. This work has led to the discovery of previously unknown, evolutionarily conserved subunits of the anaphase-promoting complex and the γ-tubulin ring complex—large complexes that are essential for spindle assembly and chromosome segregation. The approaches we describe here are generally applicable to high-throughput follow-up analyses of phenotypic screens in mammalian cells.

TreeFam: a curated database of phylogenetic trees of animal gene families

TreeFam is a database of phylogenetic trees of gene families found in animals. It aims to develop a curated resource that presents the accurate evolutionary history of all animal gene families, as well as reliable ortholog and paralog assignments. Curated families are being added progressively, based on seed alignments and trees in a similar fashion to Pfam. Release 1.1 of TreeFam contains curated trees for 690 families and automatically generated trees for another 11 646 families. These represent over 128 000 genes from nine fully sequenced animal genomes and over 45 000 other animal proteins from UniProt; ∼40–85% of proteins encoded in the fully sequenced animal genomes are included in TreeFam. TreeFam is freely available at and .

Systematic Localization and Purification of Human Protein Complexes Identifies Chromosome Segregation Proteins

Division Machinery Tagged An international consortium of labs has been testing the feasibility of large-scale screening for insights into the function of mammalian proteins by expressing a tagged version of proteins from bacterial artificial chromosomes harbored in mammalian cells. Depending on the tag used, Hutchins et al. (p. 593, published online 1 April) were able to monitor localization of tagged proteins by microscopy or to isolate interacting proteins and subsequently identify the binding partners by mass spectrometry. Applying the technology to proteins implicated in control of cell division revealed about 100 protein machines required for mitosis. A strategy designed to decipher the function of proteins identified in RNA interference screens reveals new insights into mitosis. Chromosome segregation and cell division are essential, highly ordered processes that depend on numerous protein complexes. Results from recent RNA interference screens indicate that the identity and composition of these protein complexes is incompletely understood. Using gene tagging on bacterial artificial chromosomes, protein localization, and tandem-affinity purification–mass spectrometry, the MitoCheck consortium has analyzed about 100 human protein complexes, many of which had not or had only incompletely been characterized. This work has led to the discovery of previously unknown, evolutionarily conserved subunits of the anaphase-promoting complex and the γ-tubulin ring complex—large complexes that are essential for spindle assembly and chromosome segregation. The approaches we describe here are generally applicable to high-throughput follow-up analyses of phenotypic screens in mammalian cells.

TreeFam: 2008 Update

TreeFam (http://www.treefam.org) was developed to provide curated phylogenetic trees for all animal gene families, as well as orthologue and paralogue assignments. Release 4.0 of TreeFam contains curated trees for 1314 families and automatically generated trees for another 14 351 families. We have expanded TreeFam to include 25 fully sequenced animal genomes, as well as four genomes from plant and fungal outgroup species. We have also introduced more accurate approaches for automatically grouping genes into families, for building phylogenetic trees, and for inferring orthologues and paralogues. The user interface for viewing phylogenetic trees and family information has been improved. Furthermore, a new perl API lets users easily extract data from the TreeFam mysql database.

Visualization of image data from cells to organisms

Advances in imaging techniques and high-throughput technologies are providing scientists with unprecedented possibilities to visualize internal structures of cells, organs and organisms and to collect systematic image data characterizing genes and proteins on a large scale. To make the best use of these increasingly complex and large image data resources, the scientific community must be provided with methods to query, analyze and crosslink these resources to give an intuitive visual representation of the data. This review gives an overview of existing methods and tools for this purpose and highlights some of their limitations and challenges.

TRIP12 and UBR5 Suppress Spreading of Chromatin Ubiquitylation at Damaged Chromosomes

Histone ubiquitylation is a prominent response to DNA double-strand breaks (DSBs), but how these modifications are confined to DNA lesions is not understood. Here, we show that TRIP12 and UBR5, two HECT domain ubiquitin E3 ligases, control accumulation of RNF168, a rate-limiting component of a pathway that ubiquitylates histones after DNA breakage. We find that RNF168 can be saturated by increasing amounts of DSBs. Depletion of TRIP12 and UBR5 allows accumulation of RNF168 to supraphysiological levels, followed by massive spreading of ubiquitin conjugates and hyperaccumulation of ubiquitin-regulated genome caretakers such as 53BP1 and BRCA1. Thus, regulatory and proteolytic ubiquitylations are wired in a self-limiting circuit that promotes histone ubiquitylation near the DNA lesions but at the same time counteracts its excessive spreading to undamaged chromosomes. We provide evidence that this mechanism is vital for the homeostasis of ubiquitin-controlled events after DNA breakage and can be subverted during tumorigenesis.

Genome-wide RNAi screening identifies human proteins with a regulatory function in the early secretory pathway

The secretory pathway in mammalian cells has evolved to facilitate the transfer of cargo molecules to internal and cell surface membranes. Use of automated microscopy-based genome-wide RNA interference screens in cultured human cells allowed us to identify 554 proteins influencing secretion. Cloning, fluorescent-tagging and subcellular localization analysis of 179 of these proteins revealed that more than two-thirds localize to either the cytoplasm or membranes of the secretory and endocytic pathways. The depletion of 143 of them resulted in perturbations in the organization of the COPII and/or COPI vesicular coat complexes of the early secretory pathway, or the morphology of the Golgi complex. Network analyses revealed a so far unappreciated link between early secretory pathway function, small GTP-binding protein regulation, actin cytoskeleton organization and EGF-receptor-mediated signalling. This work provides an important resource for an integrative understanding of global cellular organization and regulation of the secretory pathway in mammalian cells.

Systematic Phosphorylation Analysis of Human Mitotic Protein Complexes

Analysis of the phosphorylation of mitotic protein complexes suggests that specific members of the complexes relay regulatory signals to these molecular machines. Regulating Mitotic Machines Most proteins do not function in isolation; they are part of large macromolecular complexes. Hegemann et al. used information available about the protein complexes involved in mitosis and then performed mass spectrometry to determine the phosphoproteome of these mitotic machines. Certain proteins in each complex were phosphorylated at many more sites than other proteins in the complex and thus may represent master regulators of the activities of these mitotic machines. Experiments with specific inhibitors of Polo-like kinase 1 and Aurora kinase B enabled the identification of specific targets of these mitotic kinases, providing insight into the mechanism by which these two kinases regulate the activity of mitotic complexes to control progression through the complicated process of cell division. Progression through mitosis depends on a large number of protein complexes that regulate the major structural and physiological changes necessary for faithful chromosome segregation. Most, if not all, of the mitotic processes are regulated by a set of mitotic protein kinases that control protein activity by phosphorylation. Although many mitotic phosphorylation events have been identified in proteome-scale mass spectrometry studies, information on how these phosphorylation sites are distributed within mitotic protein complexes and which kinases generate these phosphorylation sites is largely lacking. We used systematic protein-affinity purification combined with mass spectrometry to identify 1818 phosphorylation sites in more than 100 mitotic protein complexes. In many complexes, the phosphorylation sites were concentrated on a few subunits, suggesting that these subunits serve as “switchboards” to relay the kinase-regulatory signals within the complexes. Consequent bioinformatic analyses identified potential kinase-substrate relationships for most of these sites. In a subsequent in-depth analysis of key mitotic regulatory complexes with the Aurora kinase B (AURKB) inhibitor Hesperadin and a new Polo-like kinase (PLK1) inhibitor, BI 4834, we determined the kinase dependency for 172 phosphorylation sites on 41 proteins. Combination of the results of the cellular studies with Scansite motif prediction enabled us to identify 14 sites on six proteins as direct candidate substrates of AURKB or PLK1.