Howard Hughes Medical Institute

About: Howard Hughes Medical Institute is a nonprofit organization based out in Chevy Chase, Maryland, United States. It is known for research contribution in the topics: Gene & RNA. The organization has 20371 authors who have published 34677 publications receiving 5247143 citations. The organization is also known as: HHMI & hhmi.org.

Three-Dimensional Super-Resolution Imaging by Stochastic Optical Reconstruction Microscopy

Abstract: Recent advances in far-field fluorescence microscopy have led to substantial improvements in image resolution, achieving a near-molecular resolution of 20 to 30 nanometers in the two lateral dimensions. Three-dimensional (3D) nanoscale-resolution imaging, however, remains a challenge. We demonstrated 3D stochastic optical reconstruction microscopy (STORM) by using optical astigmatism to determine both axial and lateral positions of individual fluorophores with nanometer accuracy. Iterative, stochastic activation of photoswitchable probes enables high-precision 3D localization of each probe, and thus the construction of a 3D image, without scanning the sample. Using this approach, we achieved an image resolution of 20 to 30 nanometers in the lateral dimensions and 50 to 60 nanometers in the axial dimension. This development allowed us to resolve the 3D morphology of nanoscopic cellular structures.

Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

Abstract: We present here a draft genome sequence of the red jungle fowl, Gallus gallus. Because the chicken is a modern descendant of the dinosaurs and the first non-mammalian amniote to have its genome sequenced, the draft sequence of its genome--composed of approximately one billion base pairs of sequence and an estimated 20,000-23,000 genes--provides a new perspective on vertebrate genome evolution, while also improving the annotation of mammalian genomes. For example, the evolutionary distance between chicken and human provides high specificity in detecting functional elements, both non-coding and coding. Notably, many conserved non-coding sequences are far from genes and cannot be assigned to defined functional classes. In coding regions the evolutionary dynamics of protein domains and orthologous groups illustrate processes that distinguish the lineages leading to birds and mammals. The distinctive properties of avian microchromosomes, together with the inferred patterns of conserved synteny, provide additional insights into vertebrate chromosome architecture.

Biochemical Pathways of Caspase Activation During Apoptosis

Abstract: ▪ Abstract Caspase activation plays a central role in the execution of apoptosis. The key components of the biochemical pathways of caspase activation have been recently elucidated. In this review, we focus on the two most well-studied pathways of caspase activation: the cell surface death receptor pathway and the mitochondria-initiated pathway. In the cell surface death receptor pathway, activation of caspase-8 following its recruitment to the death-inducing signaling complex (DISC) is the critical event that transmits the death signal. This event is regulated at several different levels by various viral and mammalian proteins. Activated caspase-8 can activate downstream caspases by direct cleavage or indirectly by cleaving Bid and inducing cytochrome c release from the mitochondria. In the mitochondrial-initiated pathway, caspase activation is triggered by the formation of a multimeric Apaf-1/cytochrome c complex that is fully functional in recruiting and activating procaspase-9. Activated caspase-9 wil...

Discovery and saturation analysis of cancer genes across 21 tumour types

Abstract: Although a few cancer genes are mutated in a high proportion of tumours of a given type (.20%), most are mutated at intermediate frequencies (2–20%). To explore the feasibility of creating a comprehensive catalogue of cancer genes, we analysed somatic point mutations in exome sequences from 4,742 human cancers and their matched normal-tissue samples across 21 cancer types. We found that large-scale genomic analysis can identify nearly all known cancer genes in these tumour types. Our analysis also identified 33 genes that were not previously known to be significantly mutated in cancer, including genes related to proliferation, apoptosis, genome stability, chromatin regulation, immune evasion, RNA processing and protein homeostasis. Down-sampling analysis indicates that larger sample sizes will reveal many more genes mutated at clinically important frequencies. We estimate that near-saturation may be achieved with 600– 5,000 samples per tumour type, depending on background mutation frequency. The results may help to guide the next stage of cancer genomics. Comprehensive knowledge of the genes underlying human cancers is a critical foundation for cancer diagnostics, therapeutics, clinical-trial design and selection of rational combination therapies. It is now possible to use genomic analysis to identify cancer genes in an unbiased fashion, based on the presence of somatic mutations at a rate significantly higher than the expected background level. Systematic studies have revealed many new cancer genes, as well as new classes of cancer genes 1,2 . They have also made clear that, although some cancer genes are mutated at high frequencies, most cancer genes in most patients occur at intermediate frequencies (2–20%) or lower. Accordingly, a complete catalogue of mutations in this frequency class will be essential for recognizing dysregulated pathways and optimal targets for therapeutic intervention. However, recent work suggests major gaps in our knowledge of cancer genes of intermediate frequency. For example, a study of 183 lung adenocarcinomas 3 found that 15% of patients lacked even a single mutation affecting any of the 10 known hallmarks of cancer, and 38% had 3 or fewer such mutations. In this paper, we analysed somatic point mutations (substitutions and small insertion and deletions) in nearly 5,000 human cancers and their matched normal-tissue samples (‘tumour–normal pairs’) across 21 tumour types. The questions that we examine here are: first, whether large-scale genomic analysis across tumour types can reliably identify all known cancer genes; second, whether it will reveal many new candidate cancer genes; and third, how far we are from having a complete catalogue of cancer genes (at least those of intermediate frequency). We used rigorous statistical methods to enumerate candidate cancer genes and then carefully inspected each gene to identify those with strong biological connections to cancer and mutational patterns consistent with the expected function. The analysis reveals nearly all known cancer genes and revealed 33 novel candidates, including genes related to proliferation, apoptosis, genome stability, chromatin regulation, immune evasion, RNA processing and protein homeostasis. Importantly, the data show that the

The Nuclear DNA Base 5-Hydroxymethylcytosine Is Present in Purkinje Neurons and the Brain

Abstract: Despite the importance of epigenetic regulation in neurological disorders, little is known about neuronal chromatin. Cerebellar Purkinje neurons have large and euchromatic nuclei, whereas granule cell nuclei are small and have a more typical heterochromatin distribution. While comparing the abundance of 5-methylcytosine in Purkinje and granule cell nuclei, we detected the presence of an unusual DNA nucleotide. Using thin-layer chromatography, high-pressure liquid chromatography, and mass spectrometry, we identified the nucleotide as 5-hydroxymethyl-2′-deoxycytidine (hmdC). hmdC constitutes 0.6% of total nucleotides in Purkinje cells, 0.2% in granule cells, and is not present in cancer cell lines. hmdC is a constituent of nuclear DNA that is highly abundant in the brain, suggesting a role in epigenetic control of neuronal function.