A lo largo de la historia diferentes pandemias han asolado a humanidad. De todas ellas, salvo Covid-19, pues aún no ha habido tiempo llevarla gran pantalla, numerosas representaciones en el cine comercial, algunas muy relevantes desde punto vista calidad cinematográfica y científica con que están documentados los guiones. Sería inalcanzable enumerar cada una ellas. Por tanto, este artículo se p...

Molecular determinants of FlA1 fluorinase specificity were probed using 5'-chloro-5'-deoxyadenosine (5'-ClDA) analogs as substrates and FlA1 active site mutants. Modifications at F213 or A279 residues are beneficial towards these modified substrates, including 5'-chloro-5'-deoxy-2-ethynyladenosine, ClDEA (>10-fold activity improvement), and conferred novel activity towards substrates not readil...

5-hydroxymethylcytosine (5 hmC), the oxidized form of 5-methylcytosine (5 mC), is a base modification with emerging importance in biology and disease. However, like most epigenetic elements, it is transparent to many conventional genetic techniques and is thus challenging to probe. Here, we report a rapid solid-state nanopore assay that is capable of resolving 5 hmC with high specificity and se...

5-Methylcytosine (5mC) can be converted to 5-hydroxymethylcytosine (5hmC) in mammalian cells by the ten-eleven translocation (Tet) family of dioxygenases. While 5mC has been extensively studied, we have just started to understand the distribution and function of 5hmC in mammalian genomes. Despite the fact that this new epigenetic mark has only been discovered three years ago, exciting progress ...

5-Hydroxymethylcytosine (hmC) was recently detected as the sixth base in mammalian tissue at so far controversial levels. The function of the modified base is currently unknown, but it is certain that the base is generated from 5-methylcytosine (mC). This fuels the hypothesis that it represents an intermediate of an active demethylation process, which could involve further oxidation of the hydr...

A new method based on an autoregressive noise model of order 1 is introduced to the problem of detecting the number of components in fMRI data. Unlike current information-theoretic criteria like AIC, MDL, and related PPCA, which do not incorporate autocorrelations in the noise, the new method leads to more consistent estimates of the model order, as illustrated in simulated and real fMRI restin...

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