Intrasplicing coordinates alternative first exons with alternative splicing in the protein 4.1R gene

In the protein 4.1R gene, alternative first exons splice differentially to alternative 3' splice sites far downstream in exon 2'/2 (E2'/2). We describe a novel intrasplicing mechanism by which exon 1A (E1A) splices exclusively to the distal E2'/2 acceptor via two nested splicing reactions regulated by novel properties of exon 1B (E1B). E1B behaves as an exon in the first step, using its consensus 5' donor to splice to the proximal E2'/2 acceptor. A long region of downstream intron is excised, juxtaposing E1B with E2'/2 to generate a new composite acceptor containing the E1B branchpoint/pyrimidine tract and E2 distal 3' AG-dinucleotide. Next, the upstream E1A splices over E1B to this distal acceptor, excising the remaining intron plus E1B and E2' to form mature E1A/E2 product. We mapped branch points for both intrasplicing reactions and demonstrated that mutation of the E1B 5' splice site or branchpoint abrogates intrasplicing. In the 4.1R gene, intrasplicing ultimately determines N-terminal protein structure and function. More generally, intrasplicing represents a new mechanism whereby alternative promoters can be coordinated with downstream alternative splicing

Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation

Purpose: Machine Learning (ML) algorithms represent an interesting alternative to maximum a posteriori Bayesian estimators (MAP-BE) for tacrolimus AUC estimation, but it is not known if training an ML model using a lower number of full pharmacokinetic (PK) profiles (="true" reference AUC) provides better performances than using a larger dataset of less accurate AUC estimates. The objectives of this study were: to develop and benchmark ML algorithms trained using full PK profiles to estimate MeltDose (R)-tacrolimus individual AUCs using 2 or 3 blood concentrations; and to compare their performance to MAP-BE. Methods: Data from liver (n = 113) and kidney (n = 97) transplant recipients involved in MeltDose-tacrolimus PK studies were used for the training and evaluation of ML algorithms. "True" AUC0-24 h was calculated for each patient using the trapezoidal rule on the full PK profile. ML algorithms were trained to estimate tacrolimus true AUC using 2 or 3 blood concentrations. Performances were evaluated in 2 external sets of 16 (renal) and 48 (liver) transplant patients. Results: Best estimation performances were obtained with the MARS algorithm and the following limited sampling strategies (LSS): predose (0), 8, and 12 h post-dose (rMPE = -1.28%, rRMSE = 7.57%), or 0 and 12 h (rMPE = -1.9%, rRMSE = 10.06%). In the external dataset, the performances of the final ML algorithms based on two samples in kidney (rMPE = -3.1%, rRMSE = 11.1%) or liver transplant recipients (rMPE = -3.4%, rRMSE = 9.86%) were as good as or better than those of MAP-BEs based on three time points. Conclusion: The MARS ML models developed using "true" MeltDose (R)-tacrolimus AUCs yielded accurate individual estimations using only two blood concentrations.Personalised Therapeutic

HRP-2, the Caenorhabditis elegans Homolog of Mammalian Heterogeneous Nuclear Ribonucleoproteins Q and R, Is an Alternative Splicing Factor That Binds to UCUAUC Splicing Regulatory Elements*

Alternative splicing is regulated by cis sequences in the pre-mRNA that serve as binding sites for trans-acting alternative splicing factors. In a previous study, we used bioinformatics and molecular biology to identify and confirm that the intronic hexamer sequence UCUAUC is a nematode alternative splicing regulatory element. In this study, we used RNA affinity chromatography to identify trans factors that bind to this sequence. HRP-2, the Caenorhabditis elegans homolog of human heterogeneous nuclear ribonucleoproteins Q and R, binds to UCUAUC in the context of unc-52 intronic regulatory sequences as well as to RNAs containing tandem repeats of this sequence. The three Us in the hexamer are the most important determinants of this binding specificity. We demonstrate, using RNA interference, that HRP-2 regulates the alternative splicing of two genes, unc-52 and lin-10, both of which have cassette exons flanked by an intronic UCUAUC motif. We propose that HRP-2 is a protein responsible for regulating alternative splicing through binding interactions with the UCUAUC sequence