Biomedical subjects

Yiran Guo

Publications and source records attributed to Yiran Guo.

3 recordsLinked to original sources

PubMed2026

The Gabriella Miller Kids First Data Resource for genomic research in pediatric cancer and congenital anomalies.

Nine-year-old brain tumor patient Gabriella Miller challenged members of Congress to "stop talking and start doing" when providing federal funding for research into cures for pediatric cancer and congenital anomalies. Though she ultimately lost her life to that cancer, her advocacy efforts resulted in the 2014 Gabriella Miller Kids First Research Act, launching the Gabriella Miller Kids First Pediatric Research Program at the National Institutes of Health (NIH). The overarching goal of the Gabriella Miller Kids First Pediatric Research Program is to help researchers uncover new insights into the biology of childhood cancer and congenital anomalies. Following the signing of the Gabriella Miller Kids First Research Act 2.0 in January 2025, the program has been extended at NIH through 2028 to advance the groundwork laid in the program's first ten years. The Gabriella Miller Kids First Data Resource Center has since honored her legacy by building a comprehensive data resource for genomic research into pediatric conditions. Data from more than 30,000 participants annotated with demographic and clinical information related to their diagnoses have been released for secondary research and analysis using the center's web-based platforms. This paper analyzes the outcomes of the initiative and highlights breakthroughs made by the larger research community resulting from the availability of this data resource. We explore the future expansion of the data resource to include new modalities and tools for supporting life-saving research for children like Gabriella Miller.

Humans↗

PubMed2006

PigGIS: Pig Genomic Informatics System.

Pig Genomic Information System (PigGIS) is a web-based depository of pig (Sus scrofa) genomic learning mainly engineered for biomedical research to locate pig genes from their human homologs and position single nucleotide polymorphisms (SNPs) in different pig populations. It utilizes a variety of sequence data, including whole genome shotgun (WGS) reads and expressed sequence tags (ESTs), and achieves a successful mapping solution to the low-coverage genome problem. With the data presently available, we have identified a total of 15 700 pig consensus sequences covering 18.5 Mb of the homologous human exons. We have also recovered 18 700 SNPs and 20 800 unique 60mer oligonucleotide probes for future pig genome analyses. PigGIS can be freely accessed via the web at http://www.piggis.org/ and http://pig.genomics.org.cn/.

Animals↗

PubMed2005

[Study on relationship between three-dimensional quantitative structure and retention parameters of chromatography].

A novel method to predict retention parameters of liquid chromatography is developed. By determining their lowest energy conformation, molecules are aligned according to one specific rule and the scope of the molecular field is defined around the aligned molecules. A positively charged sp3 carbon probe atom is used to calculate the characters of the molecular field such as the electrostatic and steric interaction energies. Then partial least square (PLS) method is exploited to analyze relationships between the a, c parameters of compounds and characters of the molecular field and finally comparative molecular field analysis (CoMFA) models are built, which are exploited to study three-dimensional quantitative structure-retention relationship (QSRR) between the a, c parameters of compounds in methanol/water on a reversed-phase C18 column and the characters of the molecular field. The models are applied to four different forms of arenes: alkylation-substituted benzenes, multi-ring arenes, chlorobenzenes and dinitro-substituted arenes. The results of PLS analyses show that three-dimensional models are obtained from the first three forms. The cross-validated q2 of the first three models are all above 0.5 and the non-cross-validated r2 of the first two forms are even above 0.995, so the predictive abilities of these models are considerable. The model of dinitro-substituted arenes is not so reasonable. The possible reason is that the nitro-substitutions are on different benzene rings. The novel method explored can be utilized to predict the retention parameters of the compounds, which are unknown but have the same kind of structure with the known compounds, and also provide information about the class of the compounds. The results of this project can be applied to direct the further study of the relationship between three-dimensional quantitative structure and retention parameters of liquid chromatography.

Benzene Derivatives↗