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Biology subjects

Koestler, D.

Publications and source records attributed to Koestler, D..

4 recordsLinked to original sources

Inferring absolute counts from proportions by constraining multivariate normal distributions

Biological measurements often result in proportional data, which derive from underlying biological counts. Proportion data are lacking a dimension of information as compared to counts, restricting available analysis methods and separating the data from the biology. We demonstrate a mathematical technique that estimates absolute counts corresponding to proportion data, which we refer to as Mahalanobis Count Inference (MCI). MCI uses information from a population-representative multivariate normal (MVN) distribution of component counts and ultimately outputs an estimated count and a confidence interval per observation proportion vector. We apply MCI to the imputation of white blood cell (WBC) counts, and of total mRNA within single cells. The method performs very well on total mRNA recapitulation (log-space Pearsons R = 0.81), and well enough on WBC counts to outperform proportions at multiple classification tasks. MCI operates with minimal assumptions, and is applicable to many compositional omics.

systems biology↗

Proton FLASH Exposure Preserves Gut Commensal Microbiomes and Spares Intestinal Stem Cells

Emerging evidence shows Proton FLASH radiotherapy can spare normal tissues while maintaining anti-tumor efficacy. However, its impact on intestinal stem cell (ISC) populations and the gut microbiome remains unclear. This is critical, as the gut microbiome influences ISC radiosensitivity. In a mouse model of radiation-induced gastrointestinal syndrome, FLASH-irradiated mice exhibited better survival and less crypt-villus damage compared to mice exposed to conventional proton irradiation. Using scRNA-sequencing, we demonstrated that proton FLASH exposure using pulsed pencil beam scanning spares two distinct ISC populations--Lgr5+ CBCs and a Clu+, Mif+, Fabp2+, Anxa2+ revival stem cell (revSC) population--by modulating oxidative stress and cell cycle progression. Analysis of alpha and beta diversity demonstrated that FLASH modulates gut microbiota composition without compromising overall species richness. Notably, FLASH-irradiated mice had higher abundances of Alistipes sp. and Akkermensia sp., both known for protective effects on ISCs and the intestinal mucosa. The critical role of microbiome in FLASH-mediated sparing effect against radiation toxicity was further confirmed by fecal microbiota transplantation, where FLASH-donor microbiota demonstrated reduced lethality in recipients exposed to proton irradiation with conventional dose rate. Our findings highlight the crucial role of the microbiome in the FLASH-mediated sparing of the mucosal epithelium.

bioengineering↗

O-GlcNAc Homeostasis Controls Cell Fate Decisions During Hematopoiesis

The addition of O-GlcNAc (a single {beta}-D-N-acetylglucosamine sugar at serine and threonine residues) by O-GlcNAc transferase (OGT) and removal by O-GlcNAcase (OGA) maintains homeostatic levels of O-GlcNAc. We investigated the role of O-GlcNAc homeostasis in hematopoiesis utilizing G1E-ER4 cells carrying a GATA-1 transcription factor fused to the estrogen receptor (GATA-1ER) that undergo erythropoiesis following the addition of {beta}-estradiol (E2) and myeloid leukemia cells that differentiate into neutrophils in the presence of all-trans retinoic acid. During G1E-ER4 differentiation, a decrease in overall O-GlcNAc levels and an increase in GATA-1 interactions with OGT and OGA were observed. Transcriptome analysis on G1E-ER4 cells differentiated in the presence of Thiamet-G (TMG), an OGA inhibitor, identified expression changes in 433 GATA-1 target genes. Chromatin immunoprecipitation demonstrated that the occupancy of GATA-1, OGT, and OGA at Laptm5 gene GATA site was decreased with TMG. Myeloid leukemia cells showed a decline in O-GlcNAc levels during differentiation and TMG reduced the expression of genes involved in differentiation. Sustained treatment with TMG in G1E-ER4 cells prior to differentiation caused a reduction of hemoglobin positive cells during differentiation. Our results show that alterations in O-GlcNAc homeostasis disrupt transcriptional programs causing differentiation errors suggesting a vital role of O-GlcNAcylation in control of cell fate.

biochemistry↗

Correcting For Cell-Type Heterogeneity In Epigenome-Wide Association Studies: Premature Analyses And Conclusions

Recently, a study by Rahmani et al [1] claimed that a reference-free cell-type deconvolution method, called ReFACTor, leads to improved power and improved estimates of cell-type composition compared to competing reference-free and reference-based methods in the context of Epigenome-Wide Association Studies (EWAS). However, we identified many critical flaws (both conceptual and statistical in nature), which seriously question the validity of their claims. We outlined constructive criticism in a recent correspondence letter, Zheng et al [2]. The purpose of this letter is two-fold. First, to present additional analyses, which demonstrate that our original criticism is statistically sound. Second, to highlight additional serious concerns, which Rahmani et al have not yet addressed. In summary, we find that ReFACTor has not been demonstrated to outperform state-of-the-art reference-free methods such as SVA or RefFreeEWAS, nor state-of-the-art reference-based methods. Thus, the claim by Rahmani et al (a claim reiterated in their recent response letter [3]) that ReFACT or represents an advance over the state-of-the-art is not supported by an objective and rigorous statistical analysis of the data.

bioinformatics↗