Samuel W. Lukowski

T-cell receptors identified by a personalized antigen-agnostic screening approach target shared neoantigen KRAS Q61H

The paper identifies T-cell receptors targeting KRAS Q61H neoantigen in NSCLC patients using antigen-agnostic screening and demonstrates their reactivity and potential for adoptive cell therapy.

Iso-Seq enables discovery of novel isoform variants in human retina at single cell resolution

The paper uses Iso-Seq to discover novel isoform variants in human retinal cells at single-cell resolution, identifying thousands of new transcripts and differential splicing patterns.

Risk of mitochondrial deletions is affected by the global secondary structure of the human mitochondrial genome

The paper identifies a contact zone in the human mitochondrial genome where deletions are more likely, linking it to aging and lifespan.

A pluripotent stem cell atlas of multilineage differentiation reveals TMEM88 as a developmental regulator of mammalian blood pressure

The paper creates an iPSC differentiation atlas and identifies TMEM88 as a regulator of mesendodermal development and blood pressure.

Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells

The paper identifies cell type-specific genetic control of gene expression in fibroblasts and iPSCs using single-cell RNA sequencing and eQTL mapping.

Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing

This study compares the performance of BGI and Illumina sequencing technologies for single-cell RNA-sequencing, finding that BGI outperforms Illumina in cell and gene detection but similar in gRNA detection.

Generation of human neural retina transcriptome atlas by single cell RNA sequencing

The paper generates a human neural retina transcriptome atlas using single-cell RNA sequencing, identifying 18 cell types and revealing a novel role for MALAT1 in rod degeneration.

ascend: R package for analysis of single cell RNA-seq data

ascend provides an R package for streamlined single-cell RNA-seq analysis, offering functions for filtering, normalization, clustering, and visualization.

Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent Giant Cell Arteritis

This study identifies transcriptomic biomarkers in CD4+ and CD8+ T cells from GCA patients over 12 months, revealing gene-phenotype associations and potential prognostic indicators.

Single-Cell Transcriptome Sequencing Of Human Induced Pluripotent Stem Cells Identifies Differentially Primed Subpopulations

The paper identifies four transcriptionally distinct subpopulations in human induced pluripotent stem cells using single-cell RNA sequencing and develops a machine learning method to classify and predict transitions between these states.

Cardiac differentiation at single cell resolution reveals a requirement of hypertrophic signaling for HOPX transcription

The paper maps cardiac differentiation at single-cell resolution, identifies HOPX dysregulation, and shows hypertrophic signaling is required for HOPX transcription in hPSC-derived cardiomyocytes.

Single Cell RNA Sequencing of stem cell-derived retinal ganglion cells.

The paper characterizes the transcriptome of human stem cell-derived retinal ganglion cells using single-cell RNA sequencing, identifying three subpopulations with varying maturity levels.

Determining cell fate specification and genetic contribution to cardiac disease risk in hiPSC-derived cardiomyocytes at single cell resolution

The paper reconstructs cell fate trajectories in hiPSC-derived cardiomyocytes using single-cell RNA-seq and identifies genes with dynamic roles in cardiovascular disease risk.