Lira Mamanova

The paper examines the transcriptional evolution of myeloid leukaemia in Down syndrome by analyzing single-cell RNA sequencing data from patient samples and fetal tissues.

This paper creates a human embryonic limb cell atlas using single-cell and spatial transcriptomics, identifying novel cell populations and developmental patterns.

This paper uses spatial transcriptomics and single-cell data to identify cellular niches in the human heart, revealing new insights into cardiac function and potential drug targets.

The paper constructs a human fetal lung cell atlas from 5-22 post conception weeks, identifying new cell states and regulators of epithelial fates.

MultiMAP integrates multimodal data by reducing dimensionality and preserving structure, outperforming existing methods in various tasks.

A multi-regional single-cell study of kidney tumours reveals clonotypic heterogeneity, immune cell exhaustion, and potential therapeutic targets through transcriptomic and exomic analysis.

Across 1,176,683 airway and lung cells from 22 datasets, ACE2 rises with age, in males and in smokers' multiciliated cells, and is lowest in young children.

The paper uses single-cell transcriptomics to map hematopoiesis in human fetal liver, identifying cell differentiation trajectories and shifts in hematopoietic composition during development.

The paper identifies a novel synovial innate lymphoid cell (ILC) subtype associated with a specific type of childhood autoimmune arthritis, highlighting its role in inflammation and potential as a therapeutic target.

BraCeR reconstructs B-cell receptor sequences and infers clonality from scRNA-seq data without needing additional Rep-seq.