Tamara Prieto

Tamara Prieto
Weill Cornell Medical College | Cornell

Doctor of Philosophy
Postdoctoral fellow at Weill Cornell Medicine & New York Genome Center

About

12
Publications
2,320
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76
Citations
Citations since 2016
12 Research Items
76 Citations
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Publications

Publications (12)
Preprint
Full-text available
Transmissible cancers are malignant cell clones that spread among individuals through transfer of living cancer cells. Several such cancers, collectively known as bivalve transmissible neoplasia (BTN), are known to infect and cause leukaemia in marine bivalve molluscs. This is the case of BTN clones affecting the common cockle, Cerastoderma edule ,...
Preprint
Full-text available
In normal somatic tissue differentiation, changes in chromatin accessibility govern priming and commitment of precursors towards cellular fates. In turn, somatic mutations can disrupt differentiation topologies leading to abnormal clonal outgrowth. However, defining the impact of somatic mutations on the epigenome in human samples is challenging du...
Article
Treatment for leukaemia can fail for reasons that are not fully clear. Tracking the progress of individual cellular lineages for this type of cancer offers a way to investigate this phenomenon. Mechanism uncovered for how leukaemia evades therapy.
Article
In hematopoiesis, changes in chromatin accessibility define priming and commitment of hematopoietic precursors towards cellular fates. In turn, somatic mutations in hematopoietic stem and progenitor cells (HSPCs) drive the onset and progression of myeloid disorders, such as myeloproliferative neoplasms (MPNs), and reshape differentiation topologies...
Article
Full-text available
The theory of evolution is one of the greatest scientific achievements in the intellectual history of humankind, yet it is still contentious within certain social groups. Despite being as robust and evidence-based as any other notable scientific theory, some people show a strong reluctance to accept it. In this study, we used the Measure of Accepta...
Preprint
Full-text available
Multiregional bulk sequencing data is necessary to characterize intratumor genetic heterogeneity. Novel somatic variant calling approaches aim to address the particular characteristics of multiregional data, but it remains unclear to which extent they improve compared to single-sample strategies. Here we compared the performance of 16 single-nucleo...
Preprint
Full-text available
Single-cell genomics is an alluring area that holds the potential to change the way we understand cell populations. Due to the small amount of DNA within a single cell, whole-genome amplification becomes a mandatory step in many single-cell applications. Unfortunately, single-cell whole-genome amplification (scWGA) strategies suffer from several te...
Article
Full-text available
Tumor samples most often comprise a mixture of different cell lineages. Multiregional trees built from bulk mutational profiles do not consider this heterogeneity and can potentially lead to erroneous evolutionary inferences, including biased timing of somatic mutations, spurious parallel mutation events, and/or incorrect chronological ordering of...
Preprint
Full-text available
It is generally agreed that tumors are composed of multiple cell clones defined by different somatic mutations. Characterizing the evolutionary mechanisms driving this intratumor genetic heterogeneity (ITH) is crucial to improve both cancer diagnosis and therapeutic strategies. For that purpose, recent ITH studies have focused on qualitative compar...
Chapter
The emergence of next-generation sequencing (NGS) technologies has facilitated the accumulation of large genomic datasets for most types of cancer. The analysis of these data has confirmed the early predictions of extensive sequence and structural diversity of cancer genomes, fueling the development of new computational approaches to decipher inter...
Conference Paper
Recent studies have revealed extensive genomic differences among malignant cells conforming a tumor. Such diversity has important clinical implications because renders single tumor samples not representative of the spectrum of somatic cancer mutations present in a patient. Here, we analyze next-generation sequencing data from a patient with chronic...

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