BOOKS

ABOUT TRANSIENT ANCHORS

In Transient Anchors, Libère J. Ndacayisaba recounts an extraordinary journey across continents, cultures, and crises.

Forced to escape his home during the 1993 Burundian genocide, he grew up amid loss, displacement, and uncertainty. Yet through the instability of refugee camps, the weight of survival, seminary education, and scientific research, fleeting moments of kindness became anchors as he found resilience in the turbulence of life.

From carrying the scars of war to navigating culture shock in America, Libère pursued knowledge with unrelenting resolve. His story traces a path from village fields to world-class laboratories, from silence and struggle to the voice of a scientist and leader. Along the way, he discovers that resilience is not just enduring hardship but transforming it into purpose—for family, for country, and for humanity.

If you believe in the strength of the human spirit and the possibility of rising beyond unimaginable beginnings, this book will move and inspire you. Step into Libère’s story today.

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OTHER WORKS BY THE AUTHOR
(Some of the science stuff)

Novel Myeloma Biomarkers from Single-cell Proteomics

Single-cell proteomics | Liquid biopsy Published in Nature Precision Oncology Multiple myeloma (MM) is accompanied by alterations to the normal plasma cell (PC) proteome, leading to changes to the tumor microenvironment and disease progression. There is a great need for understanding the consequences that lead to MM progression and for the discovery of new biomarkers that can aid clinical diagnostics and serve as targets for therapeutics. This study demonstrates the applicabi

1 min read

Deep learning for Multimodal Data Integration

Machine learning | Multimodality | Precision oncology Book chapter in Circulating Tumor Cells, 2nd Edition Abstract The complex multimodality in clinical and liquid biopsy data generated by multiparametric diagnostic and tumor profiling technologies presents an exciting opportunity for developing innovative predictive mathematical models by harnessing large datasets across studies and institutional data repositories. Further, comprehensive liquid biopsy analysis with single-c

1 min read

Clonotypic and Transcriptomic Evolution of Myeloma

Single Cell Multiomics | Precursor Disease Published in Cancer Cell Abstract Multiple myeloma remains an incurable disease, and the cellular and molecular evolution from precursor conditions, including monoclonal gammopathy of undetermined significance and smoldering multiple myeloma, is incompletely understood. Here, we combine single-cell RNA and B cell receptor sequencing from fifty-two patients with myeloma precursors in comparison with myeloma and normal donors. Our comp

1 min read

BCMA Expression in Circulating Cancer Cells.

Published in Int J Mol Sci. B-cell maturation antigen | Neoplastic progression Abstract B-cell maturation antigen (BCMA), a key regulator of B-cell proliferation and survival, is highly expressed in almost all cases of plasma cell neoplasms and B-lymphoproliferative malignancies. BCMA is a robust biomarker of plasma cells and a therapeutic target with substantial clinical significance. However, the expression of BCMA in circulating tumor cells of patients with hematological m

1 min read

Morphogenomic Assay for Detecting Circulating Plasma Cells.

Published in Current Oncology Morphogenomics | Circulating myeloma cells Abstract Multiple myeloma is an incurable malignancy that initiates from a bone marrow resident clonal plasma cell and acquires successive mutational changes and genomic alterations, eventually resulting in tumor burden accumulation and end-organ damage. It has been recently recognized that myeloma secondary genomic events result in extensive sub-clonal heterogeneity both in localized bone marrow areas a

2 min read

Machine Learning Models to Predict off-target Effects in RNAi.

RNA interference | Machine Learning Abstract RNA interference (RNAi) has proved to be a valuable pathway process and successful tool for posttranscriptional gene regulation in prokaryotic and invertebrate systems. With high specificity, small interfering RNAs (siRNAs) induce mRNA degradation and thus inhibiting gene expression. This mechanism enables the design of synthetic siRNAs for use in mammalian cell loss-of-function experiments, drug target identification, and as a pot

1 min read

Homology Modeling and Inhibitors of hSGLTs.

Na/Glu Co-transporters | Molecular Docking Abstract The sodium-dependent glucose co-transporters (SGLTs) are membrane proteins that function by harnessing the energy stored in transmembrane sodium gradients to actively transport sugars, which are crucial for maintaining cellular energy homeostasis. In humans, dietary glucose is imported via SGLT1 (hSGLT1) in the small intestines, while hSGLT2 reabsorbs filtered glucose in the kidneys. Diabetic patients suffer from improper su

2 min read

Molecular Taxonomy of Mirids.

Molecular Biology | Bioinformatics Background While humans are equipped with the intelligence to make sophisticated machines and travel into space, insects really rule the world. With an estimated 10 million species and more biomass than humans, insects are the most successful creatures on Earth. While the reason for their success remains an important subject of scientific research, there is still an enormous gap in our understanding of insect taxonomy (the identification and

3 min read

TRANSIENT ANCHORS

BOOKS

ABOUT TRANSIENT ANCHORS

ORDER YOUR COPY

OTHER WORKS BY THE AUTHOR
(Some of the science stuff)

Novel Myeloma Biomarkers from Single-cell Proteomics

Deep learning for Multimodal Data Integration

Clonotypic and Transcriptomic Evolution of Myeloma

BCMA Expression in Circulating Cancer Cells.

Morphogenomic Assay for Detecting Circulating Plasma Cells.

Machine Learning Models to Predict off-target Effects in RNAi.

Homology Modeling and Inhibitors of hSGLTs.

Molecular Taxonomy of Mirids.

LIBERE JENSEN NDACAYISABA

SUBSCRIBE TO OUR NEWSLETTER

TRANSIENT ANCHORS

BOOKS

ABOUT TRANSIENT ANCHORS

ORDER YOUR COPY

OTHER WORKS BY THE AUTHOR (Some of the science stuff)

Novel Myeloma Biomarkers from Single-cell Proteomics

Deep learning for Multimodal Data Integration

Clonotypic and Transcriptomic Evolution of Myeloma

BCMA Expression in Circulating Cancer Cells.

Morphogenomic Assay for Detecting Circulating Plasma Cells.

Machine Learning Models to Predict off-target Effects in RNAi.

Homology Modeling and Inhibitors of hSGLTs.

Molecular Taxonomy of Mirids.

LIBERE JENSEN NDACAYISABA

SUBSCRIBE TO OUR NEWSLETTER

OTHER WORKS BY THE AUTHOR
(Some of the science stuff)