Esti Yeger-Lotem

Emailestiylbgu.acil

Research activity per year

Research interests

Bioninformatic
systems biology
network biology
tissue specificity
hereditary diseases

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Dive into the research topics where Esti Yeger-Lotem is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Human subcutaneous and visceral adipocyte atlases uncover classical and nonclassical adipocytes and depot-specific patterns
Lazarescu, O., Ziv-Agam, M., Haim, Y., Hekselman, I., Jubran, J., Shneyour, A., Muallem, H., Zemer, A., Rosengarten-Levin, M., Kitsberg, D., Levin, L., Liberty, I. F., Yoel, U., Dukhno, O., Adam, M., Braune, J., Müller, C., Raulien, N., Gericke, M. & Körner, A. & 5 others, Murphy, R., Blüher, M., Habib, N., Rudich, A. & Yeger-Lotem, E., 1 Jan 2025, (Accepted/In press) In: Nature Genetics. 1438.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations
Network-based anomaly detection algorithm reveals proteins with major roles in human tissues
Kagan, D., Jubran, J., Yeger-Lotem, E. & Fire, M., 6 Jan 2025, In: GigaScience. 14
Research output: Contribution to journal › Article › peer-review

Open Access
Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution
Loft, A., Emont, M. P., Weinstock, A., Divoux, A., Ghosh, A., Wagner, A., Hertzel, A. V., Maniyadath, B., Deplancke, B., Liu, B., Scheele, C., Lumeng, C., Ding, C., Ma, C., Wolfrum, C., Strieder-Barboza, C., Li, C., Truong, D. D., Bernlohr, D. A. & Stener-Victorin, E. & 46 others, Kershaw, E. E., Yeger-Lotem, E., Shamsi, F., Hui, H. X., Camara, H., Zhong, J., Kalucka, J., Ludwig, J. A., Semon, J. A., Jalkanen, J., Whytock, K. L., Dumont, K. D., Sparks, L. M., Muir, L. A., Fang, L., Massier, L., Saraiva, L. R., Beyer, M. D., Jeschke, M. G., Mori, M. A., Boroni, M., Walsh, M. J., Patti, M. E., Lynes, M. D., Blüher, M., Rydén, M., Hamda, N., Solimini, N. L., Mejhert, N., Gao, P., Gupta, R. K., Murphy, R., Pirouzpanah, S., Corvera, S., Tang, S., Das, S. K., Schmidt, S. F., Zhang, T., Nelson, T. M., O'Sullivan, T. E., Efthymiou, V., Wang, W., Tong, Y., Tseng, Y. H., Mandrup, S. & Rosen, E. D., 1 May 2025, In: Nature Metabolism. 7, 5, p. 875-894 20 p.
Research output: Contribution to journal › Review article › peer-review
Editorial: Celebrating women’s contribution to protein folding, misfolding, and degradation in honor of Susan Lindquist (1949–2016)
Ben-Zvi, A., Carra, S. & Yeger-Lotem, E., 1 Jan 2024, In: Frontiers in Molecular Biosciences. 11, 1504059.
Research output: Contribution to journal › Editorial

Open Access
Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J., Slutsky, R., Rozenblum, N., Rokach, L., Ben-David, U. & Yeger-Lotem, E., 1 Dec 2024, In: Genome Biology. 25, 1, 95.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Scopus citations
sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues
Sorek, G., Haim, Y., Chalifa-Caspi, V., Lazarescu, O., Ziv-Agam, M., Hagemann, T., Nono Nankam, P. A., Blüher, M., Liberty, I. F., Dukhno, O., Kukeev, I., Yeger-Lotem, E., Rudich, A. & Levin, L., 19 Jul 2024, In: iScience. 27, 7, 110368.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Tissue-aware interpretation of genetic variants advances the etiology of rare diseases
Argov, C. M., Shneyour, A., Jubran, J., Sabag, E., Mansbach, A., Sepunaru, Y., Filtzer, E., Gruber, G., Volozhinsky, M., Yogev, Y., Birk, O., Chalifa-Caspi, V., Rokach, L. & Yeger-Lotem, E., 4 Nov 2024, In: Molecular Systems Biology. 20, 11, p. 1187-1206 20 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease
Cain, A., Taga, M., McCabe, C., Green, G. S., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., Yeger-Lotem, E., Bennett, D. A., Yang, H. S., Regev, A., Menon, V., Habib, N. & De Jager, P. L., 1 Jul 2023, In: Nature Neuroscience. 26, 7, p. 1267-1280 14 p.
Research output: Contribution to journal › Article › peer-review

Open Access
38 Scopus citations
Network Modeling of Tissues and Cell Types
Ziv, M. & Yeger-Lotem, E., 2023, Encyclopedia of Cell Biology: Systems, Translational and Specialized Cell Aspects of Cell Biology. Second Edition ed. Elsevier, Vol. 6. p. 444-453 10 p.
Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary
Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation
Simonovsky, E., Sharon, M., Ziv, M., Mauer, O., Hekselman, I., Jubran, J., Vinogradov, E., Argov, C. M., Basha, O., Kerber, L., Yogev, Y., Segrè, A. V., Im, H. K., Birk, O., Rokach, L. & Yeger-Lotem, E., 8 Aug 2023, In: Molecular Systems Biology. 19, 8, e11407.
Research output: Contribution to journal › Article › peer-review

Open Access
5 Scopus citations

2 Visiting an external academic institution

Broad Institute
Yeger-Lotem, E. (Visiting researcher)
2015 → 2016
Activity: Visiting an external institution › Visiting an external academic institution
Harvard University
Yeger-Lotem, E. (Visiting researcher)
2015 → 2016
Activity: Visiting an external institution › Visiting an external academic institution

Ben-Gurion University of the Negev Reports Findings in Rare Diseases and Conditions (Tissue-aware interpretation of genetic variants advances the etiology of rare diseases)
Birk, O., Chalifa-Caspi, V., Yeger-Lotem, E. & Rokach, L.
1/10/24
1 item of Media coverage
Press/Media
Protein folding across human tissues
Yeger-Lotem, E.
19/05/21
1 Media contribution
Press/Media
חוקרים ישראלים גילו מה קורה למערכת החיסון כשמזדקנים
Yeger-Lotem, E.
21/08/19
1 Media contribution
Press/Media

Yeger Lotem Lab
Yeger-Lotem, E. (PI)
Department of Clinical Biochemistry and Pharmacology
Equipment/facility: lab

1 Active

Restoring the Fair Go: which policies and practices are likely to reverse growing health inequities in Australia post-COVID-19
Yeger-Lotem, E. (PI), Lindquist, S. S. (CoPI) & Baum, F. F. (PI)
United States-Israel Binational Science Foundation (BSF)
1/01/09 → …
Project: Research

Additional file 5 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707008, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707008
Dataset
Additional file 4 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707005.v1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707005/1
Dataset
Additional file 5 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707008.v1, https://springernature.figshare.com/articles/dataset/Additional_file_5_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707008/1
Dataset
Additional file 6 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707011, https://springernature.figshare.com/articles/dataset/Additional_file_6_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707011
Dataset
Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data
Hekselman, I. (Creator) & Yeger-Lotem, E. (Creator), ZENODO, 30 Jan 2024
DOI: 10.5061/dryad.9w0vt4bm7, https://zenodo.org10594836
Dataset
Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.c.7182839.v1, https://springernature.figshare.com/collections/Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/7182839/1
Dataset
Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.c.7182839, https://springernature.figshare.com/collections/Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/7182839
Dataset
Additional file 3 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707002.v1, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707002/1
Dataset
Additional file 4 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707005, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707005
Dataset
Additional file 3 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes
Jubran, J. (Creator), Slutsky, R. (Creator), Rozenblum, N. (Creator), Rokach, L. (Creator), Ben-David, U. (Creator) & Yeger-Lotem, E. (Creator), figshare, 2024
DOI: 10.6084/m9.figshare.26707002, https://springernature.figshare.com/articles/dataset/Additional_file_3_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707002
Dataset

Esti Yeger-Lotem

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Human subcutaneous and visceral adipocyte atlases uncover classical and nonclassical adipocytes and depot-specific patterns

Network-based anomaly detection algorithm reveals proteins with major roles in human tissues

Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution

Editorial: Celebrating women’s contribution to protein folding, misfolding, and degradation in honor of Susan Lindquist (1949–2016)

Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

sNucConv: A bulk RNA-seq deconvolution method trained on single-nucleus RNA-seq data to estimate cell-type composition of human adipose tissues

Tissue-aware interpretation of genetic variants advances the etiology of rare diseases

Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease

Network Modeling of Tissues and Cell Types

Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation

Broad Institute

Harvard University

Ben-Gurion University of the Negev Reports Findings in Rare Diseases and Conditions (Tissue-aware interpretation of genetic variants advances the etiology of rare diseases)

Protein folding across human tissues

חוקרים ישראלים גילו מה קורה למערכת החיסון כשמזדקנים

Yeger Lotem Lab

Restoring the Fair Go: which policies and practices are likely to reverse growing health inequities in Australia post-COVID-19

Additional file 5 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Additional file 4 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Additional file 5 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Additional file 6 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Affected cell types for hundreds of Mendelian diseases revealed by analysis of human and mouse single-cell data

Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Additional file 3 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Additional file 4 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Additional file 3 of Machine-learning analysis reveals an important role for negative selection in shaping cancer aneuploidy landscapes

Esti Yeger-Lotem

Personal profile

Research interests

Fingerprint

Collaborations and top research areas from the last five years

Research output

Activities

Press/Media

Equipment

Projects

Datasets