Research output per year
Research output per year
Personal profile
Research interests
- Bioninformatic
- Systems biology
- Single-cell analyses
- Network biology
- Systems medicine
- Tissue selectivity
- Hereditary diseases
Fingerprint
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
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Human clearance systems have a layered architecture across tissues and cell types that supports varied proteome compositions
Vinogradov-Talyah, E., Edri, B., Ravkaie, L., Lazarescu, O., Gharra, F., Jubran, J., Ben-Zvi, A. & Yeger-Lotem, E., 1 Jan 2026, In: Autophagy. 22, 1, p. 145-167 23 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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, , 1 Feb 2025, In: Nature Genetics. 57, 2, p. 413-426 14 p., 1438.Research output: Contribution to journal › Article › peer-review
Open Access47 Scopus citations -
Kits, compositions and methods for evaluating immune system status.
Yeger-Lotem, E. (Inventor), Monsonego, A. (Inventor), Hekselman Toledano, I. (Inventor) & Elyahu, Y. (Inventor), 2025, IPC No. Israel, Patent No. 285460Research output: Patent
-
Network-based anomaly detection algorithm reveals proteins with major roles in human tissues
Kagan, D., Jubran, J., Yeger-Lotem, E. & Fire, M., 1 Jan 2025, In: GigaScience. 14Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
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, , 1 May 2025, In: Nature Metabolism. 7, 5, p. 875-894 20 p.Research output: Contribution to journal › Review article › peer-review
Open Access30 Scopus citations -
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 Access14 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 Access7 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 Access1 Scopus citations -
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 Access75 Scopus citations
Activities
- 2 Visiting an external academic institution
-
Harvard University
Yeger-Lotem, E. (Visiting researcher)
2015 → 2016Activity: Visiting an external institution › Visiting an external academic institution
-
Broad Institute
Yeger-Lotem, E. (Visiting researcher)
2015 → 2016Activity: Visiting an external institution › Visiting an external academic institution
Press/Media
Equipment
-
Yeger Lotem Lab
Yeger-Lotem, E. (PI)
Department of Clinical Biochemistry and PharmacologyEquipment/facility: lab
-
Mapping the Human Adipose Tissue Cells and Intercellular Communication
Blüher, M. (PI), Körner, A. (CoPI), Rudich, A. (CoPI), Yeger-Lotem, E. (CoPI), Habib, N. N. (CoPI) & Murphy, R. R. (CoPI)
1/01/22 → …
Project: Research
-
Mapping the Human Adipose Tissue Cells and Intercellular Communication
Blüher, M. (PI), Körner, A. (CoPI), Rudich, A. (CoPI), Yeger-Lotem, E. (CoPI), Habib, N. N. (CoPI) & Murphy, R. R. (CoPI)
1/01/22 → …
Project: Research
-
-
A systems biology approach to reveal cellular pathways underlying Alzheimer disease
Lindquist, S. S. (PI) & Yeger-Lotem, E. (CoPI)
United States-Israel Binational Science Foundation (BSF)
1/01/11 → …
Project: Research
-
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)
1/01/09 → …
Project: Research
-
Deciphering a yeast model for beta-amyloid toxicity
Yeger-Lotem, E. (PI) & Lindquist, S. S. (CoPI)
United States-Israel Binational Science Foundation (BSF)
1/01/09 → …
Project: Research
-
Integrative computational approaches for unraveling the molecular basis of tissue-selective traits and diseases
Yeger-Lotem, E. (PI)
1/01/22 → 1/01/26
Project: Research
-
Integrative computational approaches for unraveling the molecular basis of hereditary diseases
Yeger-Lotem, E. (PI)
1/01/19 → 31/12/21
Project: Research
-
Integrative computational approaches for unraveling the molecular basis of hereditary diseases
Yeger-Lotem, E. (PI)
1/01/19 → 31/12/21
Project: Research
-
Integrative computational approaches for unraveling the molecular basis of hereditary diseases
Yeger-Lotem, E. (PI)
1/01/19 → 31/12/21
Project: Research
Datasets
-
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), Dryad, 30 Jan 2024
DOI: 10.5061/dryad.9w0vt4bm7, https://datadryad.org/stash/dataset/doi:10.5061/dryad.9w0vt4bm7
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
-
Additional file 7 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.26707014.v1, https://springernature.figshare.com/articles/dataset/Additional_file_7_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/26707014/1
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.v1, https://springernature.figshare.com/collections/Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/7182839/1
Dataset
-
Tissue-aware interpretation of genetic variants advances the etiology of rare diseases
Argov, C. (Creator), Shneyour, A. (Creator), Jubran, J. (Creator), Sabag, E. (Creator), Mansbach, A. (Creator), Sepunaru, Y. (Creator), Filtzer, E. (Creator), Gruber, G. (Creator), Yogev, Y. (Creator), Birk, O. (Creator), Chalifa-Caspi, V. (Creator), Rokach, L. (Creator) & Yeger-Lotem, E. (Creator), ZENODO, 21 Jul 2024
DOI: 10.5281/zenodo.11528443, https://zenodo.org/records/11528443
Dataset
-
Additional file 2 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.25608861, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/25608861
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.v1, 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/26707011/1
Dataset
-
Additional file 2 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.25608861.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Machine-learning_analysis_reveals_an_important_role_for_negative_selection_in_shaping_cancer_aneuploidy_landscapes/25608861/1
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 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