eLife

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1. We couldn't get details of this article at this time:
   10.1101/2024.11.04.621860

2. We couldn't get details of this article at this time:
   10.1101/2024.09.11.612529

3. We couldn't get details of this article at this time:
   10.1101/2025.05.23.655779

4. We couldn't get details of this article at this time:
   10.1101/2025.05.13.653866

5. We couldn't get details of this article at this time:
   10.1101/2025.04.01.644179

6. Noninvasive ultrasound targeted modulation of calcium influx in splenic immunocytes potentiates antineoplastic immunity attenuating hepatocellular carcinoma proliferation

   This article has 11 authors:

   1. Wei Dong
   2. Guihu Wang
   3. Senyang Li
   4. Yichao Chai
   5. Qian Wang
   6. Yucheng Li
   7. Qiaoman Fei
   8. Yujin Zong
   9. Jing Geng
   10. Pengfei Liu
   11. Zongfang Li

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This valuable study presents an innovative noninvasive immunotherapeutic strategy for hepatocellular carcinoma by combining ultrasound stimulation with calcium-loaded nanodroplets to activate splenic immune responses. The authors provide solid preclinical data, including single-cell transcriptomic analyses and evidence of tumor growth suppression, supported by a creative and well-executed methodology. Further validation of the calcium signaling mechanisms and assessment of long-term safety will strengthen the translational potential of this approach. The work will be of broad interest to researchers in oncology, immunotherapy, and biomedical engineering.

   Reviewed by eLife

7. The impact of ambient contamination on demultiplexing methods for single-nucleus multiome experiments

   This article has 10 authors:

   1. Terence Li
   2. Marcus Alvarez
   3. Cuining Liu
   4. Kevin Abuhanna
   5. Yu Sun
   6. Jason Ernst
   7. Kathrin Plath
   8. Brunilda Balliu
   9. Chongyuan Luo
   10. Noah Zaitlen

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This study introduces ambisim, a rigorously validated and well-documented simulation framework that enables the generation of synthetic, genotype-aware single-cell RNA and ATAC sequencing datasets under realistic conditions. The authors provide solid evidence of its utility by benchmarking multiple demultiplexing methods and proposing a new variant consistency metric. While the tool is valuable for guiding method selection, the interpretation of the new metric requires further clarification.

   Reviewed by eLife

8. We couldn't get details of this article at this time:
   10.1101/2024.11.07.622453

9. We couldn't get details of this article at this time:
   10.1101/2025.05.17.654682

10. We couldn't get details of this article at this time:
    10.1101/2025.04.15.649019