Establishment and large-scale expansion of minimally cultured "young" tumor infiltrating lymphocytes for adoptive transfer therapy.

Treatment of metastatic melanoma patients with adoptively transferred tumor infiltrating lymphocytes (TIL) has developed into an effective therapy. Various studies reported objective responses of 50% and more. The use of unselected, minimally cultured, bulk TIL (Young-TIL) has simplified the TIL production process and may therefore, allow the accessibility of this approach to cancer centers worldwide. This article describes the precise process leading to the large-scale production of Young-TIL for therapy. We have enrolled 55 melanoma patients and optimized their Young-TIL generation process. Young-TIL cultures were successfully established for 51 of 55 (93%) patients in 16.7 ± 5.5 days. In a large-scale expansion procedure Young-TIL of 32 patients were further expanded to treatment levels, resulting in a final number of 4.5 x 10¹° ± 2.0 x 10¹° TIL. Fifteen of 31 (48%) patients, who were evaluated, achieved a clinical response, including 4 complete and 11 partial responses. We confirmed the significant correlation between short culture duration, high number of infused cells, and tumor regression. A high percentage of CD8 T cells in the infusion product was beneficial to achieve an objective response. All responding patients were treated with Young-TIL cultures established in < 20 days. In summary, we describe here an efficient and reliable method to generate Young-TIL for adoptive transfer therapy, which may easily be adopted by other cancer centers and can lead to objective responses in 50% of refractory melanoma patients. In the future this approach may be used also in other types of malignancies.

Small nucleolar RNA interference in Trypanosoma brucei: mechanism and utilization for elucidating the function of snoRNAs.

Expression of dsRNA complementary to small nucleolar RNAs (snoRNAs) in Trypanosoma brucei results in snoRNA silencing, termed snoRNAi. Here, we demonstrate that snoRNAi requires the nuclear TbDCL2 protein, but not TbDCL1, which is involved in RNA interference (RNAi) in the cytoplasm. snoRNAi depends on Argonaute1 (Slicer), and on TbDCL2, suggesting that snoRNA dicing and slicing takes place in the nucleus, and further suggesting that AGO1 is active in nuclear silencing. snoRNAi was next utilized to elucidate the function of an abundant snoRNA, TB11Cs2C2 (92 nt), present in a cluster together with the spliced leader associated RNA (SLA1) and snR30, which are both H/ACA RNAs with special nuclear functions. Using AMT-UV cross-linking and RNaseH cleavage, we provide evidence for the interaction of TB11Cs2C2 with the small rRNAs, srRNA-2 and srRNA-6, which are part of the large subunit (LSU) rRNA. snoRNAi of TB11Cs2C2 resulted in defects in generating srRNA-2 and LSUß rRNA. This is the first snoRNA described so far to engage in trypanosome-specific processing events.

Psiscan: a computational approach to identify H/ACA-like and AGA-like non-coding RNA in trypanosomatid genomes.

BACKGROUND: Detection of non coding RNA (ncRNA) molecules is a major bioinformatics challenge. This challenge is particularly difficult when attempting to detect H/ACA molecules which are involved in converting uridine to pseudouridine on rRNA in trypanosomes, because these organisms have unique H/ACA molecules (termed H/ACA-like) that lack several of the features that characterize H/ACA molecules in most other organisms. RESULTS: We present here a computational tool called Psiscan, which was designed to detect H/ACA-like molecules in trypanosomes. We started by analyzing known H/ACA-like molecules and characterized their crucial elements both computationally and experimentally. Next, we set up constraints based on this analysis and additional phylogenic and functional data to rapidly scan three trypanosome genomes (T. brucei, T. cruzi and L. major) for sequences that observe these constraints and are conserved among the species. In the next step, we used minimal energy calculation to select the molecules that are predicted to fold into a lowest energy structure that is consistent with the constraints. In the final computational step, we used a Support Vector Machine that was trained on known H/ACA-like molecules as positive examples and on negative examples of molecules that were identified by the computational analyses but were shown experimentally not to be H/ACA-like molecules. The leading candidate molecules predicted by the SVM model were then subjected to experimental validation. CONCLUSION: The experimental validation showed 11 molecules to be expressed (4 out of 25 in the intermediate stage and 7 out of 19 in the final validation after the machine learning stage). Five of these 11 molecules were further shown to be bona fide H/ACA-like molecules. As snoRNA in trypanosomes are organized in clusters, the new H/ACA-like molecules could be used as starting points to manually search for additional molecules in their neighbourhood. All together this study increased our repertoire by fourteen H/ACA-like and six C/D snoRNAs molecules from T. brucei and L. Major. In addition the experimental analysis revealed that six ncRNA molecules that are expressed are not downregulated in CBF5 silenced cells, suggesting that they have structural features of H/ACA-like molecules but do not have their standard function. We termed this novel class of molecules AGA-like, and we are exploring their function. This study demonstrates the power of tight collaboration between computational and experimental approaches in a combined effort to reveal the repertoire of ncRNA molecles.